Talent Sprints · Example Sprint

Your team can build what it used to wait for.

AI-Ready Talent Team. Your team picks its own repeated work and builds its first tools on it, using the AI tool you have already approved.

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The Problem

Your people are already trying AI, mostly alone and mostly on small things. Nobody has shared what works, the rules are unclear and the repeated work is still there.

The Two Weeks

What a Sprint like this could look like.

This is an example. Yours gets shaped around your problem.

1

Take a baseline

The team completes AQ Self, so you can see where capability sits.

2

Choose the work

List the repeated tasks and pick the ones to take first.

3

Set the rules

What data can go where under your own policy, and where a person must make the decision.

4

Build

A working session where the team builds its first tools on its own tasks.

5

Write it down

Turn what worked into a team board and a first playbook.

What You Keep

  • ✓ An AQ baseline for the team
  • ✓ Working tools for the tasks you chose
  • ✓ A team board and first playbook, so what they learn stays when people move on
  • ✓ Clear rules for data use and human decisions

When It Fits

  • ▸ Your team uses AI informally, with no shared approach
  • ▸ You have an AI line in the budget and no plan for it
  • ▸ A thin team is carrying too much repeated work

People decisions stay with people

AI does the repeated work. Your team makes the calls about people.

Start with one Sprint.

45 minutes. No deck, no pitch. A sharp conversation about your problem, and whether this Sprint or a different one fits it.

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