The UK government's £200m AI adoption fund is real progress, and the fact that HSBC, BT and Rolls-Royce are sharing operational data on AI usage is a genuine shift in transparency. For mid-market law firms, insurers, financial services and accountancy practices, this matters: it signals government commitment to AI infrastructure, and it opens access to skills funding and benchmarking data that smaller firms cannot generate alone. But here is what the headline does not say. Government money for AI adoption and government money for AI governance are not the same thing. Thirty large firms committing to data sharing on AI usage does not tell a mid-market regulated business how to implement AI without breaching the FCA Consumer Duty (PS22/9), the SRA Code of Conduct for Firms, PRA SS1/23 operational resilience rules, or the ICO's GDPR enforcement expectations. Those are the problems that matter to your firm right now.

This story is part of a broader pattern: governments and large tech vendors are moving fast on AI deployment; regulators and compliance teams are moving slowly on AI governance. The BIG vendors — Microsoft with Copilot, OpenAI with custom GPTs, Anthropic with Constitutional AI — are racing to productise large language models for professional services. Some specialist legal AI products (Harvey, Legora, Luminance) have built compliance features into their offering because they saw the gap. But the default assumption in most AI adoption programmes is still that you buy a tool, you train your people, and you deploy it. That model works for a spreadsheet. It does not work for an AI system that makes decisions affecting client outcomes, data security, or regulatory reporting. The firms signing up to the government scheme are large enough to build their own governance teams. The firms that actually need the funding are not.

Trovix's point of view is this: AI governance must come before AI adoption, not after. That means before you even pilot a tool like Copilot or an LLM-based document automation system, you need three things in place: (1) a live audit trail of what the AI is doing and why, not just what it outputs; (2) a way to monitor regulatory change and map it to your AI use cases continuously, not in annual reviews; (3) a clear decision framework for which tasks can be automated, which need human sign-off, and which should never be automated. The government fund assumes skills and adoption are the bottlenecks. They are not. Governance is. We built Trovix Audit specifically because we saw mid-market firms deploying AI without an audit layer, then panicking when the FCA or SRA asked what the AI actually did on a live case. We also built Trovix Watch because monitoring FCA rules, SRA guidance, PRA SS1/23, and EU AI Act alignment manually against your AI systems is a losing game. The government scheme is good. But it will not close this gap.

What you should do right now: Do not wait for the government fund to come to your firm before you establish AI governance. Apply for the fund if you can — the skills support is valuable — but use it to accelerate governance-first deployment, not to excuse the absence of it. Start by mapping the AI systems already live in your firm (you have more than you think). Then audit what data they touch, what decisions they influence, and whether those decisions are documented for regulatory review. Only then pilot new tools. If you are a law firm, ask your AI vendor whether they can prove compliance with the SRA Handbook on conflicts, confidentiality, and competence. If you are an insurer, ask whether their model is transparent enough to meet Lloyd's Blueprint Two expectations on underwriting decisions. If you are a financial services firm or accountancy practice, ask whether the system produces an audit trail that an FCA inspector or ICAEW reviewer would accept. The government money is useful. Governance is essential.

Source: Computer Weekly