All courses / AI Governance / Module 4 / Chapter 16
Learning objectives
After the lesson the participant can:
- Explain why an AI portfolio cannot be managed with budgets, milestones and status colours alone.
- Write a value hypothesis with a baseline, a target, acceptance criteria and retirement criteria.
- Distinguish measured from self-reported benefit and leading from lagging indicators.
- Design a report to the management body that separates what the pipeline measured from what a person judged.
Key concepts
- Portfolio register
- A directory of files, one per use case, validated in a pipeline. Intake is a pull request and the merge is the approval. One register serves governance, funding and regulatory reporting.
- Falsifiable value hypothesis
- A statement of expected value with a baseline and a target, which makes it falsifiable and therefore manageable. Its metrics are produced in production and compared with the baseline automatically, so the register shows whether the hypothesis is currently supported.
- Lifecycle states
- A closed vocabulary: proposed, discovery, pilot, scaling, operating, retired. The pipeline enforces transitions against evidence; a steering committee may move a use case without it only by recording an exception with an owner and an expiry date.
- Evidence-gated tranches
- The platform is funded centrally as a product; use cases are funded in tranches by the business units that own them, each released against evidence such as confirmed data access, an approved AI Decision Record or acceptance criteria met.
- Report as a projection
- A board or supervisory report generated by the pipeline from the register and stamped with the commit it came from, so that anyone who questions a figure can recompute it. A group projects the same register into one report per entity.
Interactive exercises
Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.
Interactive exercise 1 · Put in order
Lifecycle states of a use case
Put the lifecycle states of the portfolio register in the order a use case passes through them.
Interactive exercise 2 · Match
What is reported for each usage mode
Match each usage mode with the example indicators the chapter reports for it in the portfolio.
Teaching plan
| 10 min | Opening: participants recall an AI business case written to secure funding and never consulted again; the teacher introduces the portfolio as a set of hypotheses that may be disproved. |
| 25 min | Teacher presentation of the register entry UC-2026-031, the lifecycle state machine, exception EXC-2026-012, benefit tracking with a staged comparison, key results that pair outcome with constraint, and the funding model. |
| 15 min | Guided reading of Hansa Mutual's monthly AI risk report: the appetite table, items outside appetite, decisions requested and the single signed commentary. |
| 30 min | Exercise in pairs: write a portfolio register entry for one use case and a one-page risk report outline for the management body. |
| 10 min | Debrief: pairs test each other's hypotheses by asking what result would disprove them and what would trigger retirement. |
Discussion
- Retirement criteria are written at intake, when nobody is yet attached to the system. Which system in your portfolio would have been retired by criteria written on its first day?
- A key result such as deploying twenty AI use cases by year end rewards counting. What outcome and what constraint would you pair for your own programme?
- The committee reviews what was reported; it does not decide whether to report. Why does the chapter separate the obligation fixed in law from management discretion in this way?
Written exercise
Exercise · 30 minutes
A register entry with a falsifiable hypothesis
Pick one AI use case in your organisation, or model your entry on Hansa Mutual's claims correspondence drafting assistant. Write its portfolio register entry: name, business owner, current state from the closed vocabulary, a value hypothesis in one sentence with a measured baseline and a target, three acceptance criteria of which one is a quality constraint and one an override rate range, the AI Act class and decision record, the funding model with a platform charge and a use-case budget, and two retirement criteria. Add one leading and one lagging indicator and one dis-benefit you would measure. Then outline a monthly report to the management body: five indicators against appetite, one incident, items outside appetite with dates, and the decisions requested.
Deliverable: A portfolio register entry with hypothesis, baseline, acceptance and retirement criteria, and a one-page outline of a management-body report.
Self-test
Choose an answer to see whether it is right, or open the answer below each question.
What happens when Hansa Mutual's portfolio exception EXC-2026-012 reaches its expiry date without its closure condition being met?
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C. The use case reverts to its previous state unless the exception is closed
The on_expiry field is set to revert the state unless closed. A lapsed exception reverts the use case and does not silently become permanent, which keeps management discretion without losing accountability.In Nordvik Region's benefit realisation record for the staff assistant, how is the self-reported figure of hours saved per week treated?
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A. It is kept, classified as an estimate, and excluded from the benefit figure
Surveys overstate the time assistants save, so the chapter prefers measured to self-reported benefit. The survey figure is kept but not used in the benefit figure, the distinction a public auditor will ask about.Who pays for evaluation and assurance in the chapter's funding model, and why?
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D. The platform, so that nobody saves money by testing less
Evaluation and assurance are paid by the platform so that nobody saves money by testing less, while exit is paid by the use case through a provision set at intake.