← Consultant Academy
DELIVERABLE BLUEPRINTS

What a consultant should be able to produce

These are training blueprints for the structure of common AI Act Ready working papers and client deliverables. They help learners practise consistent evidence and reasoning before using the live delivery tool.

AI system inventory

System/use caseIntended purposeBusiness/technical ownerVendor/modelUsers and affected peopleDataGeographyRoleRisk/classification statusEvidence linksOpen questionsLast review/change trigger

Role & exposure map

System/modelEntityActivityLikely roleReasoningEvidenceEU market/output connectionOpen legal questionReviewer/date

Classification memo

FactsIntended purposeRelevant actorArticle 5 screenArticle 6/Annex pathwayException analysis if relevantArticle 50 screenGPAI considerationsConclusionEvidenceAssumptionsSource/dateEscalations

Evidence register

Evidence IDClaim/controlArtefactSource/ownerDate/versionRelevanceSufficiencyLimitationReviewerStatus

Gap register

FindingSystem/controlRequirement/criterionEvidence reviewedGapConsequencePriorityOwnerTarget dateClosure evidenceResidual risk

Assumptions & decisions log

DateIssueKnown factsAssumption/decisionReasonConsequence if wrongEvidence neededOwnerReview dateFinal resolution

Escalation brief

Question needing specialist inputWhy it mattersRelevant system/useKnown factsEvidenceCurrent working assumptionDecision requiredSpecialist ownerDue dateReturned advice/action

Remediation roadmap

ActionFinding addressedPriorityOwnerDependenciesStart/target datesDefinition of doneCompletion evidenceResidual riskStatus

Executive readout

Scope and limitationsCurrent AI estateMaterial exposuresPriority findingsDecisions required30/60/90-day actionsOwnersKey dependenciesOutstanding escalationsNext review

AIMS evidence map

AIMS topic/requirementRisk/objectiveControl/processOwnerEvidenceMonitoring measureInternal audit resultManagement-review decisionImprovement action

Quality rule

A template is not evidence and completing every field is not the objective. The learner should be able to explain why each material field matters, which source supports it, what remains uncertain and how the artefact connects to the wider evidence chain.