AI for managers
AI can change the preparation and coordination a manager's team performs. Before changing responsibilities or reporting lines, examine the human decisions, review work and accountability that remain.
Does automated reporting justify a different reporting structure?
AI for managers combines task preparation, output review and the allocation of work. AI can draft, summarise, compare evidence and perform authorised routine steps when the required information and policy are available. Managers decide the system’s authority and remain accountable for the work. An unusual case may still be resolved by a rule. Managerial judgement is required when agreed guidance cannot settle a choice and getting it wrong would have serious consequences. Team routines should distinguish execution, decisions, accountability and system maintenance. After routine work changes, managers can examine the remaining human workload before revising staffing or reporting relationships.
The leave-request example distinguishes routine checks from a staffing conflict that policy cannot resolve. The agent can apply the agreed rules, while the manager must decide how to maintain cover when qualifying requests conflict.
Work on a decision you recognise.
An agent now prepares team status notes and sends routine reminders. A proposal recommends removing a management layer because those tasks were automated. What should you examine before accepting the proposal?
Examine the remaining managerial work
Determine which decisions and responsibilities the manager still handles: resolving conflicts, approving consequential actions, reviewing exceptions and developing employees. Record their frequency, difficulty and the information needed to handle them.
A change in routine preparation does not establish that these responsibilities have disappeared. Review the remaining human workload before deciding staffing, supervision and reporting lines.
- Starting material
- The workflow, the agent's authorised actions, escalation records and the manager's remaining decisions and responsibilities.
- The task
- Prepare status information and identify cases that fall outside agreed guidance, with references to the relevant records.
- Review the result
- Check the quality of routine output and whether exceptions reach the appropriate person. Measure the human review and decision workload before restructuring.
What participants work on.
- Manager work inventory across communication, review, coaching, reporting, and decisions
- Approved, restricted, and blocked AI-use cases for the team
- AI-assisted output review routine for evidence, assumptions, risk, and tone
- Work-chart mapping of human, AI, and hybrid responsibility
- Team norms for disclosure, privacy, escalation, and reusable examples
- 30/60/90-day follow-through for adoption, review, and workflow redesign
Map recurring team work
Identify tasks such as drafting, research, reporting, coaching preparation and decision briefs. Record their information needs and the authority required to act.
Routine work may follow agreed guidance. Consequential choices that guidance cannot resolve require human judgement, including a decision about how competing priorities should be handled.
Check evidence and assumptions
An organised AI-generated report can still contain incorrect claims or unsupported reasoning. Review the source material, assumptions, calculations and unresolved questions.
Agree what supporting evidence an employee must provide and who can approve the resulting action.
Review the allocation of work
An AI use case may improve one task or change the process because preparation and coordination requirements have changed. Examine the complete workflow before deciding which steps to retain.
Keep execution, decision rights, accountability and maintenance explicit. Examine the volume of remaining human work before proposing staffing or reporting-line changes.
Connect the problem to an action.
| Area | Question to examine | Programme response |
|---|---|---|
| Changes to managerial tasks | Managers worry that drafting, summarising, and coordination work can be absorbed by AI. | Map the work that changes and identify responsibilities for information, review, approval, escalation and accountability. |
| Employees use AI privately | The team is already experimenting, but the manager cannot see the boundary, quality, or risk. | Create team norms for approved tasks, restricted data, disclosure, output checks, and reusable examples. |
| Checking sources and reasoning | AI can make a memo, plan, or performance note look finished before the thinking is ready. | Review the source evidence, assumptions and checks, and decide what needs revision before an action is approved. |
Questions about the programme.
Where should managers start with AI?
Start with recurring team tasks such as communication, review notes, meeting summaries, research, reporting, coaching preparation, and decision briefs. Then decide which tasks are approved for AI support, what data is restricted, and what outputs need manager review.
Will AI replace managers?
AI can perform routine drafting, summarising, search and coordination within its agreed authority. The manager remains accountable. Review the remaining decisions and human workload before considering staffing or reporting changes.
What should managers check in AI-assisted work?
Managers should check the source material, assumptions, missing context, privacy requirements and the decision being made before approving work for a client, employee or customer.
Should managers learn Claude, ChatGPT, Gemini, or Copilot first?
The tool matters less than the review habit. Managers can use Claude, ChatGPT, Gemini, or Copilot for workplace tasks, but the transferable skill is knowing what work to give AI, what context to withhold, and what evidence to review before acting.