Appendix D

Templates

D1. Use-case canvas (Module 1)

Section Your entry

Use case name

Process and pain point

AI approach (and mode: automate / augment)

Benefits

Risks

Guardrails

KPIs: measure, baseline, target

Scores: value / feasibility / risk

Owner and next step

D2. Document quality rubric (Module 2)

Dimension Pass? Notes and changes made

Accuracy: every fact traced to a source

Completeness

Clarity and reading level

Tone and brand

Fairness and inclusion

Compliance: no unsupported promises; required statements present

Confidentiality

Approved by (name, date)

D3. Assistant scope card (Module 3)

Field Your entry

Name

Field Your entry

Audience

Purpose

In scope

Out of scope

Escalation contacts

Success measures

Owner and review date

D4. Assistant test log (Module 3)

#CategoryQuestionExpected behaviourResult (roundResult (round
1)2)

1

2

3

…

D5. Change log (Modules 3 and 5)

DateWhat changedWhyTest resultTest result after
before

D6. Data story methods note (Module 4)

Item Your entry

Question answered

Data sources and period

Group sizes and response rates

De-identification steps

Item Your entry

Tool used and prompts (attach log)

What was verified, and how

Assumptions behind cost figures

Limits and confidence

D7. Automation specification and runbook (Module 5)

Element Your entry

Purpose

Trigger

Input fields

Conditions (filters)

Actions, in order

Human checkpoints: where, who, timeout behaviour

Error handling and alerts

Data that must not pass through

How to switch it off

Owner and review date

Estimated time saved per year