The Financial Conduct Authority's October warning about generic AI platforms giving financial advice sounds like it is aimed at offshore chatbots and consumer-facing apps. Read the detail and it is a direct indictment of UK regulated firms themselves. The FCA found that many have 'retrofitted governance after technology deployment' or failed to adapt monitoring as systems change. In other words: they built the AI system first and asked compliance questions later. This matters because every regulated firm in legal, insurance, financial services and accountancy now faces intensified FCA, SRA, ICO and PRA scrutiny on exactly this point. The Consumer Duty (PS22/9) does not give you a grace period for governance debt.

This is the pattern we are watching across the industry. Firms rushed to deploy AI—often using off-the-shelf enterprise tools from vendors like Microsoft Copilot or open-source models—without mapping how those systems would interact with regulated advice, decision-making, or client data flows. They treated AI as a productivity layer, not as a governance layer. Now regulators are asking: where is your monitoring? Where is your model card? Where is your data lineage? Who is accountable if the system fails? The gap between deployment speed and governance maturity has become the single biggest regulatory risk in financial services and legal tech right now. The EU AI Act, which the UK is tracking, will make this worse before it gets better.

Here is what Trovix sees differently: governance must be built into AI systems at design time, not bolted on afterwards. That means knowing exactly what data flows through your AI, what it is allowed to do, why it made a decision, and how you would explain it to the FCA. Many vendors—including some of the big enterprise AI platforms—treat governance as a checkbox: compliance documentation, an audit trail, a risk register. They do not treat it as integral to how the system actually works. Trovix Aria is built on retrieval-augmented generation (RAG) precisely because it creates an auditable chain between the question asked, the source material retrieved, and the answer given. Trovix Sift forces you to define your data model before extraction happens, not after. Trovix Watch monitors regulatory change so your governance framework adapts as rules shift. The alternative—deploying Harvey, Legora, Luminance or generic LLMs without that governance spine—is what the FCA just warned you against.

If you are a mid-market law firm, insurer, financial services firm or accountancy practice, the time to act is now. Audit what AI is currently running in your environment. Get a list. Check: do you have a model risk management framework that covers each one? Can you explain to the FCA why that system is safe to use with regulated advice or client data? If the answer is no, stop using it until you can. Do not retrofit governance. Build a deployment framework where AI systems come with documented governance, clear accountability, and real-time monitoring from day one. The FCA will expect this at your next visit. Your competitors who got this wrong in 2024 and 2025 are about to face enforcement action. Do not join them.

Source: City AM