Accounting firms across the UK are facing the same structural pressures.

Traditional compliance work is increasingly commoditised. Technology has flattened fees. Clients view statutory accounts and tax as very necessary, but not value-adding, pushing those services into price-led conversations rather than relationship-led ones.

At the same time, client expectations have shifted. Business owners increasingly want forward-looking insight, visibility, and support with decisions, not just historical reporting.

Most firms recognise this. Many already offer elements of advisory. Yet far fewer have managed to turn advisory into a repeatable, scalable way of working with clients.

To understand why, it helps to look at how firms actually deliver advisory in practice.

A Four-Stage View of Advisory Delivery Maturity

The model below doesn’t describe ambition, quality, or technical competence.

It describes how advisory services are designed, delivered, and commercialised day to day.

Firms can offer forecasting and still sit early on this scale. What changes across stages is not what firms want to do, but how advisory is supported operationally and commercially.

Where Most Firms Get Stuck

Most firms don’t get stuck because they lack ambition or intent. They get stuck because the way advisory is delivered creates friction.

At the compliance-led end, advisory has no natural home. Work is backwards-looking and obligation-driven, so even good conversations are hard to package, price, or repeat.

As firms begin offering advisory on an ad-hoc basis, value becomes clear. Clients will pay, but delivery is fragile. Forecasts start from scratch, scenarios take time to rebuild, and assumptions are buried. The work depends heavily on senior people, making advisory difficult to sell proactively or scale with confidence.

Structured advisory improves consistency, but effort often creeps back in. New decisions still require setup, and insights arrive periodically rather than when choices are being made. Many firms hover here, caught between structure and bespoke work.

Only when advisory becomes embedded does the model support the ambition. Forecasts stay live, assumptions are visible, and scenarios can be explored as questions arise. Advisory shifts from a project to an ongoing relationship.

This is why firms don’t get stuck moving from compliance to advisory. They get stuck moving from bespoke insight to repeatable decision support.

Why Skills and Client Relationships Develop Together

Advisory is difficult to scale because skills and client understanding don’t develop through training alone.

As CPA.com notes, advisory capability grows through repeated, relationship-led work, understanding how a client’s business operates and how decisions are actually made.

That depth is hard to build through one-off projects. Context is lost, learning doesn’t compound, and relationships remain concentrated with a few senior people. Even technically strong professionals can lack confidence when assumptions are hard to explain and conversations feel high-risk.

When delivery is continuous and structured, that changes. Regular conversations build commercial understanding. Assumptions become clearer. More people can contribute meaningfully.

The challenge, then, isn’t just developing advisory skills; it's creating a delivery environment where those skills and relationships can grow over time.

How Technology Supports Both Delivery and Skills Development

This is where platforms like CloudFO play a critical role.

CloudFO doesn’t replace judgment, expertise, or relationships. It reduces the delivery friction that makes advisory hard to learn, hard to repeat, and hard to scale.

By:

• Starting every engagement from a live baseline forecast
• Surfacing assumptions in plain language
• Generating and comparing scenarios in seconds
• Explaining outcomes visually and clearly

CloudFO creates a safer, more structured environment for advisory conversations.

That matters because:

• Skills develop through repetition, not one-off projects
• Confidence grows when outcomes are explainable
• Advisory improves when the focus shifts from building models to interpreting the impact they describe

For firms earlier on the curve, CloudFO helps professionals upskill through use, rather than requiring months of abstract training before advisory can be sold.

The Takeaway

Client demand for advisory is real. Skills development is a real challenge. But the biggest blocker remains how advisory is delivered.

When advisory relies on bespoke spreadsheets and manual effort:

• Skills are harder to build
• Confidence is harder to maintain
• Advisory remains high-value but high-risk

Firms that redesign delivery, using technology as an intermediary, create an environment where:

• Advisory skills develop faster
• Conversations become more consistent
• Forward-looking support becomes part of everyday client relationships

That is the shift CPA describes and the gap CloudFO is designed to close

Why Accounting Firms Are Moving Into Advisory Services

Rising client demand is driving accounting firms toward advisory services, unlocking new revenue streams and more strategic client relationships.

CloudFOLaura Smith

For some accounting firms, the move into advisory may not have started with a strategy day or a bold reinvention plan.

It started with a quiet shift in client behaviour.

Clients still need statutory accounts, tax returns, and compliance work. But increasingly, they treat those services as necessary for compliance but not valuable for business. Fees are questioned, comparisons are made, and conversations become price-led rather than relationship-led.

At the same time, a different kind of question is showing up more often.

No longer just “Can you file this?” But also “What should I do next?”

Compliance Has Become a Cost. Decisions Are Where Value Lives.

Technology has done exactly what it promised to do in compliance work.

Automation has improved accuracy, reduced manual effort, and standardised delivery. But it has also flattened differentiation. When every firm uses similar tools and processes, clients struggle to see meaningful differences and price becomes the deciding factor.

As a result, compliance has become:

• expected
• comparable
• and increasingly commoditised & automated

That doesn’t mean it isn’t important. It means it’s no longer where firms can sustainably create value.

Value now lives in helping clients make better decisions and building relationships.

Clients Don’t Want “Advisory”. They Want Clarity.

Most business owners don’t wake up asking for advisory services.

They ask questions like:

• “Can I afford to hire?”
• “Why does cash feel tight despite growth?”
• “What happens if revenue drops?”
• “Should I invest now or wait?”

These aren’t technical accounting questions. They’re planning, making trade-offs and asking decision questions.

And when accountants can’t help answer them, clients look elsewhere to fractional CFOs, consultants, or independent advisors. When it works well, these can all be partners.

This is why advisory isn’t an upsell. It’s a response to a gap clients already feel.

The Economic Case for Advisory Is Already Clear

Where firms do deliver advisory effectively, the commercial outcomes are materially different.

Industry research consistently shows that firms offering structured, ongoing advisory services achieve:

• Higher revenue per client
• More predictable recurring income
• Stronger client retention

Because advisory aligns fees with ongoing value, not one-off outputs.

The shift from year-end work to year-round relationships changes a firm's economics.

Accounting firm Growth: From Compliance to Embedded Advisory

UK accounting firms sit at very different stages of advisory maturity. From compliance-led services to embedded, decision-led advisory, each stage reflects a distinct delivery model with different implications for client impact, advisor role, and revenue opportunity.

CloudFOLaura Smith

Talent Expectations Are Changing Too

The pressure isn’t only coming from clients.

Accounting professionals entering the industry or aiming for growth increasingly want roles that involve:

• Judgement
• Interpretation
• Influence
• Problem-solving

Purely transactional work struggles to attract and retain experienced professionals, on top of challenges attracting people into the profession. Advisory services provide clearer progression paths and intellectually rewarding work, but only if they can be delivered consistently.

Without that consistency, advisory becomes stressful rather than satisfying.

So, Why Hasn’t Everyone Made the Shift?

If client demand, economics, and talent all point in the same direction, why haven’t most firms fully moved into advisory?

Because wanting to do advisory and being able to deliver it reliably are not the same thing.

Many firms:

• Offer advisory reactively
• Struggle to scope and price it
• Rely on bespoke spreadsheets
• Worry about getting it wrong in front of clients

The intent is there. The delivery model often isn’t.

Advisory Isn’t a New Service. It’s a New Way of Working.

This is the critical distinction.

Advisory isn’t something firms “add on” to compliance. It’s a different way of engaging with clients, one that’s:

• Forward-looking
• Continuous
• Decision-led

That shift requires changes in:

• How services are packaged
• How conversations are structured
• How technology supports delivery

Firms sense this intuitively. Many are already experimenting. Few feel fully confident they’ve cracked it.

Advisory doesn’t fail on intent. It fails on delivery.

CloudFO helps firms deliver forward-looking, decision-led advisory consistently, so confidence, capability, and value compound over time.

