Chapter 1
Chapter 2
Chapter 3
Chapter 4
Introduction
Four forces are hitting accounting firms at the same time: margin, people, knowledge, and clients. None of them is new on its own. What's new is that all four are converging right now, and artificial intelligence in accounting is the accelerant behind each one.
This piece — based on a talk by Ravical CEO Joris Van Der Gucht — walks through what's happening on each front, why the usual response (build more advisory) doesn't scale on its own, and what's actually changing about the technology available to accounting firms to close that gap.
Force 1
Your margin
What's happening: Compliance is being automated, and clients know it. They no longer want to pay the same fee for work that software now handles. Price pressure is building from every direction — low-cost outsourcing, software players, platforms going direct to the client. The billable hour, as a pricing model, is disappearing.
Where it leads: Advisory is where the value sits. But advisory doesn't scale the way compliance does — every new advisory client requires a senior person who isn't available. Firms are stuck between a compliance model that's eroding and an advisory future they can't yet operationalise.
Ravical's own research backs this up: 63% of accountants believe compliance work will be marginally profitable at best within five years.
force 2
Your people
The pressure shows up differently at every level of the firm:
Juniors — the entry-level work that trained them is disappearing. Firms are hiring graduates into a role that no longer exists in the same form; the traditional training ground is gone.
Managers and experts — not scalable. Too much work, too many clients, and these are exactly the people who should be driving advisory growth but are instead the bottleneck for everything.
Partners — ageing out. Twenty to thirty years of client knowledge lives in their heads, not in the firm's systems. When they leave, that knowledge leaves with them.
This isn't unique to any one firm. 83% of finance leaders worldwide say they cannot find qualified accounting talent, and ACCA's global survey of 10,000+ professionals across 175 countries tells the same story: accounting is running out of people to do the work the old way.
force 3
Your knowledge
For decades, the classic value proposition of an accounting firm was simple: I know things you don't. The entire knowledge industry — technical interpretation of legislation, sold to firms like yours — built its business on that asymmetry. The interpretation was the product, and the asymmetry was the moat.
That moat is closing fast. AI agents can now connect directly to primary sources, interpret guidance, and apply it in the context of a specific client — at near-zero cost. The raw material behind accounting expertise was never proprietary, and it no longer stops at the accountant: clients now have access to the same interpretation their accountant does.
The business logic embedded in traditional accounting software — the hardcoded "if this situation, then this treatment" rules that were the real moat behind both the software and senior accountants' judgement — is going the same way. Modern AI models reason through that logic natively, with no rulebook required. When new legislation dropped, one Ravical customer used an AI agent to interpret the regulation, apply the business logic, and process an entire client portfolio in under two hours — work that previously took a team of specialists weeks, now needing only one expert to review and approve.
force 4
Your clients
What's happening: Client expectations are shifting fast. They have access to the same AI accounting tools their accountant does. They come to meetings prepared, and they want proactive advice, not a report on what already happened. They're no longer willing to pay hourly fees for work they know can now be done faster and cheaper.
Where it leads: Firms that still sell time will lose to firms that sell outcomes. Clients don't want a new accountant — they want more from the one they already have. The firms that can deliver proactive, scalable advisory will own the relationship; the ones that can't will lose their best clients first.
Ravical's research found that 66% of SMEs consult ChatGPT before they consult their accountant.
Some examples
Capturing every advisory signal. In a traditional firm, a client's email about an office expansion gets an admin reply and gets filed away. With AI agents monitoring client interactions, that same email becomes a flagged transfer-pricing opportunity — complete with the groundwork and a draft proposal, often before the partner's first coffee.
Scaling expertise across every office. Rather than losing a client to an outside specialist because the right expertise happens to sit in a different office, client interactions can trigger workflows that pull in the right experts firm-wide and prepare briefings automatically — keeping advisory revenue in-house instead of leaking to other providers.
A more proactive client experience. Instead of reactive, back-and-forth email threads and quarterly check-ins, clients get a shared workspace, continuous visibility into what's being worked on, and advisory opportunities that surface automatically rather than by chance.
Conclusion
How Ravical supports the shift — from signal to invoice
Ravical's platform is built around three stages: signals and triggers (client communications or system data revealing intent and evolving needs; lifecycle or external events that indicate an advisory opportunity), preparation and delivery (groundwork automated from firm-wide knowledge; the right experts identified for structured, multidisciplinary collaboration), and value billing (advisory work supported by AI agents turned into justified, ready-to-send line items).
The result is a firm that identifies opportunities with full client context, acts on them through structured and tractable cross-sell, and bills for the value delivered rather than the hours logged.
About Ravical
Ravical is an agentic AI platform — AI accounting software built specifically for accounting firms and other professional services practices that want to scale advisory without scaling headcount. As foundational compliance work such as tax filings, annual accounts, and VAT returns becomes more standardised and automated, firms run into the limits of legacy systems built primarily for compliance delivery.
Ravical's accounting workflow automation integrates AI agents directly into a firm's existing systems — monitoring client communications, financial data, and operational interactions to surface advisory opportunities and prepare the groundwork before an adviser needs to act. Partners and managers stay in control throughout, with full visibility into what the agents are doing and why.
Your margin. Your people. Your knowledge. Your clients. Four forces, all hitting at the same time, each one changing the economics of the profession.
