The Red Hat survey published in April is not a headline. It is a warning. Eighty-seven per cent of UK IT leaders are running agentic AI systems—autonomous agents that make decisions and take actions without human intervention at every step. Fewer than one in four have built the governance structures to know what those systems are doing, where firm data is going, or how to prove compliance to regulators. For a legal practice operating under SRA standards, an accountancy firm managing client data under ICO UK GDPR expectations, or a financial services firm answerable to FCA Consumer Duty requirements, this is a critical failure point. The survey also shows less than half of respondents have complete visibility of data storage and processing. In a regulated sector, visibility is not optional. It is the foundation of accountability.

This gap exists because the AI industry has spent three years selling capability without enforcing governance. Products like Microsoft Copilot, Harvey, Legora and Luminance have delivered real productivity gains in document review, legal research and case intake. They work. But the market narrative has been 'faster, cheaper, better'—not 'auditable, compliant, transparent'. Firms adopted these tools eagerly, integrated them into workflows, trained staff to use them, and deferred the harder question: how do we actually control this? Now 75% of UK IT leaders are facing that question only after deployment. The pattern is identical to the spreadsheet crisis of the 1990s and the cloud migration rush of the 2010s. We always do this. We always pay for it later.

Trovix's view is direct: agentic AI in regulated professional services requires governance that sits outside the product layer. A single vendor's dashboard—whether it comes from Microsoft, OpenAI or anyone else—will not give you the independence you need. You cannot audit your compliance using the same system that created the risk. What you need is a dedicated governance platform that ingests activity logs, data lineage and decision records from across your AI stack, then applies regulatory logic you control. That is what Trovix Audit does. It translates FCA, SRA, ICO and PRA expectations into a working compliance framework. It does not replace vendor controls. It runs parallel to them. It answers the question regulators will ask: 'Show me that you knew what your AI was doing, that you could stop it, and that you did not breach anyone's rights in the meantime.'

If you are a mid-market professional services firm deploying agentic AI right now—or planning to in the next six months—your next action is not to choose a shinier product. It is to deploy governance first. Map your data flows. Know where client files, witness statements, financial records and personal data are being processed. Establish who owns decisions that AI makes on your behalf. Build a register of AI systems and their risk profiles. Create a monthly audit cycle. Only then expand your AI deployment. This is not bureaucracy. This is the difference between a capability that makes you faster and a compliance liability that makes you liable.

Source: Computer Weekly