The 45-Minute AI Ops Sprint Kit

Ship one automation each week. Treat AI like product, not theatre.

Why this sprint works

Every team wants leverage from AI, but most experiments die in a backlog. This sprint keeps scope tight enough to finish, yet meaningful enough to ship. You move through three loops: framing, building, and amplifying.

• Framing (15 minutes): clarify the single job the workflow performs, the trigger, and the definition of done.
• Building (20 minutes): pair a human operator with the model, capture the happy path, and harden with edge prompts.
• Amplifying (10 minutes): document inputs, outputs, and the guardrails before sharing widely.

The point is momentum. Every shipped automation increases trust and appetite for the next one.

Prep checklist

1. Pick a workflow that is already happening weekly.
2. Capture three real world examples to prime your prompt library.
3. Define the human in the loop: what they review, what they can override.
4. Draw the target state on a single page for the team to reference during the sprint.

Sprint agenda template

| Block | Intent | Output | | --- | --- | --- | | Stand-up | Align on the job-to-be-done, success metrics, and blockers. | One sentence goal and constraint list. | | Build studio | Co-create the prompt, test using sample inputs, document the guardrails. | Working prototype in your tool of choice. | | Demo | Stakeholders review outcomes, log deltas for next iteration. | Captured feedback and sign-off to ship. |

Making it stick

• Narrate progress: keep a lightweight changelog in your project hub so stakeholders know what shipped.
• Automate observation: track usage stats so you can see how humans and the model share the work.
• Close the loop: schedule a five minute retro; capture what to repeat and what to adjust next sprint.

When your team trusts the cadence, they stop waiting for the "big AI release" and start compounding small wins. That is how leverage becomes culture.