Nikhil Rathi's warning that traditional regulatory cycles cannot keep pace with AI developments is not abstract hand-wringing from Brussels. It is a direct admission from the UK's chief financial regulator that the current model—write rule, consult, publish, implement—is broken for a technology that evolves in weeks. For mid-market law firms, insurers, wealth managers and accountancy practices already operating under FCA Consumer Duty PS22/9, PRA SS1/23, and the SRA Code, this creates an immediate problem: you cannot wait for regulation to tell you what responsible AI governance looks like. The FCA has signalled that supervisory approaches will shift toward collaborative frameworks and real-time accountability. That means firms handling financial crime, client data, and regulated decisions need AI governance architecture now, not when the final rulebook lands.

This story is symptomatic of a wider pattern. Generic, rule-based AI systems—the kind that generate responses without understanding context, regulatory nuance, or domain-specific risk—are already failing in financial services and legal practice. We have seen it with large language models deployed without guardrails into compliance workflows, producing plausible-sounding but incorrect advice on AML obligations or data protection. The EU AI Act and forthcoming UK equivalents will codify what the smart operators already know: high-risk AI applications in regulated sectors need governance that goes beyond model cards and testing logs. They need continuous monitoring, human-in-the-loop validation, audit trails, and the ability to explain decisions to regulators. Products like Harvey and Luminance have gained traction precisely because they attempt domain-specificity, but many firms are still treating AI as a general efficiency tool rather than a regulated control.

Trovix's view is that the gap between regulation and innovation is real, but it should not drive panic-buying of flashy AI that cannot explain itself. Instead, it should drive investment in AI governance infrastructure first, and capability second. Trovix Watch was built because firms cannot predict when the FCA, SRA, or ICO will shift expectations—but they can monitor signals and prepare. Trovix Audit exists because regulators will increasingly demand to see how AI decisions are made, what data flows through them, and where human judgment intervenes. This is not about compliance theatre. It is about building systems that remain defensible in a regulatory environment that is moving, and will move faster. The firms that treat AI as just another application will struggle. The firms that embed governance into their AI architecture from day one will have legitimate answers when the supervisor asks questions.

Right now, a mid-market financial services firm or law practice should do three things. First, commission an honest audit of where AI is already running in your firm—including spreadsheet macros, templated documents, and vendor systems you may not think of as 'AI'. Second, build a simple AI governance policy aligned to your existing compliance frameworks: FCA Consumer Duty, SRA Code, ICO UK GDPR. Third, identify one high-risk use case—client intake, financial crime screening, document review—and implement it with full audit trails and human review. Do not wait for regulators to define the rules. They have already told you they cannot move fast enough. The firms that move now will have competitive advantage and regulatory credibility. The firms that wait will be explaining their approach under pressure.

Source: CNBC