Practical material to help your team move from AI exposure to audit-ready governance — drawn from the frameworks regulators and boards expect.
Obligations, classification and the path to August 2026 readiness for high-risk AI systems.
Work through the obligations that apply to high-risk AI systems and check where your estate stands today.
Read →A decision guide for placing each AI system into the right risk tier, with the triggers that move it up a level.
Read →A timeline view of what comes into force and when, so you know which obligations to prepare for first.
Read →Building, evidencing and certifying an AI management system clause by clause.
A clause-by-clause walkthrough of the AI management system standard, with the evidence each control expects.
Read →A working map of the artefacts an assessor looks for, kept aligned clause by clause to keep audit prep on track.
Read →The route from first gap assessment to certification, with the stages and milestones to plan around.
Read →Mapping the framework to the controls and obligations you already run.
Map your controls across the NIST AI Risk Management Framework and the EU AI Act in a single view.
Read →A practical guide to the four RMF functions, with the questions to ask at each stage of your AI lifecycle.
Read →How to stand the framework up in an existing programme, from first profile to embedded measurement.
Read →Bringing cost discipline to AI spend, so every line of cost has an owner.
How to attribute model and platform spend back to the teams and use cases that drive it.
Read →A model for setting AI budgets and charging spend back, with the controls that keep teams inside them.
Read →Why unit economics beat raw spend, and how to track the cost of an outcome rather than a call.
Read →Turning governance data into a clear, defensible board-level view.
The questions a board reliably asks about AI risk, with guidance on how to answer each with evidence.
Read →A ready-to-use template that turns governance data into the risk and assurance view your board needs.
Read →The handful of metrics and artefacts that give a board confidence, and how to keep them current.
Read →Extending the same control framework into your SAP landscape.
How to bring AI running in and around SAP into the same control framework as the rest of your estate.
Read →A crosswalk mapping AI governance controls onto familiar SAP access and segregation-of-duties practices.
Read →The runtime guardrails that keep SAP-connected AI inside policy as it acts on real business data.
Read →See how the platform turns guidance into controls, evidence and reports you can run.