What Comes Next

Understanding why advisory is becoming unavoidable is the first step.

The next post will answer the questions: How do firms actually deliver advisory in practice and why do so many get stuck trying to scale it? Follow the blog so you don’t miss it.

Across the UK accountancy market, advisory is no longer an optional add-on. Clients increasingly expect help navigating decisions, trade-offs, and uncertainty,  not just accurate historical reporting.

Yet “advisory” is often used as a catch-all term, masking very different delivery models and levels of maturity. In practice, firms sit at distinct stages, each with its own constraints, economics, and client impact.

The visual above sets out four stages in the evolution of advisory in UK firms, culminating in Embedded Advisory, where insight is fully integrated into client decision-making.

Stage 1: Compliance-Led Services

Obligation-driven, transactional and backwards-looking

At Stage 1, a firm’s core role is about fulfilling statutory accounts, tax and regulatory obligations. Client interactions are functional and periodic, often annually or quarterly, with no ongoing commercial rhythm. The advisor is seen as a fulfiller of compliance tasks rather than a partner in business progression.

Advisory may occur, but only incidentally and typically in response to a client question after the fact. There is no formal forecasting or planning capability, and “outsourced finance” usually means operational support such as bookkeeping, payroll, or monthly close.

• Client relationship: Transactional, compliance first, insight optional
• Revenue left on the table: With pricing capped by compliance expectations (~£1k–£5k per client per year), firms forgo opportunities for recurring strategic fees.
• Skills & capability focus: Compliance and reporting proficiency dominate; strategic insight is not expected.
• The limitation: Advisory is tactical rather than strategic.

Stage 2: Ad-Hoc or Bespoke Advisory

Insight exists, but it doesn’t scale

At Stage 2, firms start to respond to client demand for forecasting, planning and insight but primarily on a bespoke basis. The relationship deepens around specific projects or business events, yet remains episodic.

Work is often bespoke, spreadsheet-driven, and reliant on senior individuals within the firm. Each engagement feels custom and manual, making scalability difficult. While day rates can be attractive, delivery friction limits capacity and consistency.

• Client relationship: Engaged around specific issues, but not integrated into ongoing decision cycles.
• Revenue left on the table: Attractive one-off project fees (£1k-£5K) replace the opportunity for recurring revenue streams.
• Skills & capability focus: Growing need for analytical skills, including basic forecasting and planning, but not consistently embedded in firm capability.
• The limitation: Advisory depends on particular individuals rather than a structured, repeatable model.

Stage 3: Ongoing Advisory Services

Defined service line, finance-led, with emerging scalability limits

Stage 3 marks a structural shift. Advisory becomes a defined, ongoing service rather than a series of one-off projects.

Firms package offerings such as budgeting, forecasting, KPI reporting, and periodic reforecasting into subscription or retainer models, often positioned as premium tiers or delivered through custom pricing. Client conversations become more frequent, and the advisor becomes a regular part of the client’s financial rhythm.

However, delivery is still largely finance-led. Insight often relies primarily on accounting data, with significant manual effort required to build a broader commercial context. This creates gaps between financial analysis and the full operational reality of the business, limiting how effectively advisory can inform live decisions.

This stage aligns with what many industry bodies describe as a mature advisory practice built on technology and recurring revenue. Research from CPA.com highlights that firms progressing along formal Client Advisory Services (CAS) frameworks see higher revenue growth and margins as they move beyond transactional work into insight-led relationships.

• Client relationship: Regular and proactive, but still periodic, typically monthly or quarterly.
• Revenue left on the table: Subscription retainers (£500–£2,000 per month) increase lifetime value, but pricing remains constrained by delivery effort and update cycles.
• Skills & capability focus: Firms introduce more structured advisory processes and tools, but often face capability gaps when deeper business insight or more dynamic analysis is required.
• The limitation: Advisory is repeatable, but not yet embedded into real-time decision-making.

Stage 4: Embedded Advisory

Decision-led, outcome-driven, and fully integrated

Stage 4 represents a qualitative shift, not just in services, but in role.

Here, advisory becomes the primary client relationship. The firm operates inside the client’s decision cycle, supporting trade-offs and outcomes as they happen. Financial and non-financial drivers are considered together, with forecasts integrating accounting, banking, and operational data.

Technology enables real-time analysis. Assumptions, decisions, and scenarios are captured in real-time, allowing options to be explored and compared on the spot. The advisor’s role moves decisively from producing reports to guiding decisions.

• Embedded Advisory is where the advisor operates inside the client’s decision cycle, guiding trade-offs and outcomes in real time, rather than producing reports after the fact.
• Client relationship: Fully embedded and continuous, with the advisor acting as an extension of the leadership team.
• Revenue model & unrealised upside: Embedded Advisory supports account-level recurring retainers aligned to outcomes and decision support, typically £2k–£10k+ per month, depending on complexity and scope.

However, without the right technology underpinning delivery, advisor capacity becomes the limiting factor. Manual processes and fragmented data restrict how many of these high-value clients each advisor can support,  leaving significant revenue unrealised.

When delivery is structurally supported by the right technology, firms can materially increase advisor leverage, enabling up to ~50% more clients per advisor without compromising quality or depth of insight.

• The limitation (without technology): Embedded Advisory, while relationship-led, is capacity-constrained.

Why Technology Enables the Shift and Why CloudFO Matters

Reaching Embedded Advisory is not just a mindset change. It requires delivery capability at scale, something traditional spreadsheets and point tools were never designed to support.

At Stage 4, advisory depends on the ability to support live decisions, not just produce periodic insight. That requires technology capable of handling complexity, context, and speed simultaneously.

Modern Embedded Advisory depends on:

• Real-time forecasting that updates as assumptions change
• Fast, dynamic scenario modelling and budgeting, grounded in real business context, goals, and decisions
• Integrated financial and operational data, rather than just isolated accounting views
• Collaborative client engagement, enabling advisors and clients to explore options together
• Repeatable, scalable delivery workflows that reduce manual effort

CloudFO is built specifically to enable this evolution. It allows firms to:

• Generate and compare scenarios in seconds, not days
• Collaborate live with clients around decisions and trade-offs
• Reduce delivery friction so advisors spend more time on strategy and outcomes, not spreadsheets (but don't worry, you can still export to CSV if you really love them)

By addressing both capacity and capability constraints, CloudFO accelerates the transition to Embedded Advisory and unlocks higher-value revenue, without requiring every advisor to be a specialist in every technical discipline

Are UK Accounting Firms Being Set Up for the Same Growth as Their US Counterparts?

US accounting firms have scaled practice growth through advisory by evolving from CAS 1.0 to CAS 2.0. UK accounting firms have evolved differently. This article explores what that means and the rise of Embedded Advisory.

CloudFOAfiya Chohollo

Accounting firms on both sides of the Atlantic face the same structural pressures. Traditional compliance work is increasingly commoditised, technology has flattened fees, and clients now view compliance as necessary but not value-adding, which pushes those services into price-led conversations rather than relationship-led ones. At the same time, clients expect ongoing, forward-looking advice that helps them make better decisions, not just historical reporting. This is driving demand for more strategic advisory services.

In the US, this shift has been met with a coordinated response through Client Advisory Services (CAS), most recently formalised in CAS 2.0 by CPA.com and the AICPA. CAS 2.0 provides firms with a clear framework for delivering advisory services at scale.

In the UK, the same destination is widely acknowledged, but there is no equivalent firm-level framework defining how advisory services should be structured, commercialised or delivered consistently.

What CAS 2.0 actually represents

CAS 2.0 is a distinct service line focused on delivering ongoing, forward-looking insight to clients.

Under CAS 2.0, firms evolve from:

• Producing historical financial information to support better business decisions on an ongoing basis

That advisory value is delivered through a range of capabilities, including:

• Cashflow planning and forecasting
• Budgeting, reforecasting and scenario analysis
• FP&A and performance analysis
• KPI monitoring and business insights
• Strategic and operational decision support
• Market and commercial analysis

These capabilities are mechanisms, not the service itself. The service is the advisory relationship, which provides continuous business planning and guidance.

