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AD 103 Apply

Turn what you learned into your own AI Use Case Portfolio

What this artifact is for

The AI Use Case Portfolio is AD 103's final artifact: it separately rates the Value, Feasibility, Readiness, and Risk of the Use Case built in AD 101/AD 102, and decides a next step, owner, and review date.

Info

Human, AI, Human: a person makes the final prioritization and governance call; AI may help organize comparison data, but never replaces human review.

A structurally complete Use Case Portfolio

  • Value, Feasibility, Readiness, and Risk are scored separately, with no opaque total score
  • Every rating is backed by concrete evidence
  • Risk is clearly visible, with obviously high-risk cases flagged for governance review
  • Unknowns are honestly listed
  • Dependencies are noted
  • Every Use Case has an explicit next step, owner, and review date

Info

Feedback from the platform is a learning aid, not a professional credential, and never replaces human review or governance process.

Before you submit

Warning

Do not enter company secrets, client or personal data, or unauthorized sensitive information.

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What you need to complete

  • Complete both AD 103 modules
  • Score at least 80% on the course post-test
  • To earn the Prioritization & Portfolio Design Capability Certificate, also submit an AI Use Case Portfolio and have it reviewed against the rubric by a Credential Admin

How you are assessed

A Credential Admin scores the AI Use Case Portfolio against six weighted domains: Value Evidence Quality, Feasibility Evidence Quality, Readiness Evidence Quality, Risk Visibility & Escalation, Honest Unknowns & Dependencies, and Actionable Next Step. Out of 18 points, scoring 15 or more with no critical-fail rule triggered is a PASS; 12 or fewer, or any triggered critical-fail rule, is a FAIL.

Info

This scoring logic is published so you know what is being assessed. It is not the same as a quiz answer key, and it does not automatically judge whether your Value/Feasibility/Readiness/Risk numbers themselves are "correct": the review looks at whether each rating is backed by evidence.

Practical evidence

  • A recorded rubric result (PASS, REVISION_REQUIRED, or FAIL) with no critical-fail rule triggered
  • A PASS leaves individual capability evidence for all seven AD 103 fine-grained competencies (Value, Feasibility, Readiness, Risk, Evidence, Portfolio, Next Step)

What you can earn

AD 103 Course Completion Certificate: earned by completing both modules and meeting the post-test threshold, with no need to submit an AI Use Case Portfolio. Prioritization & Portfolio Design Capability Certificate: requires submitting the Portfolio and passing review; the two credentials are independent and do not affect each other.

What this credential does not mean

This credential confirms the holder completed AD 103's required coursework and post-test, or (for the capability certificate) demonstrated the ability to separately rate Value, Feasibility, Readiness, and Risk for an AI Use Case Portfolio while keeping evidence visible.

  • It does not represent a formal product-management or governance professional certification or hiring qualification
  • It does not mean any Use Case the holder prioritizes in the future is automatically correct or approved
  • It does not mean human review can be skipped before a high-impact decision (Human, AI, Human)

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