A 90-Day AI Roadmap
Build a simple three-month plan that moves a team from first experiments to real, repeatable AI wins.
Days 1 to 30: learn and pick
The first month is about understanding, not big bets. Let a few curious people try AI on everyday tasks and note where it clearly helps. List the painful, repetitive jobs that eat time, then pick one or two as your first real targets. Ending month one with a short, honest shortlist beats trying to fix everything at once.
Days 31 to 60: pilot and measure
In the second month, run a focused pilot on the targets you chose. Set one simple measure of success up front, such as hours saved per week or faster response times. Check the number midway so you can adjust instead of waiting until the end. A pilot with a clear measure tells you honestly whether to continue or change course.
Days 61 to 90: scale what works
The final month is for spreading the wins and dropping the dead ends. Take what clearly worked in the pilot and roll it out to more people with simple guides. Quietly retire experiments that did not pay off so the team stays focused. By day ninety you want a few proven habits in place, not a pile of half-finished trials.
Keep the plan flexible
A roadmap is a guide, not a contract carved in stone. AI tools change quickly, and what you learn in month one may reshape month two. Review the plan at the end of each phase and adjust the next steps based on real results. A flexible plan that follows the evidence beats a rigid one that ignores it.
Key takeaways
- Month one: learn and shortlist one or two targets.
- Month two: pilot with a single clear success measure.
- Month three: scale wins and retire dead ends.
- Review each phase and follow the evidence.
4 questions · pass at 60% to earn XP