The situation
Maya needs a proportionate way to understand what requires attention before assessment.
Lesson 3 of 12 · 6-minute lesson
Screen and prepare the use case
Use seven questions to identify attention areas and create relevant preparation work without producing a score.
For: AI use case owners and governance leads
This lesson uses National AI Centre guidance: AI screening questions, Guidance for AI adoption: foundations.
The problem
A generic checklist can create busywork or false confidence if every answer becomes a score.
The choice
Maya answers the seven questions and converts only relevant findings into owned work.
What you will learn
By the end of this lesson
- Answer the seven screening questions.
- Interpret attention areas without a score.
- Create a relevant preparation plan.
The pivotal moments
What changes—and why it matters
Moment 1
Answer seven plain-English questions
What the person does
Maya records what the use does, who it affects and where control matters.
What the workspace records
The workspace keeps each answer and explanation.
Notice
The questions cover information, impact, regulation and human control.
Why it matters
The team can see why an area needs attention.
Moment 2
Interpret without a score
What the person does
Maya reviews the result with the team.
What the workspace records
The result names attention areas and explains that no score or automatic outcome is produced.
Notice
More attention does not automatically mean stop; fewer flags do not mean approve.
Why it matters
Judgement remains with accountable people.
Moment 3
Create only relevant work
What the person does
Maya assigns process, impact, data, supplier, team and policy work where needed.
What the workspace records
Each item has a reason, owner and status.
Notice
Activities that are not relevant can be left out with an explanation.
Why it matters
People can follow each screening finding into the preparation plan.
Official guidance used in this lesson
Check the published guidance
National AI Centre
AI screening questions
Explains the seven-question early check, including that it produces no score or automatic outcome.
Last checked 30 September 2026
National AI Centre
Guidance for AI adoption: foundations
Provides core actions for organisations beginning responsible AI governance.
Last checked 30 September 2026
The complication
The difficult part stays visible
Screening can reveal uncertainty, but it cannot establish whether a proposed safeguard works.
The outcome
The use case has a focused preparation plan and remains clearly unapproved.
Check your understanding
What score does screening produce?
Show the answer
None. It records answers and attention areas, then helps the team choose relevant preparation work.
Key points
Remember these three things
- Screening is an early check.
- The seven answers produce no score.
- Relevant findings become owned preparation work.
What happens next