Compliance architecture means designing controls, logging, and accountability into an AI system from the start, rather than checking boxes once it’s already built.
Compliance architecture means designing controls, logging, and accountability into an AI system from the start, rather than checking boxes once it’s already built.
A practical look at what belongs in an AI transparency framework, and why disclosure without detail is just paperwork.
A working AI lifecycle management framework tracks a system from the moment it’s chosen to the moment it’s switched off, not just the bit in between.
ISO 42001 certification proves your AI management system holds up, but the process is longer and stricter than most organisations expect.
A plain-English guide to ISO/IEC 42001, the new AI management standard, and what it actually asks organisations to do.
Supplier assurance for AI tools needs to go well beyond a vendor questionnaire, and most organisations are missing the parts that matter most.
A plain-English look at what actually separates public and private AI, and why the difference matters more than most organisations realise.
UK public sector bodies face procurement rules, FOI obligations, and transparency expectations that make AI governance a different challenge to the private sector.
Clinical teams are already using AI tools with patient data, often faster than information governance can track them.
Law firms adopting AI tools face distinct risks around client confidentiality and regulatory expectations that generic governance advice does not address.