What CAS 2.0 enables and why it matters

In the USA, CPA.com defines advisory maturity as a progression from CAS 1.0 (recurring, finance-led advisory) to CAS 2.0 (embedded, decision-centric advisory). CAS 2.0’s contribution is not the promotion of individual techniques in isolation, but the codification of advisory delivery as an ongoing, scalable operating model for firms.

Specifically, CAS 2.0:

• Clearly separates advisory services from compliance and assurance
• Establishes expectations around ongoing cadence, scope and value, rather than one-off engagements
• Provides a shared language for firms, vendors and advisors to describe how advisory work is delivered and monetised
  

In doing so, CAS 2.0 legitimises advisory not as an occasional add-on, but as an ongoing way of working with clients.

At the most advanced stage of CAS maturity, firms are delivering ongoing Client Advisory Services that go well beyond periodic reporting. In this model, the firm maintains a continuous advisory relationship, supports planning, performance and decision-making throughout the year, and acts as a trusted advisor embedded in client decisions.

Capabilities such as forecasting, scenario modelling, budgeting, performance analysis and reporting are not incidental to this model; they are what make it possible. CAS 2.0 recognises that advisory at scale depends on platforms and tools that surface assumptions, model alternatives and explain impacts clearly, enabling advisors to move from producing information to supporting real-time decisions.

CPA.com’s 2024 CAS Benchmark Survey shows CAS practices reporting strong growth and improved recurring revenue outcomes compared with traditional services, with CAS services lines  growing at 2X that of overall firm growth. 

The UK position: agreement on outcomes, not on structure

UK professional bodies broadly agree on where finance is heading.

• CIMA emphasises planning, performance management and finance business partnering
• ACCA promotes strategic finance, analysis and decision support as core professional capabilities
• ICAEW discusses advisory services, practice growth and digital transformation

However, this guidance is primarily aimed at:

• Individual professionals, or
• In-house finance teams

There is less explicit, firm-level guidance on how accounting practices should design, package and scale Client Advisory Services.

As a result, “advisory” in the UK remains:

• Broadly defined
• Inconsistently delivered
• Difficult to price with confidence

Many firms deliver elements of advisory work, but without a shared framework that turns intent into a repeatable service model.

A critical difference: regulatory clarity in the US

One factor supporting the growth of CAS in the US is regulatory alignment.

In 2025, the AICPA clarified that when financial information is produced as a by-product of a Client Advisory Services engagement, i.e. the primary objective is advisory rather than reporting, the work does not fall under AR-C Section 70, the standard for preparing financial statements. Instead, it can be treated as a consulting engagement.

This clarification matters because it:

• Explicitly separates advisory work from financial statement preparation
• Reduces regulatory friction for forecasting, budgeting and scenario analysis
• Gives firms confidence to package and price CAS without unintended compliance obligations

There is no equivalent clarification in the UK, which contributes to more cautious and fragmented approaches to advisory service design.

So what is actually driving Client Advisory Services in the UK?

Despite the lack of institutional coordination, Client Advisory Services are growing in the UK, driven by four forces.

1. Client demand is the most immediate driver. UK businesses increasingly expect visibility, resilience and decision support, not just year-end reporting. Industry research shows that 75% of UK accounting practices report rising demand for advisory services, particularly in areas such as business strategy and financial planning. More specifically, 73% report increased demand for forecasting services, indicating that forward-looking insight is becoming a baseline expectation.
2. Technology platforms are accelerating this shift. Modern forecasting, planning and analysis tools have lowered the barrier to delivering forward-looking insight, making advisory services more accessible and repeatable for firms of all sizes.
3. Talent expectations are also reshaping service models. Accountants increasingly want work that involves judgement, interpretation and influence, rather than purely transactional reporting. Advisory services provide clearer progression paths and support retention.
4. Private Equity commercial and scale pressures are pushing firms toward advisory. Growth-oriented and private-equity-backed practices are focused on increasing revenue per client and moving from “year-enders to year-rounders”. Evidence from CPA.com’s CAS Benchmark Survey shows that firms with defined advisory and insights offerings achieve materially stronger economics, with those focused on higher-level advisory reporting around 30% higher recurring revenue than firms without structured advisory services.

Turning advisory demand into day-to-day delivery

In practice, the growth of Client Advisory Services is being enabled by platforms designed around decision-making and strategic support, not just reporting. Solutions such as CloudFO address rising client demand for advisory by giving accountants and advisors a live, forward-looking view of the business combining forecasting, scenario modelling, budgeting, KPI monitoring, automated financial statements and analytics in a single decision-support environment.

This allows advisors to work alongside clients in real time, exploring the financial and strategic implications of decisions such as hiring, pricing or growth plans, with assumptions made explicit and outcomes visualised clearly. Rather than producing isolated forecasts or reports, platforms like CloudFO support the core CAS objective: helping business owners understand their options, assess trade-offs and make better decisions on an ongoing basis.

Comparing approaches

Conclusion: convergence without coordination

The US and UK are moving toward the same future: accounting firms delivering ongoing advisory that helps clients plan, adapt, and make better decisions.

The difference lies in how that future is being shaped.

In the US, advisory growth has been coordinated through CAS 2.0, supported by regulatory clarification and shared industry frameworks. In the UK, the same destination is being reached through a different route, driven by client demand, technology adoption, talent expectations, and commercial pressure rather than formal classification.

This is where platforms like CloudFO matter. By providing a live, forward-looking baseline forecast and bringing planning, performance, and scenario analysis into a single environment, CloudFO allows client goals and decisions to be modelled in seconds. It enables firms to move from one-off advisory activity to an ongoing way of working with clients.

There is no denying client demand in the UK. With or without a coordinated framework, clients are already reshaping firm behaviour, treating compliance as a cost and advisory as the source of value. The firms that adapt to this reality will not wait for definition; they will create it.

Accounting firm Growth: From Compliance to Embedded Advisory

UK accounting firms sit at very different stages of advisory maturity. From compliance-led services to embedded, decision-led advisory, each stage reflects a distinct delivery model with different implications for client impact, advisor role, and revenue opportunity.

CloudFOLaura Smith

Why Financial Forecasting Is So Hard (But Doesn’t Have to Be)

Clients want forward-looking advice, but financial forecasting is hard to scale. This article explores why and how a new approach is emerging.

CloudFOLaura Smith

Clients are asking their accountants for far more than year-end compliance; they want help planning the future. And that demand is accelerating: CPA.com reports that CAS  (Client advisory services) is now growing at nearly twice the rate of the overall accounting profession.

But forecasting is challenging. Online discussions from in-house finance teams share how difficult it is to build and maintain a forecast when they have full access to people, plans and real-time information.

Now imagine trying to do the same work from the outside. No embedded context. No day-to-day visibility. Yet the client expects you to guide their strategy. This is the challenge for many modern firms to overcome. 

1. Data is fragmented. Forecasting requires financial + operational signals

Multiple FP&A professionals echoed the same challenge: the General Ledger alone is too limited.

“A lot of producing an accurate forecast comes down to knowing the business inside out. The General Ledger doesn’t tell you the story.”

Modern business information, customer transactions and operational data needed for true forecasting is held across dozens of systems, including accounting, banking, commerce, payroll, CRM, inventory, databases, as well as unstructured data like strategy documents, and more.

Yet accountants rarely see all of this in real time. Largely relying on reconciled accounting data. 

CloudFO integrates financial and operational systems to create one real-time view of performance, the foundation of accurate forecasting.

2. Forecasting requires deep business knowledge; something external accountants aren’t always given

An FP&A professional put it bluntly:

“Half of forecasting happens outside the numbers: what leaders plan, what teams delay, what the market shifts.”

