Use these alongside the staged learning modules. They are deliberately practical: what to ask, what to record, what evidence to expect, where to look next and when to escalate.
Current implementation dates, source hierarchy and legal concepts that are easy to misremember from older training material.
A practical route from client facts to the relevant Article, role, classification pathway, evidence request and escalation decision.
Clauses 4–10, Plan-Do-Check-Act, Annex A control themes and the evidence an AIMS consultant should understand.
Six realistic fictional client situations covering HR, healthcare, credit, Shadow AI, public-sector decisions and SaaS feature drift.
Training structures for inventories, role maps, classification memos, evidence registers, remediation roadmaps and executive readouts.
A human coaching guide for reviewing simulated delivery across scope, role mapping, classification, evidence, communication and escalation.
Workshop prompts, minimum inventory fields, Shadow AI clues and a repeatable discovery workflow.
How to test evidence, document assumptions, maintain traceability and write defensible findings.
AI-specific procurement questions covering role, data, testing, oversight, security, changes and conformity evidence.
From kickoff and scope through gap analysis, remediation, executive readout and internal quality review.
For live work, confirm current authoritative sources, record the facts and evidence behind material decisions, and escalate specialist legal, privacy, security or technical questions when required.