AI governance assessment
A structured diagnosis of AI use, risks, tools, data, gaps and priorities, with a costed roadmap.
Services
From a first diagnosis to an operating programme, delivered by practitioners who hold Lead Implementer and Lead Auditor credentials for ISO/IEC 27001, 27701 and 42001.
A structured diagnosis of AI use, risks, tools, data, gaps and priorities, with a costed roadmap.
Full AI management system build, from scope and policy to controls, evidence and management review.
Internal audit and readiness assessment against the standard, with findings and corrective action plan.
Role and risk classification, obligations mapping, technical documentation and deployer controls.
Use-case level risk analysis covering security, fairness, robustness, privacy and business impact.
Discovery, exposure quantification, acceptable-use policy, sanctioned gateway and monitoring.
Assessment of AI assets, models, data rights, vendor dependencies and regulatory exposure in M&A and investment.
Forensic investigation of automated decisions, with reproducible methodology and technical report.
Fractional security and data protection leadership for organisations without an in-house function.
Tailored programmes for boards, technical teams and legal, privacy and compliance functions.
An AI governance assessment. It establishes what is actually in use, where the exposure is and which obligations already apply, so the subsequent programme is scoped on evidence rather than assumption.
We use the VGrid method — Read, Prioritise, Implement, Govern, Evolve — anchored on ISO/IEC 42001 and NIST AI RMF, and adapted to the organisation's sector, maturity and regulatory exposure.
Tell us where you are and we will propose the scope that fits.
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