The UK government announced a £200m investment in AI skills and adoption this week, channelling funds through the Bridge AI scheme and expanded university placements via Spärck AI Scholarships. On paper, it's sensible industrial policy: 30 partner companies including BT, Rolls-Royce, EDF and HSBC will co-invest, creating matched funding for British firms to upskill and deploy AI. For mid-market legal, insurance, accountancy and financial services firms, this signal matters—it says government takes AI capability seriously and will help fund the transition. But the money addresses the wrong problem. The real barrier to AI adoption in regulated sectors isn't capital or training programmes. It's the absence of clear governance frameworks, fear of regulatory backlash, and the hard cultural work of making partners and fee-earners actually trust and use AI tools without breaking their professional obligations under SRA Code, FCA Consumer Duty PS22/9, and the PRA's SS1/23 expectations on third-party risk.

This funding announcement is part of a wider pattern: governments and vendors treating AI adoption as a skills-and-tools problem, when the evidence shows it is primarily a governance and trust problem. We see this in how firms have approached large language model products like Microsoft Copilot or Harvey—initial enthusiasm followed by cautious or stalled rollouts because nobody in the firm knew whether the tool was compliant with ICO UK GDPR obligations, whether it logged work product securely, whether it exposed client data, or how to audit its output for accuracy. The Bridge AI scheme will help firms buy tooling and train staff on it. But it will not help them build the governance muscle that actually prevents a well-intentioned AI deployment from becoming a compliance liability. Government policy has a blind spot here: adoption and governance are not sequential. They must happen together.

Our view at Trovix is unambiguous. Regulated firms need to start with governance, not tools. Before you train anyone on an AI platform, you need to answer three questions: How will this tool be used in client-facing or compliance work? What decision-making or data handling does it replace, and what remains your responsibility? How will you audit its outputs and document its use in a way that survives FCA examination, SRA inspection, or ICO investigation? Tools like Trovix Audit exist precisely because firms realised too late that buying Harvey or Luminance without a corresponding compliance dashboard meant they had no visibility into what the AI was doing, who was using it, or whether it was following the firm's own risk policies. The government fund assumes that firms know how to govern AI. Most do not. Products that make governance visible and auditable—not just the AI functionality itself—are where the real investment should flow. We're not alone in this view; the EU AI Act's final text now requires any high-risk AI deployment in professional services to include human-in-the-loop review and detailed use case documentation. The Bridge AI scheme does not fund that layer.

If you lead a mid-market firm in law, insurance, accountancy or financial services, and you're eyeing this £200m programme, act on it—but only after you've done the governance work. Use the matched funding to co-invest in AI tools that include compliance features: document intelligence products like Trovix Sift that extract data cleanly and log their work, or knowledge assistants like Trovix Aria that cite their sources so you can verify them. Train your people on those tools, yes. But run a parallel work stream on governance. Map your firm's AI use cases, define your risk appetite for each one, build a policy framework that your auditors will actually sign off, and create oversight mechanisms that show you're in control. Only then spend the government's money. The firms that will win in 2027 and beyond won't be the ones that trained the most people on the most tools. They'll be the ones that trained people on tools they could prove were safe, compliant and auditable—and that knowledge cost them nothing but discipline.

Source: Computer Weekly