Performance Management

How to Make AI Work for Us

A pragmatic guide to integrating AI into day-to-day management without compromising trust, outcomes, or team morale.

By Team ScrummerAI1 min read

How to Make AI Work for UsLink to heading

Modern teams are already using AI—some of it intentionally, much of it accidentally. The real question is: how do we make AI useful without getting in the way?

The Practical FramingLink to heading

AI should reduce toil and improve signal. Anything else is a distraction.

What AI Should DoLink to heading

  • Remove repetitive work (status updates, note-taking, summaries)
  • Improve decision quality (surfacing risks, highlighting trends)
  • Boost momentum (turn notes into tasks, tasks into plans)

Keep Humans in the LoopLink to heading

Design workflows where humans review and approve. AI drafts, people decide. Create clear handoffs:

  1. AI drafts outcomes and risks
  2. Manager edits tone/priority
  3. Team confirms feasibility

Metrics That MatterLink to heading

Track changes in:

  • Cycle time
  • Meeting load
  • Decision lead time
  • Team sentiment

If those aren’t improving, the AI isn’t working for you—yet.

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