A Red Hat survey published in April revealed what many suspected: 87% of UK business IT decision-makers have deployed agentic AI systems, yet only 25% have strong governance frameworks in place. For regulated firms in legal, insurance, financial services and accountancy, this is not merely a technology risk—it is a regulatory one. The ICO, FCA, SRA and PRA do not view governance gaps as acceptable trade-offs for speed. Neither do auditors, or increasingly, clients. When three-quarters of your peers lack visibility over where their data is stored and processed, the question is not whether governance matters. It is whether you can afford to be among the unprepared when the first enforcement action lands.

This governance gap reflects a wider pattern in how UK regulated firms are approaching AI: buy first, govern later. The market for agentic tools—from OpenAI's o1 to Claude-powered assistants to specialist platforms like Harvey, Legora and Luminance—has created a perception that AI deployment is a speed race. In reality, the race is between firms that understand AI as infrastructure requiring compliance-first design, and firms that treat it as a feature to bolt onto existing systems. The Red Hat finding is not surprising because the conditions that produce it are structural: vendors ship without governance hooks, IT teams lack the tools to enforce policy at scale, and business units demand fast results without the audit trail needed under FRC ISA UK or PRA SS1/23. The winners will not be the fastest deployers. They will be the ones who make governance inseparable from capability.

Trovix's approach to this problem is deliberately different. Rather than treating governance as a bolt-on compliance layer, we embed it into the deployment itself. Trovix Audit is purpose-built to give regulated firms real-time visibility and control over how AI systems are used, what data they access, and how decisions are logged—the three things the Red Hat survey shows firms are currently blind to. When you deploy Trovix Sift for document intelligence or Trovix Aria for knowledge retrieval, you are not adopting a black box. You get native compliance logging, data lineage tracking, and governance dashboards that satisfy FCA Consumer Duty PS22/9, SRA standards and EU AI Act requirements from day one. This is not marketing—it is the difference between 'we use AI' and 'we know what our AI is doing and why.' Compare that to deploying Microsoft Copilot or a generic Claude instance across your firm without institutional controls. The risk profile is entirely different.

If you are a mid-market law firm, insurance firm, financial services business or accountancy practice, the immediate task is not to deploy more AI. It is to audit what you have already deployed and ask three questions: Do you have a complete inventory of every AI system in use? Can you show the ICO, FCA or your external auditors exactly where your firm data is processed and by whom? Could you answer these questions in an hour, or would it take days of manual investigation? If the answer to any of these is no, you are in the 75% that the Red Hat survey describes—and you are exposed. The solution is not to pause AI. It is to implement governance infrastructure now, while you still have the opportunity to do so under your own terms rather than an auditor's or regulator's timeline. That means choosing AI partners and tools that are designed to be transparent, and giving your governance team (not just your IT team) a seat at the table when systems go live.

Source: Computer Weekly