Red Hat's survey of 500 UK IT decision-makers exposes a dangerous split: 87% have deployed agentic AI systems, but only 25% have governance frameworks strong enough to matter. Worse, 52% cannot account for where their data is stored or processed. For law firms, insurers, financial services and accountancy practices, this is not an abstract problem. It is a direct threat to your SRA Code compliance, FCA Consumer Duty PS22/9 obligations, PRA SS1/23 expectations and ICO UK GDPR accountability. When the FCA audits your AI use, when the SRA reviews your risk management, when the ICO investigates a data handling incident—they will ask you to prove you control your systems. Half of you cannot answer that question right now.

This gap reflects a pattern the industry has been ignoring for two years. Product vendors sold agentic AI—Harvey, Luminance, Microsoft Copilot and others—as efficiency plays. Deploy them, improve throughput, reduce cost per matter. But almost no vendor shipped governance tools alongside the deployment. Firms bought the accelerator without buying the brakes. The result is a sector-wide blind spot: thousands of mid-market practices running mission-critical AI systems with visibility only into whether they work, not where they operate, what they access or what liability they create. The Red Hat data proves this is not operator error. This is a product and market failure.

Trovix's view is blunt: agentic AI without governance is not agile. It is reckless. You cannot control what you cannot see. The firms we work with—and the ones we turn away because they are not ready—teach us that governance has to be built in from intake, not bolted on after deployment. That means real-time visibility of where your data flows, automated compliance checks against SRA and FCA standards, audit trails that prove control to regulators, and the ability to revoke or correct AI outputs fast. Tools like Trovix Audit exist specifically to close the visibility gap the Red Hat survey has mapped. But the real point is simpler: if you cannot answer 'where is my data and who controls the AI outputs,' you should not be running the AI yet.

If you are a partner or finance director at a mid-market firm, your action is immediate. First, run an inventory of every agentic AI tool your practice has live—Copilot, Luminance, internal chatbots, everything. Second, map where it processes data. Do not estimate. Actually trace it. Third, establish who is accountable for outputs—especially in fee-earning or advice-giving contexts. Finally, assess whether you could defend that setup to the SRA, FCA or ICO in an audit. If you cannot, you are exposed. The governance firms are installing now is not about being ahead of regulation. It is about not being caught behind it.

Source: Computer Weekly