RoBlueprintGuide
How to roll out AI to a small team
If you run a 5-50 person team, the biggest AI risk isn't the technology. It's rolling it out badly - chaos, abandoned tools, and a team that's now skeptical of the next thing you try. Here's the sequence I run with clients.
Step 1 - Map the work, not the tools
Before naming a single product, list the 3-5 workflows that eat the most hours per week. That's your shortlist. Everything else is noise.
Step 2 - Pick one pilot owner
One person, one workflow, two-week pilot. Not a committee. The pilot owner is responsible for adoption, not the consultant or the vendor. Without a name attached, nothing sticks.
Step 3 - Ship something ugly and useful
Don't wait for the perfect UI. A working prompt + a shared doc + a weekly review beats a six-month tool rollout. You're optimizing for learning, not polish.
Step 4 - Measure hours back, then expand
Count the time saved per person per week. Real numbers. Share them. Then - and only then - bring in the next workflow and the next team. Adoption compounds when wins are visible.
Step 5 - Train the team alongside the build
The technology is the easy part. The people are the project. Bake hands-on training into every rollout so your team can extend what gets built after you - or whoever helped - is gone.
What to avoid
- Company-wide AI mandates with no pilot first.
- Buying a platform before you have a workflow it serves.
- Outsourcing adoption to "the AI champion" with no air cover.
- Measuring activity (tool logins) instead of outcomes (hours back).
More guides on the guides index.