Practical guide
Templates and checklists for AI-enabled work
Practical structures for planning, documenting and reviewing AI-enabled tasks without replacing context, evidence or judgment.
A useful AI work template makes important decisions and evidence visible. It can prompt a worker to define the task, record sources, allocate work between human and AI, verify material claims and communicate limitations. A template supports consistency, but it cannot decide which evidence matters or which controls fit the consequences.
Design each template around a real decision
Begin with the action the template should improve. A task brief clarifies objective and constraints; an evidence map traces claims to sources; a verification checklist targets likely failures; a review record preserves decisions, exceptions and follow-up.
NIST's AI RMF Playbook offers suggested actions and documentation practices that organizations can tailor to their context. Its flexibility is useful: a template should make a practice easier to perform, not turn every suggestion into a universal compliance form.
Include only fields that change a decision or create useful evidence. A long checklist can produce mechanical completion while material risks remain unseen. Ask what the user must notice, decide or communicate at each stage of the work.
Sources: [1] [2]
Build a minimum evidence chain into the asset
Strong templates connect the objective, inputs, AI contribution, checks and final owner. This creates a compact chain from source material to delivered claim and makes it easier for another person to review what happened.
For a research task, fields might include the question, inclusion criteria, search record, selected sources, excluded sources and unresolved disagreement. For a business recommendation, they might include decision criteria, assumptions, calculations, counterevidence and approval points.
The asset should distinguish required fields from optional prompts and provide an example of an acceptable entry. If evidence is unavailable, the template should allow the user to mark it missing rather than inventing completion.
Sources: [1] [3]
Test the template in the workflow and maintain it
A template is ready only when representative users can apply it to realistic work, reviewers can understand the resulting record and the fields catch the failures they were designed to address. Version, ownership and review dates prevent an obsolete asset from becoming invisible policy.
Pilot the template against both a normal case and a difficult case with conflicting evidence, uncertainty or time pressure. Remove fields that create no useful signal and add guidance where users interpret the same prompt inconsistently.
Training should explain why each control exists and when escalation is needed. Skills England's benchmark combines effective use with critical evaluation, responsible practice and collaboration; templates should support those behaviors rather than reduce capability to form completion.
- Name the decision, user and workflow stage.
- Connect claims and calculations to inspectable evidence.
- Provide a route for uncertainty, exceptions and escalation.
- Assign an owner, version and next review date.
Sources: [3] [1]
Sources
- 1.NIST AI RMF Playbook · National Institute of Standards and Technology
- 2.Artificial Intelligence Risk Management Framework (AI RMF 1.0) · National Institute of Standards and Technology
- 3.AI foundation skills for work benchmark · Skills England
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