Service
Move from AI policy to manager-ready practice.
A fixed-scope 2-3 week sprint for Heads of P&C, HR and People teams that gives managers practical guidance for leading AI-assisted work consistently, fairly and responsibly.
AI use creates people-management decisions long before it becomes a formal HR issue. Managers may need to decide whether AI-assisted work is acceptable, whether it should be disclosed, how to review quality, whether confidential information has been mishandled, how to discuss performance, and when to escalate.
Without guidance, those decisions are made differently across teams.
AI changes
P&C impact
Quality, accountability and performance ambiguity
AI changes
P&C impact
Inconsistent standards and unfair treatment risk
AI changes
P&C impact
Confidentiality, privacy and trust concerns
AI changes
P&C impact
Workload creep and role clarity pressure
AI changes
P&C impact
Anxiety, trust, employee voice and engagement concerns
AI changes
P&C impact
Conduct, escalation and documentation gaps
Help managers make consistent decisions about AI-assisted work.
Give employees plain-language guidance on responsible AI use.
Give P&C a practical view of likely people risks.
Show who reviews what and when issues need escalation.
Give P&C a focused implementation plan.
Make the sprint measurable.
Representative scenario, not a client case study.
A 200-person professional services firm has rolled out Microsoft Copilot. Three months later, managers are asking whether staff can use AI for client-facing work, whether AI use should be disclosed, and how to handle poor AI-assisted output. P&C has an AI policy, but no practical manager guidance.
Why it matters
The goal is to stop managers making AI-related people decisions up team by team before inconsistency becomes a complaint, performance dispute or trust issue.
A sprint output is not a long theoretical report. The Manager AI Playbook gives managers practical response guidance for real situations.
Scenario
Manager question
Is this acceptable, should it be disclosed, and what needs to be checked before the work is used?
Response guidance excerpt
The sprint starts with a repeatable current-state assessment. Each domain is scored using clear questions, evidence requirements and response anchors, then reassessed after the sprint, at 90 days and at 12 months.
Do managers know how to review, challenge and escalate AI-assisted work?
Do employees know what good AI use looks like, what to avoid and when to disclose use?
Is there practical guidance on what information must not be entered into AI tools?
Do managers know when AI-related issues are performance, conduct, capability or training matters?
Are human review points defined for higher-risk AI-assisted work?
Do managers know when to involve P&C, legal, privacy, cyber, WHS or risk?
Do employees know how to raise concerns about fairness, monitoring, workload or AI use?
Can leaders show what guidance, review points and actions exist?
0 = Not in place
1 = Informal / inconsistent
2 = Partially defined
3 = Defined and communicated
4 = Embedded and evidenced
Baseline before sprint
Post-sprint deliverables complete
90-day implementation review
12-month re-engagement review
Week 1
Baseline assessment, document review, stakeholder interviews and issue mapping.
Week 2
Draft manager playbook, employee guide, people risk register and escalation map.
Week 3
Validation workshop, final deliverables, 90-day action plan and sponsor readout.
Source
Microsoft and LinkedIn Work Trend Index
75%
What it says
Microsoft and LinkedIn report widespread AI use by knowledge workers.
P&C consequence: managers need practical guidance because AI use is already inside daily work.
Source
OAIC generative AI privacy guidance
Privacy
What it says
Privacy obligations apply when personal information is input into AI systems or appears in AI outputs.
P&C consequence: employees and managers need practical guidance on what information must not be entered into AI tools.
Source
Safe Work Australia psychosocial hazards
WHS
What it says
Work design, job demands, support, role clarity and change management can create psychosocial risks.
P&C consequence: AI change can affect workload, ambiguity, supervision, monitoring concerns and employee trust.
Source
Fair Work Ombudsman performance guidance
Fair process
What it says
Performance issues require clear communication, support and appropriate process.
P&C consequence: managers need guidance on whether poor AI-assisted work is a capability, conduct, quality or training issue.
This service is not legal advice, WHS certification, an audit opinion, compliance certification, official AI assurance approval, employee surveillance or a generic AI policy template. It is practical P&C support to help managers respond consistently and responsibly.