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Implementation checklist

AI Implementation Checklist for Rolling Out AI Software

Use this AI implementation checklist to plan owners, integrations, security review, pilot exit, training, workflow changes, launch metrics, support model, and renewal review.

Updated 2026-06-24Implementation checklistBuyer enablement page
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1

Pre-launch readiness

Implementation should start only after ownership, data, and success metrics are clear.

  • Confirm business owner, technical owner, security owner, vendor owner, and executive sponsor.
  • Complete security review, data mapping, integration scope, admin configuration, and user permissions.
  • Define launch cohort, workflow changes, support path, training materials, and success metrics.
2

Launch and adoption

AI adoption fails when users are asked to change behavior without visible workflow value.

  • Train users on approved use cases, output review, escalation, and feedback capture.
  • Track usage, task completion, time saved, quality issues, exception rate, and support tickets.
  • Set weekly review meetings during the first month to adjust prompts, workflow settings, and guidance.
3

Post-launch governance

The first release should create evidence for the next expansion decision.

  • Review security logs, audit evidence, user feedback, adoption metrics, and ROI assumptions.
  • Decide whether to expand users, add integrations, tune workflows, renegotiate cost, or pause rollout.
  • Set renewal metrics so the vendor must prove value before budget repeats.

Checklist

  • Owners and escalation paths are assigned before launch.
  • Security review, permissions, and data policy are complete.
  • Users know when to trust, review, edit, or reject AI output.
  • Launch metrics include adoption, quality, time saved, and user feedback.
  • Support and vendor response paths are documented.
  • Renewal review criteria are set before expansion.

How to use this template

  1. 1Start this checklist after the POC decision gate and business case approval.
  2. 2Assign owners to each item before enabling production users.
  3. 3Review adoption and quality weekly during the first month.
  4. 4Use post-launch metrics to decide whether to expand, pause, or renegotiate.

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FAQ

Questions about this AI template

What should be on an AI implementation checklist?

An AI implementation checklist should include owners, security review, data mapping, integrations, permissions, training, workflow changes, adoption metrics, support path, governance review, and renewal criteria.

When should an AI rollout expand beyond the first team?

Expand only after the first team shows adoption, measurable workflow improvement, acceptable error handling, support readiness, and no unresolved security or governance blockers.