In-house teams know:

• Who’s being hired next month
• Why delays occurred
• Which invoices are late
• That a supplier changed pricing
• That sales pushed a promo early
• That a founder made an unplanned spend

And beyond operations, in-house teams also know where the business is aiming to go. As one CFO told us: “Most forecasting tools assume the past repeats. They don’t take our growth ambitions or strategic goals into account.”

Great accounting firms and Fractional CFO's work hard to build strong client relationships so they can stay close to this operational reality. But the pace of change today is unprecedented and gathering this context across dozens of clients simply doesn’t scale. Firms end up spending more time chasing information than deepening the Client-Advisor relationship.

This creates a gap: clients want strategic, forward-looking insight, but firms often lack the real-time visibility needed to deliver it consistently.

CloudFO’s Business Review lets clients quickly provide updates on hiring, pricing, projects, risks, and plans, the critical context accountants normally chase across emails and meetings.

3. Forecasting is extremely manual, especially when locking multiple spreadsheets

For many businesses, building a forecast takes 12+ days internally. When outsourced, firms often charge £1,000+ per day because the work is so time-consuming.

Finance managers echoed the pain:

“Forecasting only becomes manageable once you’ve built complex models and keeping them updated is the real job.”

Accounting firms & advisors face an added layer of difficulty:

• Every client needs a different model
• Spreadsheets break easily
• Scenarios require copying tabs and reworking assumptions
• Models aren’t standardised across the clients
• May need to hire staff with FP&A skills

This is why forecasting doesn’t scale for most firms, even though demand is exploding. As a result, many firms only offer forecasting to a small subset of clients where the fees justify the manual effort.

CloudFO builds a rolling 12–24 month forecast automatically by learning the patterns in the client’s historical financial and operational data.

4. Explaining variances is even harder

One commenter joked:

“Predicting the future is one thing. Explaining the variances when the future decides to be stupid is harder.”

Another said:

“I make a forecast, VP wants a different number. Then I spend the year explaining why that wasn't achievable.”

Accountants know this pain well: This is why many firms say forecasting is “only worth doing” for top-tier clients.

With one click, CloudFO breaks down:

• How the forecast was constructed
• The patterns behind the numbers
• Emerging risks and opportunities
• What changed versus the last period
• What to discuss with the client

CloudFO lets advisors provide CFO-level explanations without hours of prep.

5. Scenario planning is nearly impossible to scale manually

Commenters pointed out that:

"The hardest part is making a model you can adjust logically without breaking everything.”

Yet clients continually ask:

• What if I hire two more people?
• What if sales drop 10%?
• What if we increase prices?
• What if we open a new location?

Scenario modelling is one of the most valuable advisory services, but also the most time-consuming.

How modern CAS firms solve this

CloudFO models the financial impact instantly and highlights differences from the base case, ready for client conversations.

6. Keeping forecasts updated and on-track is a persistent challenge

Even once a forecast is built, keeping it alive is where most teams struggle. A widely shared perspective puts it simply:

“Predicting is hard, but explaining why things have changed is often harder.”

Budgets go stale within weeks. Actuals come in differently than planned. One-offs distort the picture. Revenue drivers shift. Costs spike unexpectedly. A Quora commentator summarised the challenge:

“Businesses change faster than the spreadsheet does.”

For in-house finance teams this is already difficult. For accountants supporting dozens of clients, it’s almost impossible to maintain:

• A fixed annual budget
• A rolling forecast that reflects real performance
• Timely variance explanations
• Updated assumptions
• Visibility into upcoming events or risks

This is why many firms produce one budget a year and avoid ongoing forecasting the maintenance burden doesn’t scale.

“Lock a budget version while CloudFO keeps the rolling forecast updated automatically.”

CloudFO removes the complexity by automatically updating the rolling 12–24 month forecast from real client data. Allowing firms to fix a version as an annual plan or budget for comparison, showing budget versus actual versus rolling forecast side by side, highlighting and explaining all variances instantly.

Accountants can walk into every client meeting with a live, accurate forward view without rebuilding models or chasing updates.

CloudFO turns forecasting into a continuous, scalable advisory process instead of a once-a-year spreadsheet exercise.

Ready to try? Book a demo @info@cloudfo.co

Small and medium-sized businesses (SMBs) are the backbone of the UK economy, making up 99% of firms and driving over half of private sector turnover. Yet, despite their critical role, many continue to experience friction when accessing financial products and services. 

Our recent research collaboration with Loughborough University explored how AI and digital innovation can help banks close this service gap and build more resilient, trust-based relationships with SMBs.

We found that 47% of SMBs use no financial tools, and only 16% rely on bank-provided solutions - even though 89% want better cash-flow forecasting and 58% want automated insights. This mismatch highlights a major opportunity for banks to embed smarter, more connected support into SMB workflows.

The Urgency for Change

As business operations become increasingly digital-first, SMBs now expect banking experiences that mirror the seamlessness of modern commerce - fast, personalised and proactive. Yet legacy infrastructure, regulatory constraints and fragmented data continue to hold many banks back, allowing fintechs and challengers to capture market share through simpler, more customer-centric design.

However, this is not the end for traditional banks. It’s a wake-up call - and an opportunity to redefine their strengths. Fintechs have set new expectations for speed and usability, but banks hold a deeper advantage: the trust, scale and regulatory discipline to deliver innovation that’s both intelligent and reliable.

The real opportunity isn’t just to modernise systems, but to modernise relationships - to combine the stability SMBs already associate with banks, with the agility and foresight they now expect from digital providers.

Those that achieve this balance will not only regain competitiveness, but reshape what ‘trusted’ banking means in a digital era.

Bridging the Service Gap: Understanding the Disconnect

Lending still relies heavily on historical statements rather than live data - meaning weeks-long decisions at a time when SMBs need agility.

For banks, this challenge isn’t a lack of awareness but a structural reality: legacy technology, complex regulation, and competing priorities have made transformation difficult. Meanwhile, digital challengers have stepped in, using automation and integrated platforms to simplify onboarding, accelerate lending and offer more connected financial experiences.

The result is a widening service gap - not just in speed, but in relevance. SMBs still depend on banks for trust and stability, yet increasingly turn to fintechs for the tools and insights that help them operate day-to-day. Without targeted innovation, traditional institutions risk losing their foothold in one of the most commercially and socially vital segments of the economy.

The Embedded Finance Advantage

Embedded finance offers a pathway to close these gaps. By connecting banking systems directly into SMB workflows - accounting, payments, payroll and commerce platforms - banks gain access to live, contextual data. This data foundation allows banks to move from reactive to predictive services - anticipating needs before SMBs even raise them. 

While these integrations are already helping automate key workflows, their true potential lies beyond current use. By bringing together data from multiple sources, banks can gain a richer understanding of SMB cash flow, performance and behaviour. This deeper visibility can power smarter credit assessments, more accurate forecasting, scenario planning and timely advisory support - strengthening both trust and revenue opportunities. 

However, the reality is that execution is complex. Legacy cores, data silos, and compliance requirements mean integrations can’t happen overnight. That’s why modular, partnership-driven innovation is so powerful; it allows banks to modernise in a less risky, incremental way. With the right data orchestration layer, they can begin closing the SMB service gap today, building toward full interoperability over time.

From Transactions to Trusted Partnerships

Banks can leverage these insights in three practical ways:

1. Streamline onboarding through connected systems. Many institutions have begun digitising parts of their onboarding journey, but the next step is integration, connecting identity, credit and document workflows across systems and partners. Doing so creates a more cohesive experience for SMBs and reduces duplication and delay internally.

2. Personalise at scale: strengthen relationship management with data-driven insight. Providing relationship managers with access to timely, actionable data helps them anticipate client needs and engage more strategically. By embedding predictive analytics and contextual alerts into their everyday tools, banks can turn relationship teams into proactive advisors rather than reactive problem-solvers.

