Skip to content
Samontech Work
Menu

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 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

  1. Confirm whether AI use is allowed for this type of work.
  2. Ask whether confidential, client, employee or sensitive information was entered into the tool.
  3. Review the output for accuracy, tone, completeness and client-specific obligations.
  4. Confirm whether AI use needs to be disclosed internally or to the client.
  5. Decide whether the issue is acceptable use, a quality concern, a capability gap, a conduct concern or a confidentiality incident.
  6. Escalate to P&C, legal, privacy, cyber or risk if confidential information, client commitments, regulatory obligations or employee conduct concerns are involved.
  7. 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
Book a 30-minute AI manager readiness check