Architecture Advisory · Checklist

AI Strategy Readiness Checklist — before you commit budget.

Check organizational readiness — not just technical readiness — before committing to an AI transformation roadmap that survives contact with reality.

Mapped to current published standards & statute text
14
Checklist items, each with a test procedure & evidence example
5
Stages, organized the way a real implementation unfolds
Free to use. Work through it here, no form needed. To get your readiness score, submit it for expert review below.
Expert review

Get your readiness score

Work through the checklist, then submit it — an expert scores it using Self-Compliance and emails you the result.

Check off at least one item below to unlock
Open "How to verify this" on any item for the exact test procedure & evidence an auditor would want Progress saves only in this browser — nothing is sent anywhere until you submit it for review
0 of 14 items checked off
Browsing:
  • How to verify this →

    Test procedureReview the prioritization matrix/scoring and confirm the top-ranked use cases score highest on value and feasibility, not just 'interesting'.

    Practical example / evidenceUse-case prioritization matrix with scoring criteria and rationale.

  • How to verify this →

    Test procedureCheck the pilot charter's date against the date success metrics were defined — metrics should predate the pilot's start.

    Practical example / evidencePilot charter with success metrics, dated before kickoff.

  • How to verify this →

    Test procedureReview the budget line items for production-stage costs (scaling, monitoring, support), not only pilot development.

    Practical example / evidenceBudget document itemizing pilot and production-stage costs separately.

Stage 1 of 5
  • How to verify this →

    Test procedureRun a data-quality profile on the specific dataset the top use case needs and check it against a minimum-quality bar before build starts.

    Practical example / evidenceData quality assessment report for the priority use case's dataset.

  • How to verify this →

    Test procedurePick a sample model output and trace it back through the data lineage documentation to its source.

    Practical example / evidenceData lineage documentation and a traced example.

Stage 2 of 5
  • How to verify this →

    Test procedureHave an architect review the target approach against current infrastructure (vector store, compute, integration layer) for gaps.

    Practical example / evidenceArchitecture review document identifying gaps or confirming fit.

  • How to verify this →

    Test procedureCheck the project plan for evaluation/monitoring tasks scheduled in the same phase as the build, not a later backlog item.

    Practical example / evidenceProject plan or roadmap showing evaluation/monitoring tasks alongside build tasks.

  • How to verify this →

    Test procedureReview the integration map for every system the AI use case touches, including older/legacy systems that are easy to forget.

    Practical example / evidenceIntegration map or system diagram covering legacy systems.

Stage 3 of 5
  • How to verify this →

    Test procedureAsk who approves a new AI use case today and confirm the answer matches a documented (even lightweight) decision-rights structure.

    Practical example / evidenceGovernance RACI or decision-rights note, however informal.

  • How to verify this →

    Test procedureCheck the use case against a regulatory-applicability checklist (e.g. EU AI Act risk tier, sector rules) before build starts.

    Practical example / evidenceRegulatory-scoping memo or checklist completed for the use case.

  • How to verify this →

    Test procedureReview the design documentation's date for guardrail/oversight sections against the launch date — they should predate launch, not follow an incident.

    Practical example / evidenceDesign document with guardrail/oversight sections dated before launch.

Stage 4 of 5
  • How to verify this →

    Test procedureCheck design-review attendance records for representation from the affected teams, not just the build team.

    Practical example / evidenceDesign-review meeting notes/attendance showing affected-team participation.

  • How to verify this →

    Test procedureCompare the skills the use case needs against the current team's skills matrix and check for a corresponding closing plan.

    Practical example / evidenceSkills-gap assessment and closing plan (hiring, training or partner engagement).

  • How to verify this →

    Test procedureCheck the planning documentation shows both technical-debt and new-AI-work budget lines, with an explicit trade-off decision recorded.

    Practical example / evidenceBudget/planning document showing the explicit trade-off decision.

Stage 5 of 5

Frequently asked questions

What's the most common reason AI pilots don't reach production?

Underestimating the organizational and data-readiness work relative to the model work itself — a technically successful pilot still stalls without a clear business owner, a data pipeline that survives contact with real data, and a governance model for ongoing risk.

How does this relate to enterprise architecture frameworks like TOGAF?

This checklist is a readiness gate, not a full framework — but it's meant to plug into whatever enterprise architecture practice you already run, so AI initiatives get the same architectural rigor as any other major technology investment.