3. Deliver continuous value through integrated insights. Embedding forecasting, scenario planning, benchmarking and compliance tools into SMB platforms allows banks to remain present in a business’s daily decisions. Over time, these insights deepen engagement and open opportunities for more tailored, higher-value support - a capability that will only grow in importance to customers in the years ahead.

This transition isn’t just about new technology. It’s about rebuilding trust. SMBs want partners who combine human empathy with data-driven intelligence - banks that are transparent, responsive and proactive.

The Opportunity Ahead

By closing the structural gaps and embedding themselves into SMB ecosystems, banks can reposition from transactional lenders to integrated financial partners, capturing both loyalty and long-term profitability.

The opportunity is clear:

• AI and embedded finance give banks richer insight into SMB performance.
• Advisory-led engagement transforms those insights into trust and revenue.
• Governance and explainability ensure that innovation remains responsible and credible.

The institutions that act now will not only regain ground - they’ll redefine what modern SMB banking looks like, not only meeting SMB expectations but also unlocking new, sustainable revenue models in the process.

Want to Learn More?

For access to the full report or to discuss how your institution can strengthen SMB engagement through data-driven strategy, please get in touch at info@cloudfo.co.

As an advisor, you know the power of scenario planning.

But let’s be honest: most clients aren’t doing it.

• On average, creating a budget and forecast takes nearly 100 days.
• Scenario planning often drags on for months, and that’s for enterprises with resources.
• SMEs? They either skip it or settle for a one-off “best case vs worst case” model.

The result? Many businesses are flying blind. And you’re stuck explaining after the fact.

Scenario Planning = Strategic Advisory

From hindsight to foresight; help clients plan, pivot, and grow with clarity.

Here’s the thing: clients don’t just need another report about last quarter. They need a partner who can help them answer questions like:

• “If I raise prices by 10%, what happens to my runway?”
• “What if that August contract slips into September?”
• “Can I afford to hire now, or do I wait?”

But only 9% of businesses say they’re very confident in their ability to forecast demand. That leaves over 90% of your clients in the dark.

When you can model scenarios instantly, you stop being a historian and become a navigator.

How CloudFO Makes Scenario Planning Scalable

Most clients don’t plan for the future because they can’t see it. Help them make smarter moves with live scenario planning.

CloudFO turns scenario planning into a service you can deliver at scale across your client base:

• Automatic baseline forecasts give every client a starting point, no spreadsheets or manual setup required.
• Natural language inputs let you update forecasts or test “what if” scenarios without building models from scratch.
• Scenarios update in seconds, letting you explore multiple outcomes in a single client meeting.
• Live, connected data eliminates stale spreadsheets and manual follow-ups.

The result? You can provide real-time advisory helping clients plan, test decisions, and act confidently, rather than just delivering compliance reports.

Why This Matters for Advisors

Your clients are under pressure:

• 57% are already struggling with cash flow.
• 51% say poor financial or resource management is blocking their growth.
• 63% struggle to forecast beyond six months
• 42% of FP&A teams rate their forecasts as ‘great’ or ‘good’, and over 80% of companies have missed revenue forecasts

When you help clients see ahead, you don’t just deliver numbers, you deliver confidence.

And that’s what keeps clients close, year after year.

If the last few years have taught business owners anything, it’s this: the world won’t sit still.

Markets shift. Supply chains wobble. Customer behaviour changes overnight.

The only thing you can count on is uncertainty.

And yet most Businesses still stick to static forecasts.

At best? A simple best-case / worst-case model that took weeks to build and is outdated as soon as it’s finished.

It’s no wonder so many small teams give up on scenario planning. After all, the average business takes 77 days to set a budget and another 20 days for a forecast. By the time it’s ready, the world has already moved on.

Why Scenario Planning Matters

Running a business is all about decisions:

• Do I hire that marketing manager now, or wait 3 months?
• Should I cut my lowest-performing product line and sell through stock at 20% off?
• What if I change my fulfilment provider?

Every one of these decisions has a cash impact.

But here’s the reality:

• 22% of SMEs don’t forecast at all and another 6% aren’t sure how to.
  
• Various reports suggest 9-25% of SMEs use a software-based finance system, and just 22% track KPIs regularly.
  
• Meanwhile, 47% of UK SMEs already face cash flow pressure, and 57% expect costs to rise in the next quarter.

Without live forecasting and scenarios, you’re not running with a plan. You’re winging it.

Scenario Forecasting on the Fly with CloudFO

This is where CloudFO changes the game. You always have a baseline cash flow forecast generated automatically; no spreadsheets, no manual updates.

AND- you can update your forecast in plain English:

• “Show me my forecast if I hire a new marketing manager.”
  
• “Show me the impact of delisting my worst-performing product, selling through stock at 20% off.”

In seconds, CloudFO generates the alternative scenario forecast, explains it in plain language, and lets you compare multiple scenarios side by side. No broken formulas. No endless tweaking.

Why This Matters

When you can forecast in real time:

✅ You make faster, more confident decisions.

✅ You turn uncertainty into manageable “what if” plans.

✅ You compare scenarios easily and see the impact of each choice.

✅ You stop reacting and start steering your business proactively.

The bottom line? Businesses that forecast regularly are 2x more likely to grow.

With CloudFO, your baseline forecast is generated automatically, and scenario updates happen in minutes, not 12-day or 3-month cycles. You can explore different outcomes, make decisions with confidence, and run your business with a clear vision.

Businesses that forecast & review their forecasts regularly are 2× more likely to grow and foresee the bumps ahead.

So why are so many companies still winging it?

If you’re running a business with a lean team and are responsible for the growth and the numbers, you already wear more hats than you’d like. You’ve got sales to drive, customers to keep happy, and a growing to-do list.

And somewhere on that list? “Update the cash flow forecast.”

But it’s manual. It’s fiddly. It takes time you don’t have. You’re switching between bank logins, invoices, spreadsheets, and accounting tools... One broken formula later and you’re back to checking your bank balance and crossing your fingers.

Here’s the problem:

💥 The Forecasting Problem, By the Numbers:

📉 82% of business failures are cash-related

📉 22% of UK SMEs don’t forecast at all

📉 81% say cash flow has blocked their growth

📉 Even when they do forecast, it takes an average of 12 days,  often too late to act

📈 Manual forecasts are complex, error-prone but businesses with accurate sales forecasts are:  

 - 10% more likely to grow revenue   

- 7.3% more likely to hit their sales quotas

Currently, it's not just inefficient. It’s risky.

And it’s holding your business back from its next big move.

The Best Operators Use Forecasting to Go Faster

When forecasting works, it’s not just about avoiding disaster.

It’s about making better moves, faster.

✅ You know how long your runway really is

✅ You see what’s draining cash  and where it’s working

✅ You make decisions based on what’s ahead, not just what’s in the bank

Smart businesses use forecasts to test their next big decision before it costs them.

New hire? New price? New spend?

Run the scenario. See the outcome. Decide with confidence.

And yes, they sleep better too.

We built CloudFO Forecasts because we lived through this pain.

The “copy last month’s spreadsheet” pain. The “I think this number’s right?” pain.

CloudFO gives business teams enterprise-level forecasting, without the manual headache.

📊 Always-on forecasts - Connected live to your bank, sales and spend data. No copy-paste. Just automatic, up-to-date insights. (No really, you don’t have to do anything.)

🧠 Clear explanations - We don’t just show numbers — we tell you why cash is moving, what assumptions are baked in, and what to keep an eye on.

🧪 Scenario-ready - Test decisions before you make them. Price changes, hiring, fundraising, simulated and stress-tested.

📅 A weekly ritual for smarter decisions - Every week, CloudFO guides you through a business review, aligning company performance with forecast updates, so you can respond early, act fast, and stay focused on growth.

