Computer Weekly's survey exposes a crisis hiding in plain sight. Eighty-seven percent of UK IT decision-makers have deployed agentic AI systems, yet only 25 per cent have strong governance frameworks in place. Worse: less than half have complete visibility of where their data is stored and processed. For a mid-market law firm bound by the SRA Code, an insurance broker subject to FCA Consumer Duty PS22/9, or a financial services firm regulated under PRA SS1/23, this is not just poor practice — it is a breach waiting for an enforcement notice. You cannot comply with UK GDPR, the EU AI Act, or your sector regulator if you do not know where your data lives or how your AI systems are making decisions that affect clients or customers.

This gap between deployment velocity and governance maturity reflects a deeper industry mistake: the belief that agentic AI — whether built on proprietary models or wrapped around foundation models like those in Microsoft Copilot — can be dropped into a business and left to run. It cannot. The systems that promised to automate away complexity (Harvey in legal, Luminance in document review, tools in financial crime detection) all deliver real value. But they only deliver compliant value when they operate inside a governance structure that knows what they are doing, why they are doing it, and who is accountable when something goes wrong. Most UK firms have skipped that step entirely. They have the AI. They do not have the frame.

Trovix's approach starts where most deployments end: with the question of what data you own, where it moves, and how it is processed. That is not sexy. It is not a headline feature. It is the unglamorous foundation that every regulated firm needs before it deploys a single agentic system. Trovix Sift exists because document intelligence without data governance is a compliance timebomb. Trovix Brief automates intake because automation that leaves no audit trail is worse than no automation at all. And Trovix Watch monitors regulatory change precisely because the rules around AI governance are moving faster than most firms can follow. The products matter. The governance infrastructure matters more.

If you are a mid-market regulated firm, here is what you do on Monday morning: one, audit which agentic AI systems are live in your business right now — all of them, not just the ones you formally approved. Two, map the data flows. Where does client data go? Where is it processed? Who owns the output? Three, establish who is accountable for each system's decisions, and whether your audit trail can prove it. Four, check whether your current governance framework (if it exists) actually covers what your AI systems are doing, or whether it assumes human decision-making throughout. If the answer is no, then you are operating outside your compliance perimeter. Fix it before your regulator does.

Source: Computer Weekly