Lesson 1 of 12 · 7-minute lesson

See the complete governance journey

Follow one AI use case from an initial idea to an accountable decision, owned actions and review.

For: AI leads, accountable executives and people evaluating the product

This lesson uses National AI Centre guidance: Planning for AI, Essential AI practices.

The situation

Harbour Lane Accounting wants to use AI to prepare client follow-up drafts without handing decisions to a system.

The problem

The idea touches client information, staff responsibilities and supplier controls. A promising idea is not yet a safe or accountable use case.

The choice

Maya creates one shared AI use case and connects its policy, preparation, assessment and follow-up before testing begins.

What you will learn

By the end of this lesson

  • Explain the connected governance journey.
  • Identify what the workspace records at each stage.
  • Distinguish preparation from assessment and approval.

The complete journey

How the work connects

Moment 1

Create one accountable use case

What the person does

Maya records the purpose, limits and owner.

What the workspace records

One shared record brings preparation, assessment and follow-up together.

Notice

The proposal still needs preparation.

Why it matters

The team shares one starting point instead of running an informal experiment.

North Star AI use case overview with owner, status and next action
The shared record establishes responsibility and the next action.

Moment 2

Screen for attention areas

What the person does

The team answers seven screening questions.

What the workspace records

Answers identify areas needing attention without creating a score.

Notice

Screening is an early check, not an approval.

Why it matters

Relevant preparation work becomes visible.

Seven screening questions for the client follow-up use case
Screening identifies attention areas without scoring the proposal.

Moment 3

Assign preparation work

What the person does

Maya assigns relevant activities and owners.

What the workspace records

The plan connects each activity to its reason and responsible person.

Notice

Not every tool is required for every use case.

Why it matters

The organisation does only the preparation this use case needs.

Preparation plan with activities and named owners
Relevant work is assigned before assessment begins.

Moment 4

Confirm the records used

What the person does

Maya reviews which records are ready to include in the assessment.

What the workspace records

The workspace shows what is included and why anything is left out.

Notice

An attached file is not automatically reliable evidence.

Why it matters

A reviewer can see what informed the assessment.

Assessment showing the records selected for the North Star AI use case
The assessment shows which records are included and excluded.

Moment 5

Prepare a clearly limited decision

What the person does

Maya prepares a proposed decision from four separate reports for the accountable decision-maker.

What the workspace records

The proposal records the reasons, uncertainty and conditions.

Notice

A proposed limited test is not approval for testing or live client use.

Why it matters

The organisation can see what is proposed and what must happen before approval.

North Star decision with conditions for limited testing
The proposed decision keeps the test limited and unresolved work visible.

Moment 6

Return work to the use case

What the person does

Actions, evidence needs and review triggers return to the shared record.

What the workspace records

Owners and the evidence needed to close each action stay connected to the proposed decision.

Notice

Completing a task does not prove that a safeguard works.

Why it matters

Governance continues while the proposal moves through approval and testing.

Scheduled review for the AI-assisted client follow-up use case
Review triggers keep the use case under active governance.

Official guidance used in this lesson

Check the published guidance

National AI Centre

Planning for AI

Frames the practical work used to understand an opportunity and prepare an organisation.

Last checked 30 September 2026

National AI Centre

Essential AI practices

Provides the six practices used to organise safe and responsible AI use.

Last checked 30 September 2026

The complication

The difficult part stays visible

Meaningful human review is appropriate, but the team has not yet demonstrated that people can detect, reject and escalate unsuitable drafts.

The outcome

Harbour Lane records a proposed limited test using agreed sample data, people and stop rules. It remains unapproved until the named conditions are met and the evidence is reviewed.

Check your understanding

Does completing screening approve the use case?

Show the answer

No. Screening identifies attention areas. Preparation, assessment and an accountable decision still follow.

Key points

Remember these three things

  • One shared record connects the full journey.
  • Preparation identifies the records used in assessment.
  • Decisions return as owned work and review triggers.

What happens next

Open the AI Register lesson to see how the shared record is established.