💼 It’s like having a virtual CFO, one that shows up, speaks clearly, and actually stays up to date.

🧾 No spreadsheet required. (But yes, you can still export to CSV if you insist. 😄)

Lead your business with eyes open.

👉 Ready to see what a real forecast looks like?

Try CloudFO Forecasts and make your next move with confidence.

When we launched the first version of CloudFO’s Weekly Business Review (WBR), the goal was simple:
Give Business leaders the clarity of a Monday meeting in under 10 minutes, so they can focus on running their business.

What we didn’t expect was how much it would feel like running a real meeting, with all the nuance, detours, and unpredictable questions that come with it.

v1: Accurate, but rigid
In v1, we structured the WBR using multiple dedicated models and scripted functions attached to each agent. This gave us strong control over accuracy, which is critical because every insight needed to match the numbers on the dashboard.

No hallucinations allowed.
And it worked: the WBR was reliable, structured, and safe.
But it was also... stiff and quite dry to be honest.
It could answer “What happened?”
But struggled with “So what?” or “What if?”
It didn’t know when to go deeper, or when to pull back. It didn’t flow.
Just like in a real-life meeting, you can’t control what people will ask or where the conversation will go.
Sometimes it’s a tangent worth exploring.
Sometimes you need to get back on track.
WBR v1 couldn’t read that room (so I guess not that dissimilar to some people you may have worked with before).

But even in v1 one thing worked beautifully:
💬 It summarised the discussion and sent a report straight to your inbox.

v2: More like a real conversation
In v2, we have multiple specialist AI agents working together, much like a real team.
Now, if you veer off the agenda?
CloudFO can follow, dig into your churn, your margins, your channel performance, then gently steer things back.
It’s not just accurate. It’s more fluent.
It knows when to explore.
When to refocus.
And most importantly, it still sends that summary, in plain language, straight to your inbox when the review is done.
It’s starting to feel less like software and more like a trusted co-worker.

We previously discussed the benefit of reviewing KPIs and business performance weekly, but we also now have the flexibility of doing the review over different cadences and periods.

What’s next?

We’re currently testing voice interactions, making the WBR feel even more like a real conversation.
Because sometimes the best interface… is just speaking your mind.
Also, what happens if a user skips the meeting? How can we still keep them up to speed
Our goal hasn’t changed:
Clarity, without complexity.
A meeting you look forward to appearing in your inbox.

In today's fast-paced business environment, staying aligned with your company's goals and performance metrics is crucial. One effective method organisations employ is the Weekly Business Review (WBR). This structured meeting ensures teams are on the same page, challenges are addressed promptly, and strategies are adjusted in real-time.

What is a Weekly Business Review?

A Weekly Business Review is a regular meeting where key stakeholders come together to:

• Review Key Performance Indicators (KPIs): Assess metrics like revenue/sales figures, costs, customer retention rates, and operational efficiency.
  
• Discuss Challenges: Identify obstacles that may hinder progress and brainstorm solutions.
  
• Align on Goals: Ensure all departments are working towards the same objectives.
  
• Plan Ahead: Set targets and strategies for the upcoming week.

These meetings typically involve department heads, team leads, and executives, fostering cross-functional collaboration and accountability.

The Traditional Approach: Preparation and Challenges

While WBRs are invaluable, they often come with challenges:

• Time-Consuming Preparation: Gathering data from various sources like CRM systems, financial software, and spreadsheets can be labour-intensive.
  
• Data Overload: Without proper tools, teams may struggle to extract actionable insights from vast amounts of data.
  
• Inconsistent Metrics: Different departments might use varying metrics, leading to misalignment.
  
• Delayed Decision-Making: Manual data compilation can result in outdated information, hindering timely decisions.
  
• Lack of Narrative and Diagnosis: Raw data lacks context. Interpreting what the numbers mean and diagnosing underlying issues requires expertise and time, which many SMEs may not have readily available.
  

According to a survey by ZS, while 79% of companies design and implement KPIs annually, only 22% revisit them quarterly. This infrequent review can lead to missed opportunities and delayed responses to market changes.

The Benefits of Regular WBRs

Despite the challenges, consistent WBRs offer numerous advantages:

• Enhanced Transparency: Regular reviews promote open communication and trust among teams.
  
• Proactive Problem-Solving: Early identification of issues allows for timely interventions.
  
• Improved Performance: Continuous monitoring ensures teams stay aligned with goals, driving better results.
  
• Agility: Frequent reviews enable organisations to adapt quickly to market shifts and internal changes.
  
• Strategic Alignment: Regular discussions help ensure that all departments are aligned with the company's overarching strategy.

Julie Zhuo emphasises that weekly metrics reviews foster a shared understanding of a team's progress, ensuring everyone is aligned and informed.

Introducing CloudFO: Revolutionising Weekly Business Reviews

Recognising the challenges SMEs face with traditional WBRs, CloudFO offers a solution tailored to modern business needs. Every Monday CloudFO schedules a WBR with you if takes you through everything you need to know, company updates, revenue, channel performances, customer  insights and buying behaviour, expenses, profit and helps you set goals for the following week- which it holds you to account for 

Key Features:

• Automated Data Aggregation: CloudFO seamlessly integrates with your existing systems, consolidating data into a unified dashboard.
  
• Proactive Insights: Instead of waiting for questions, CloudFO identifies trends, anomalies, and opportunities, presenting them proactively.
  
• Simplified Reporting: Receive concise, jargon-free summaries highlighting essential metrics and actionable insights.
  
• Goal Tracking: Set weekly objectives and monitor progress effortlessly, ensuring accountability and focus.
  
• Narrative and Diagnosis: CloudFO doesn't just present data; it tells the story behind the numbers, providing context and diagnosing potential issues before they escalate.

By transforming the traditional WBR into an automated, insightful experience, CloudFO empowers SMEs to make informed decisions swiftly, without the usual overhead.

Conclusion

Weekly Business Reviews are pivotal for organisational success, offering clarity, alignment, and agility. While traditional methods pose challenges, solutions like CloudFO streamline the process, turning data into actionable strategies. Embracing such tools ensures your business remains proactive, informed, and competitive in today's dynamic landscape

From rigid scripts to proactive conversations. The story behind our latest CloudFO release.

Before CloudFO was a company, it was a side project.

But from the start, we knew we weren’t building a chatbot. We were building something that felt like a colleague, a conversational interface that could guide, respond, explain, and think with you.

Back then, generative AI wasn’t widely accessible. So we went the long way around.

We built decision trees. Mapped out rigid conversation flows. Wrote scripts to try to cover every question a user might ask.

It was complex, brittle, and a nightmare to maintain. The experience felt more like a form with a friendly face than a real conversation.

Then came generative AI, a new way forward and a new set of challenges

Large language models made conversations feel more natural. But they brought their own problems:

• ❌ Responses were unpredictable
• ❌ Financial calculations couldn’t be trusted
• ❌ Ad hoc reasoning slowed performance
• ❌ Taming outputs required prompt engineering, fine-tuning, and RAG

We didn’t trust most Gen-AI models to handle financial logic, especially with hallucinations so common. So we blended generative output with deterministic machine learning, the kind our team had built in finance and banking for decades, to ensure answers stayed grounded and more accurate.

We added code generation for dynamic calculations, but it created latency. As the space evolved, we layered in custom tools and a lightweight knowledge retrieval system (RAG) to give models better context and keep answers relevant.

That got us to our early versions,  with charts, summaries and a searchable knowledge base we kept updated manually.

But it still felt like a chatbot. Not a colleague.

What it feels like to talk to CloudFO now

Our latest release goes far beyond static Q&A.

