The AI governance gap regulated SMEs are hitting
Shadow AI
Staff use public AI tools without oversight — including with confidential or patient information.
Unclear ownership
No single accountable person for AI adoption, risk or incidents.
Supplier opacity
AI vendors used with little visibility into their data handling or model behaviour.
Missing evidence
No retrievable record of policies, DPIAs, reviews or approvals.
Policy without practice
A written policy exists — but staff don't know it and no controls operate.
Board-level fog
Leadership can't answer basic questions about AI risk from customers or auditors.
How Assurance AI works
Discover
Uncover shadow AI, use cases and suppliers already in play across your organisation.
Assess
Run our structured Risk Check to score maturity across five governance categories.
Implement
Assign owners, close priority gaps and stand up policies, evidence and human oversight.
Maintain
Keep a living AI inventory, risks, actions and evidence — ready for boards and procurement.
What good AI governance looks like
You should be able to answer a customer or auditor question about your AI use in minutes, with evidence — not weeks of email archaeology.
- A visible inventory of AI systems in use
- Clear owners and human oversight
- Prioritised risk treatment
- Evidence for boards, customers and procurement
- Repeatable review and incident processes
Healthcare-first
Built with regulated healthcare and social care in mind
Our initial focus is private healthcare, NHS-facing technology suppliers, pharmacy and adult social care groups, and health-technology companies. Assurance AI provides structured governance and evidence support. It does not replace clinical-safety, data-protection or legal specialists — engage those experts for formal assurance or advice.
Where to start
From a free scan to a managed service — prices exclude VAT and are subject to scope.