How To Choose The Right Ai For Your Team
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The 4-week selection process
Picking AI for a team in 2026 is bigger than picking AI for yourself. The wrong choice locks in seat costs, training overhead, and integration debt for at least a year. Here’s the playbook that gets it right the first time.
Week 1: define the use cases
Survey the team. List the top 5-10 jobs they want AI to do (drafting, coding, research, meetings, customer support, etc). Rank by frequency and impact. Most teams discover 2-3 jobs cover 80% of usage.
Week 2: shortlist 3 candidates
For most teams in 2026, the shortlist is some subset of: ChatGPT Team, Claude Team, Gemini in Workspace (if already on Google), Microsoft 365 Copilot (if already on Microsoft). Don’t boil the ocean — pick 3 max.
Week 3: pilot with 5 people
Get 5 actual users on each of the 3 plans for a week. Have them tackle their real top-3 jobs from the survey. Track time saved, output quality (subjective), and frustration moments.
Week 4: decide + roll out
Pick the winner based on actual data, not vibes. Roll out across the team with a 30-minute kickoff session, a shared prompt library, and one champion per department.
The big-picture defaults
Most teams underestimate adoption: only 30-50% of seats actually use the AI weekly in the first 90 days. Plan training. Pick a champion per team.