When users interact with CloudFO today, they get:

• 🧠 Proactive suggestions: It suggests key things you should know about.
• 📊 More dynamic charts and graphs: Presented in ways that suit how you think
• 💬 A more conversational tone: More natural, less robotic
• 🕘 Persistent chat history: So you can pick up right where you left off
• 🧭 Contextual guidance: It doesn’t just show dashboards; it explains them
• 🌐 Awareness: It understands your company data, knows your role, references prior interactions, and can search the internet when needed

It’s the difference between looking at numbers and actually understanding what they mean in plain language, at speed.

Under the hood: what’s changed

Our tech stack has matured.

We now use knowledge graphs to help CloudFO understand relationships and patterns between business drivers, not just return values from a table.

That unlocks more exploratory, strategic questions:

• “Why are repeat purchases up?”
• “What’s driving churn?”
• “What are the most important things I should be paying attention to right now?”

CloudFO can even search the web when its own knowledge and memory don’t have the answer.

We also introduced a model-context protocol (MCP) server to coordinate tasks across a growing set of tools and AI agents:

🔍 Data Agents

Connect to finance, commerce, and banking systems to generate live diagnostics from cash flow to operational health.

📈 Finance Agents

Produce real-time metrics and plain-English weekly summaries. Think: Your finance meeting is already written.

🧭 Strategy Agents

Simulate scenarios (such as pricing changes, hiring, or market entry) and generate structured outputs, reports, and next steps.

It’s not just a generative layer. It’s a hybrid brain.

There’s a lot of noise around “agentic AI” right now and while the hype is real, so is the opportunity.

We’re finding the most value by combining generative agentic AI with the traditional machine learning we know works. Also incorporated elements of recommendation systems to make CloudFO more proactive, contextual and helpful.

Think of the conversation with CloudFO like working with a great teammate:

Sometimes you ask the question. Sometimes they bring it up before you even notice it.

Why we've built it this way

We learnt a lot watching early users.

If they didn’t know what to ask, they didn’t ask. And if they didn’t ask, they didn’t get value.

That’s when we stopped treating chat as just a support layer and started designing it to drive the discussion.

What’s next

A conversation with CloudFO, as described in this post, is like the ad hoc chats you’d have with a helpful teammate. Someone who can look over your shoulder, explain what your dashboard is telling you and flag things you might have missed.

But sometimes, you need to go deeper.

In upcoming posts, we’ll show how CloudFO:

• Runs your weekly business review meeting -  explaining what’s changed, what’s working, what’s not, and why. Then summarising everything into a clear, plain-English report delivered straight to your inbox
• Leads strategic deep dives - helping you work through key decisions like pricing changes, hiring plans, or new market opportunities, with full context and clarity

We will discuss how CloudFO supports structured meetings and planning sessions from forecasting to goal tracking to modelling decision scenarios, led by an AI colleague who understands your business and helps you move faster, with more confidence

Follow along for updates. We’re not just building dashboards and chatbots. We’re building better decisions through conversation.

 Backed by intelligence. Designed for action.

Why we’re building an AI colleague, and not a chatbot or copilot. A digital Coworker that guides, explains, and adapts instead of just answering prompts.

Chatbots promised convenience. Most delivered frustration.

We’ve all been there. It’s Sunday. Your parcel hasn’t arrived. You’re stuck in a loop with a bot that insists it was delivered, you go through endless cycles of the same response to try and resolve, then it just sends you back to the FAQ page.

No answers. No accountability. And definitely no intelligence.

Even more “advanced” tools AI copilots, smart assistants, and chat-based analytics often miss the mark. To get the full value, they expect you to know what to ask.

That’s not intelligence either. 

A whole new job title; the prompt engineer was created just to extract value from these systems. That says everything.

Your expensive business AI chatbot project failed. Here’s why.

Your “let’s add a chatbot” project didn’t fail because the technology was bad. It failed because it was passive.

Chatbots sit there, waiting for you to type the perfect question. But often, we don’t know what to ask.

If you're a business owner, operator, or manager, you're often drowning in data, but actually understanding what story it's telling requires:

• The right tech stack
• The right integrations
• The right dashboards
• And the right analytical skills to interpret it all

Sure, a chatbot can be useful if you ask things like:

“What’s my burn rate?” “Are my margins down this month?”

But what about the problems you haven’t noticed yet?

Most dashboards and chatbots might give you this:

📊 [Chart of your margin] 🤖 "Here’s your margin: 41%."

Thanks. But what does that mean? Is that good? Bad? Is it trending? What changed?

That’s not helpful;  that’s just a much more expensive search.

We’re not building a chatbot. We’re building an AI colleague.

Imagine logging in on Monday morning and CloudFO says:

“Hey Paula, sales dropped 9% in Region West last week. That’s your largest segment. I’ve already explored the details. Want to dig in together?”

Or:

“Urban scooter sales rose 12% in April. Your ad spend stayed flat, but I noticed most of the growth came from new customers. Want to double down?”

...This is more than just a prompt box. 

CloudFO behaves like a real teammate:

• Spots trends
• Flags risks and opportunities
• Helps you zoom in or out
• Explains what’s going on, not just what the numbers are

That kind of intelligence starts with data, but it doesn’t stop there.

CloudFO knows when you’re asking a factual question versus an analytical one and responds accordingly. It pulls from your company data sources, its trained knowledge, runs calculations, and can even search the web to fill in gaps.

Here’s the difference:

❓ “What is cash runway?”

❓ “What is my burn rate?”

❓ “What’s the current VAT rate in the UK?”

Why proactivity matters

The value of insight is lost if you don’t know what to ask.

A typical chatbot says: “Ask me anything.” An AI colleague says: “Ask me anything… and here’s what you might have missed.”

This shift is everything, especially for smaller businesses without analysts or data teams.

The insight gap isn’t just technical. It’s cognitive.

If you don’t know that a dip in gross margin was driven by lower average order value or what to compare it against, you’re not just uninformed. You’re at risk.

CloudFO helps you think, not just search.

Accuracy where it matters. Flexibility where it counts.

Let’s be clear: the numbers have to be right.

That’s why CloudFO’s architecture is built to be deterministic and verifiable when calculating anything financial. So we can increase accuracy.

But numbers only matter if you can understand and act on them. That’s where generative AI shines, explaining, not just calculating.

• It doesn’t just show a graph, it explains how and why Q2 dipped.
• It doesn’t just calculate average order value, it shows why it changed and can suggest ways to improve it.
• It doesn’t just say “You’re profitable”, it explains how you got there and what’s driving it.

You can ask and/or it can suggest follow-up questions like:

• “Explain this like I’m new to finance.”
• “What has changed since last week?”
• “What's driving this increase in expenses?”
  
  CloudFO adjusts just like a real person would.

It remembers. It understands. It respects boundaries.

A good teammate doesn’t just answer your questions. They remember what you care about. They know how to keep sensitive information private.

CloudFO does the same.

It:

• Understands your role and permissions e.g. some staff shouldn’t  see board-level financials
• Keeps memory of past interactions, priorities and context
• Pulls in external context from the web to enrich its answers
• Understands your business model, industry, and customers, not just your metrics

Privacy and security are built in from the start. Like a trusted colleague, CloudFO knows what should be shared, when and with whom and what should stay confidential.

This is hard. But it's becoming more possible now.

Building CloudFO means tackling complex, nuanced problems:

• Balancing AI creativity with financial precision
• Making it helpful without being overwhelming
• Giving it personality, making it engaging while keeping it professional
• Designing a natural, intuitive experience that feels collaborative, not robotic

Until recently, this wasn't even possible. But thanks to advances in:

• Agentic AI
• Graph data models
• Model-Context Protocols (MCP)
• Memory frameworks and fine-tuned language models

…it’s now more possible than ever to build an AI that feels more like a colleague than a tool.

Not a passive interface. A proactive, intelligent, secure, and explainable teammate.

The Vision: A Better Teammate, Not Just a Better Dashboard

Our goal isn't just access to data, it's understanding.

CloudFO doesn’t wait for perfect prompts. It surfaces insights, suggests actions, and explains what’s going on before you even know there’s something to ask. Help you act and make decisions.

