The FCA just told you that retrofitting governance to AI after deployment is now a regulatory red line. Most UK firms are still doing exactly that. Here is why it fails, and what to do instead.
In-house legal teams are using AI to do more work themselves. Law firms are cutting rates in response. The real problem is that most firms have never actually governed their own AI—so they have no idea why they are losing this work.
Read more: In-house AI is not a law firm threat—it's a wake-up call
The US insurance industry has ploughed $85 billion into AI in six months. Most of it has no governance framework attached. UK regulated firms cannot make the same mistake—and your regulators are watching.
Read more: US Insurers' $85bn AI Bet Exposes a UK Governance Gap
When JPMorgan and Citi block AI agents from moving customer money, the real story isn't the threat—it's that firms deploying AI without permission boundaries shouldn't be deploying AI at all. This is what happens when governance lags deployment.
Read more: Unauthorized AI Agents Expose the Real Problem: Governance Theatre
Dext's free AI Connector sounds practical until you ask where your client data goes and who controls which model processes it. Free AI without compliance guardrails is not a feature — it is a regulatory liability dressed as innovation.
Read more: Conversational data access solves nothing without guardrails
The FCA is calling out what we've seen repeatedly in mid-market firms: AI systems deployed first, governance bolted on after. This reactive approach doesn't protect consumers and it won't satisfy regulators.
Read more: The FCA is right: retrofitted AI governance doesn't work
The FCA is right to sound the alarm: retrofitting AI governance after deployment is a compliance trap that generic LLMs have made worse. Regulated firms need AI systems built for accountability from day one, not productivity tools with compliance bolted on.
Read more: The FCA is right. Your AI governance is probably wrong.
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