Ninety per cent of UK firms are deploying multi-agent AI systems without the governance to control them. The Salesforce data proves it: 81% of projects will fail without process visibility. Trovix Watch exists because compliance cannot be an afterthought.
Read more: UK firms are building agentic AI without the guardrails
Insurance firms are now funding AI infrastructure through century-old bond markets, but they lack the governance frameworks to understand the risks they are taking on. Mid-market UK regulated firms using those same AI tools are inheriting that infrastructure risk without knowing it.
Read more: Insurance's AI Debt Trap: Who Really Bears the Risk?
A University of Cambridge study reveals agentic AI adoption in financial services will jump from 24% to 81% by 2030. The uncomfortable truth: regulators and mid-market firms are nowhere near ready to govern these autonomous systems responsibly.
Read more: Agentic AI is coming. UK regulation isn't ready yet.
UK firms have deployed agentic AI at scale without building the governance to control it. The Red Hat data proves what we see in practice: compliance risk is now embedded in your AI stack.
Read more: 87% of UK firms deployed agentic AI without governance
One in four UK businesses now runs AI systems. The ones that survive regulatory scrutiny will be those that implemented governance first, tools second. Most have it backwards.
Read more: One quarter of UK firms have AI — most have no governance
The rise of AI native law firms sounds disruptive until you realise they are solving the wrong problem. The real question for mid-market UK firms is not whether to compete on AI-driven cost reduction, but whether you can trust your AI implementation to survive regulatory scrutiny.
Read more: AI Native Firms Are Not the Real Threat to Your Practice
The Insurity study is good news dressed as progress. Yes, consumer acceptance of AI in insurance has nearly doubled. But the real story is brutal: your customers still don't trust machines to decide their claims. That gap between 'nice to have' and 'trusted to decide' is where regulation, liability
Read more: Consumer trust in AI claims decisions still broken—here's why
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