It’s built to:

• Explain, guide, and predict
• Test the impact of decisions
• Enhance dashboards with conversational explanations
• Adapt based on usage patterns over time
• Respect roles, privacy, and business context, like a real colleague would

Especially for businesses without Business Intelligence (BI) teams, data science stack, or unlimited finance experts.

Most tools show data. Some surface insights. Very few help you understand what to do next.

That’s the gap we’re closing.

Running a business is a constant decision-making process. Some choices are small like adjusting a social media posting schedule. While others carry significant weight, such as changing your pricing, discontinuing a product, or making a major investment. Over time, the pressure to make the right decision, again and again, can take a serious toll both mentally and financially.

Unlike larger companies with specialised teams, small business owners often bear the full weight of decision-making alone. This leads to stress, second-guessing, and even burnout, which can directly impact business performance.

The Mental Load of Business Decisions

🧠 Decision Fatigue: The more choices you make in a day, the harder it becomes to make thoughtful, strategic ones. By the end of the day, even simple choices feel overwhelming.

🚦 Fear of Getting It Wrong: Many business owners hesitate to make big decisions out of fear of failure but waiting too long can cost just as much as making the wrong move.

💡 The Pressure to “Always Get It Right”: Every business has wins and losses, yet many entrepreneurs feel that one wrong decision will sink everything. This mindset creates unnecessary stress and delays progress.

👥 The Weight of Others' Expectations: Whether it’s customers, team members, or investors, there’s always someone with an opinion on how you should run your business. The pressure to please everyone can cloud your judgment.

🔄 The Never-Ending To-Do List: Running a business means wearing multiple hats CEO, marketer, accountant, customer service rep. When every task requires a decision, mental exhaustion creeps in.

The Financial Impact of Decision-Making Stress

Beyond mental well-being, decision fatigue has real financial consequences for small businesses:

❌ Delaying Change Costs Money – Whether it’s keeping unprofitable SKUs, avoiding necessary price increases, or postponing an important investment, hesitation leads to lost revenue and higher costs.

❌ Emotional Reactions – Without data-backed decisions, it’s easy to overspend on marketing, inventory, or unnecessary tools, hoping for a quick fix.

❌ Inaction Becomes Expensive – Sometimes the worst decision is no decision at all. Holding on to slow-moving inventory, underperforming or toxic staff, or outdated processes eats into profits.

How to Lighten the Decision-Making Load

✅ Prioritise High-Impact Decisions – Not every decision deserves the same level of analysis. Focus your mental energy on what truly moves the needle. Let go of the minor details.

✅ Set Decision-Making Rules – Establish clear profitability thresholds, inventory limits, and performance benchmarks so you don’t second-guess every move.

✅ Automate & Delegate Where Possible – Financial tracking tools like CloudFO can automate analysis so you don’t have to manually analyse data to make informed decisions.

✅ Give Yourself a Deadline – Set a clear timeframe to research, review data, and commit to a choice. Overthinking keeps you stuck.

Final Thoughts: Making Decisions with Clarity, Not Stress

The best business owners aren’t the ones who never make mistakes; they're the ones who make informed decisions, learn from them, and move forward.

By using data to remove uncertainty, prioritising key choices, and setting boundaries on decision-making stress, you can protect both your mental well-being and your business’s financial health.

💡 Need to offload financial decision stress? Let CloudFO track the numbers so you can focus on running your business with confidence. Ask CloudFO for insights on your biggest financial decisions today!

In Part 1, we explored how adding or removing a product SKU can impact your bottom line – affecting everything from inventory costs and fulfilment efficiency to customer experience and marketing strategy. But how do you ensure you’re making the right decision?

The answer is data.

Rather than making SKU decisions based purely on instinct or one-off customer requests, businesses should use real metrics to:

• Validate new product opportunities before launching
• Identify underperforming SKUs that should be discontinued
• Avoid tying up cash flow in inventory that doesn’t sell
• Optimise the product mix for profitability and efficiency

Step 1: Tracking the Right Data for SKU Decisions

Before Adding a New SKU, Ask:

• Is there existing demand? Check customer reviews, survey feedback, and competitor offerings.
• What is the projected profit margin? Calculate cost per unit, selling price, and expected demand.
• Can current fulfilment processes handle it? Evaluate storage space, shipping, and supplier reliability.
• Will it impact other products? Avoid cannibalisation – i.e. you may not want to launch a new product that takes sales away from a more profitable SKU.

Key Metrics to Track Before Launching a New SKU:

Before Removing a SKU, Ask:

• Is the product consistently underperforming? Compare sales trends over time. CloudFO can show and explain the seasonality impact on your sales.
• Does it have a high return or complaint rate? Look at the refund and customer support data. Refunds are automatically tracked in CloudFO when you connect your commerce stores – Amazon, Shopify and Stripe.
• Is it tying up too much inventory costs? Evaluate inventory turnover and holding costs.
• Would its removal negatively impact customer loyalty? Are customers emotionally attached to it? What are they saying about this product online and in reviews?
• Is there a particular sales channel where it underperforms? Some products may sell well on one platform but not another. CloudFO can help compare SKU sales performance across multiple sales channels.

Key Metrics to Track Before Removing an SKU:

By tracking these numbers, you can make SKU decisions with confidence, rather than guessing what might work.

Step 2: Testing a New SKU Before a Full Launch

Instead of jumping into full production, consider testing the SKU first to reduce risk.

Ways to Validate a New Product Before Scaling:

• Limited Pre-Orders: Gauge demand before production by allowing customers to reserve the product.
• Small-Batch Release: Order a small quantity and monitor sales performance before committing to a larger stock order.
• A/B Testing on Your Website: List the product online and track clicks, add-to-cart rates, and conversion rates before investing in inventory.
• Run a Waitlist or Survey: See how many people express interest before committing.

Pro Tip: Check how the new SKU affects your average order value (AOV) – if customers buy more overall with the new product, it may be a strong addition. Average order value is automatically tracked in CloudFO – ask CloudFO to forecast how it could change if you add this new product.

Step 3: Knowing When to Cut a Product

Discontinuing a product SKU isn’t just about slow sales – it’s about overall business health. Even products that sell decently can be hurting your profitability if they’re too costly to store, return rates are high, or they require disproportionate marketing spend.

Signs It’s Time to Remove a SKU:

• Low Profit Margins – Even if sales are decent, a product that barely breaks even is a drain on resources.
• High Storage & Fulfilment Costs – If a SKU requires specialised storage, oversized shipping, or extra labour, it may not be worth keeping.
• Rising Return or Complaint Rates – A product that generates too many customer issues, refunds, or bad reviews can damage your brand.
• Low Sales Volume Over Time – If a product’s sales are declining despite promotions and optimisations, it’s likely past its prime.

How to Measure If a Product Should Be Discontinued:

• Check units sold per month vs. storage & marketing costs
• Compare return rates vs. your best-performing products
• Look at how much capital is tied up in slow-moving stock

By removing underperforming SKUs, businesses can reduce costs, improve efficiency, and free up cash flow for better opportunities. Check if you have an emotional attachment to this product that is impacting your decision-making?

Final Thoughts: Smart SKU Management = Higher Profitability

Making SKU decisions based on data and not emotions ensures you’re growing your product range in a way that’s sustainable, profitable, and aligned with customer demand.

Key Takeaways:

• Before adding a product, test demand through pre-orders, small-batch releases, or surveys.
• Track costs, return rates, and margins to decide when to remove a product.
• Use sales data to focus marketing on your best-performing SKUs.
• Reducing unnecessary SKUs can lower storage costs and improve operational efficiency.

Tracking SKU sales, costs, and returns can help you identify which products to grow and which to cut. Tools like CloudFO automatically categorise these metrics, making it easier to see what’s working and what’s hurting your bottom line.