Running Your First AI Pilot

Learning Objectives Design and run a structured 30-day AI pilot with your team Choose the right scope, tools, and success metrics Turn pilot results into a compelling case for broader adoption Why Pilots Beat Rollouts The biggest adoption mistake is going from zero to "everyone must use AI" in one step. It overwhelms people, generates resistance, and produces poor results that discredit the entire initiative. Pilots work because: They limit risk — if the pilot fails, you learn cheaply They create champions — pilot participants become your best advocates They generate data — real results from your team, not vendor case studies They build confidence — yours and your team's The 30-Day Pilot Framework Week 0: Preparation (Before Day 1) Select your pilot group. Choose 5 to 10 volunteers — not the whole team. Look for: A mix of enthusiasm levels (not just the AI-excited people) People whose work represents common team tasks At least one skeptic (their conversion is your most powerful story) Choose one use case. Do not try to pilot everything. Pick the task that is: Done frequently (at least weekly) by most team members Time-consuming but routine (email drafting, report writing, meeting prep, data analysis) Easy to measure (you can compare time spent before and after) Set up the tools. Ensure every pilot participant has access to the AI tool you are testing. Handle account creation, permissions, and basic configuration before day 1. Define success metrics before you start: Week 1: Onboarding and First Tasks Day…