The Wolters Kluwer story correctly identifies the shift from basic RPA and task automation to agentic systems that can manage entire engagements independently. For mid-market UK accountancy practices, this matters enormously—not because agentic AI is the answer to every problem, but because it raises a entirely new class of compliance and control risks that current tooling does not address. The FRC's recent emphasis on assurance quality (ISA UK 330 and the Quality Management Standards) now applies to how AI conducts audit procedures, reviews working papers, and validates evidence. When an agent is orchestrating workflows across multiple systems—handling fee calculations, compliance checks, report generation—you need visibility into its reasoning chain, not just its outputs. Most firms chasing the integration story have skipped this step.

We are watching a pattern repeat itself from the last AI cycle: vendors emphasise capability and integration, firms buy the capability, and then compliance and audit teams discover six months later that they cannot explain what the AI decided or why. Tools like Harvey and Legora have done excellent work on document automation and legal reasoning, but they operate in narrower decision gates than agentic accounting workflows do. The real challenge emerging now is that agentic systems operate at the orchestration layer—they decide which tasks to run, in what order, with what data, and when to escalate to a human. That is not a technical problem. It is a governance and audit problem. The Future Ready Accountant research cited in Wolters Kluwer's piece correctly flags that 'integrated tech stacks' are essential—but only if you have already built the audit trail, the escalation logic, and the human sign-off protocols that regulators actually expect to see.

Trovix's position is simple: before you integrate, govern. We built Trovix Audit specifically because mid-market firms told us they were inheriting compliance gaps from their AI implementations. An integrated tech stack without governance is just a faster way to make a consistent error at scale. The difference between agentic AI that passes FRC inspection and agentic AI that creates audit findings is not the elegance of the integration—it is whether you can prove that a qualified professional reviewed the AI's reasoning, understood the control gaps, and signed off on the risk. Microsoft Copilot for accounting, Luminance's document workflows, and others have made this easier to do, but they have not solved the governance layer. That is the unlocked problem.

The practical step for any mid-market accountancy firm right now is to audit your current tech stack for governance gaps before you add another layer of agentic automation on top of it. Ask your CIO or tech lead: where is the audit trail for AI-assisted decisions in fee calculations, compliance assessments, or report generation? If the answer is 'we'll add that in phase two', you are already behind. The FRC, the ICO (under UK GDPR), and your insurers will expect evidence that you thought about this first. Build your governance framework now—even if it feels slower than jumping straight to integrated agentic workflows. Your audit file, your regulatory standing, and your professional indemnity insurer will thank you.

Source: Wolters Kluwer