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Deliverables
What the AI Manager Playbook Sprint delivers
The sprint produces practical documents that P&C, managers and leaders can use immediately. It is not a long theoretical report.
Manager AI Playbook
Purpose
Help managers make consistent decisions about AI-assisted work.
Includes
- acceptable and unacceptable use examples
- quality review guidance
- disclosure guidance
- performance conversation guidance
- confidentiality reminders
- fairness and employee concern guidance
- escalation rules
Employee AI Use Guide
Purpose
Give employees plain-language guidance on responsible AI use.
Includes
- what good use looks like
- what not to enter into AI tools
- when to disclose AI use
- when human review is required
- where to ask questions
- how to raise concerns
AI People Risk Register
Purpose
Give P&C a practical view of likely people risks.
Includes
- manager inconsistency
- conduct ambiguity
- performance ambiguity
- privacy and confidentiality risk
- trust concerns
- workload creep
- escalation gaps
Human Review and Escalation Map
Purpose
Show who reviews what and when issues need escalation.
Includes
- human review points
- manager review responsibilities
- P&C escalation triggers
- legal/privacy/cyber/WHS/risk escalation triggers
- documentation expectations
90-Day P&C / HR Action Plan
Purpose
Give P&C a focused implementation plan.
Includes
- immediate communications
- manager briefing priorities
- policy/process updates
- evidence to retain
- unresolved decisions
- 90-day review points
Baseline and Measurement View
Purpose
Make the sprint measurable.
Includes
- pre-sprint current-state score
- post-sprint output completion
- 90-day implementation review
- 12-month re-engagement review
Sample playbook scenario
A sprint output is not a long theoretical report. The Manager AI Playbook gives managers practical response guidance for real situations.
Scenario
An employee uses AI to draft client-facing material.
Manager question
Is this acceptable, should it be disclosed, and what needs to be checked before the work is used?
Manager response guidance
- Confirm whether AI use is allowed for this type of work.
- Ask whether confidential, client, employee or sensitive information was entered into the tool.
- Review the output for accuracy, tone, completeness and client-specific obligations.
- Confirm whether AI use needs to be disclosed internally or to the client.
- Decide whether the issue is acceptable use, a quality concern, a capability gap, a conduct concern or a confidentiality incident.
- Escalate to P&C, legal, privacy, cyber or risk if confidential information, client commitments, regulatory obligations or employee conduct concerns are involved.
- Document the decision if it affects performance, conduct, client risk or confidentiality.
Manager should not
- treat AI use as misconduct without checking policy, guidance and context
- rely on AI output without human review
- apply a different standard from other teams
- use AI to make performance or conduct conclusions without proper review and procedural fairness
- ignore employee concerns about fairness, workload or monitoring
What P&C gains
- a consistent manager response
- clearer employee guidance
- better escalation decisions
- stronger documentation if the issue becomes formal
- reduced risk of team-by-team inconsistency