Buyer template · Pilot checklist · Updated 2026-07-01
AI Tool Pilot Checklist
A step-by-step checklist for piloting a new AI tool with one team before buying seats broadly.
When to use it: Use this before expanding an AI tool beyond a single pilot team or a free trial.
Before the pilot
- Name one clear problem the tool needs to solve and how you will measure it.
- Pick one team, one workflow, and a fixed pilot window (2-4 weeks).
- Confirm what data the tool can access and whether that data is sensitive (source code, customer data, financial data, health data).
- Check the vendor's stated data retention, training-on-your-data, and deletion policy.
- Confirm who owns the pilot budget and who signs off on renewal or expansion.
During the pilot
- Track adoption: who actually uses it weekly, not just who has access.
- Collect specific before/after examples, not just satisfaction ratings.
- Note any workaround or shadow-IT behavior the tool causes, such as pasting data elsewhere.
- Flag any security, compliance, or admin-control gaps as they come up instead of waiting for the end of the pilot.
Before scaling
- Decide keep, replace, or drop based on the original problem statement, not sunk cost.
- If scaling, define admin controls, seat management, and an offboarding process.
- Write down the decision and why, even briefly, so the next review has context.
- Set a reminder to re-review pricing and security posture in 6-12 months.
Related workflows
- AI Tools for Workplace Productivity
A suite and inbox productivity stack for teams choosing where AI belongs across email, docs, meetings, and internal knowledge.
- AI Tools for Customer Support Teams
A support-automation stack for teams deciding when to use AI agents, how to price automated resolutions, and where to put escalation and action controls.
- AI Tools for Workflow Automation
A workflow-automation stack for teams deciding when to connect apps, add AI agents, and put human approvals around cross-system work.
Not sure which stack fits first?
Take the stack quiz for a recommended starting point.
The deterministic quiz returns a recommended stack, avoid-for-now guidance, and a rollout note you can carry into this checklist.