Vendor-agnostic. Stack-independent. Board-ready. We test your data and technical controls, and deliver the ironclad assurance your board needs.
Most of the firms a board calls for AI assurance are also paid to sell AI, build AI, or license the software that monitors it. Insight Circle is none of those things.
That's not a mission statement β it's the actual reason we exist.
Our capabilities βThis means that their commercial incentive is structurally aligned with telling you the system is fine β and structural incentives shape findings long before anyone decides to audit them.

Regulators have spent two decades asking whether an auditor can mark work it helped produce. That question didn't disappear when the subject moved from financial statements to AI models.

The people didn't change. The owner, and what the owner needs the answer to be, did.

A governance dashboard grows by embedding itself into the same hyperscalers and system integrators it's meant to hold accountable. Partners earn commissions to resell it.
Evidence-based governance isn't there to help you adopt AI faster. It's there to tell you, plainly, when you shouldn't.

Every AI strategy rests on a data foundation. From stalled pilot to production-grade, we make your data defensible, traceable, and ready for the AI you are betting on.
Most organisations build the AI first and discover the foundation was never verified. This is why decisions fail, AI stalls, and regulators find what you couldn't. We provide you an honest, transparent comparison view across your AI/Data readiness across every market.
We trace every dataset feeding a live model back to its source β and tell you, independently, whether it holds.

An opinion is only as good as what it's checked against. Ours is checked against the system itself β not the vendor's documentation, not a data transformation or governance dashboard.
We map your estate against EU AI Act, ISO/IEC 42001, NIST AI RMF and your own board policy β then show you, line by line, where the evidence is missing.
AI Diagnostic β
Two ways in. Run the AI diagnostic for a fast read on where your evidence is missing, or book a briefing with an independent AI advisor.