The assistant is built. It's deployed. It works.
And nobody is using it.
This is the most frustrating outcome in an AI assistant project, and it's more common than anyone admits. Teams assume that a good product will be adopted because it's good. But adoption doesn't happen automatically. It has to be designed.
Don't launch to the whole team at once
The instinct is to deploy to everyone simultaneously — maximum impact, everyone starts at the same time. In practice, this creates a support burden you can't handle and a first-impression problem you can't recover from.
Instead, launch to a small group first. Choose people who are curious about AI, willing to give feedback, and influential with their colleagues. When the rest of the team sees early adopters using the assistant productively, they come in with a very different attitude.
Show, don't explain
Most onboarding sessions spend too much time explaining what the assistant can do and not enough time showing it being used on real work.
We run onboarding sessions structured around tasks the team actually does. We open a real ticket, use the assistant to triage it, draft a reply, and handle a follow-up — all live, in front of the team. Then we let team members try it themselves, with us in the room.
Twenty minutes of doing beats sixty minutes of explaining.
Build a prompt library from day one
One of the biggest friction points in early adoption is not knowing how to ask the assistant for what you need. We build a simple prompt library as part of every deployment: ten to fifteen example prompts for the most common tasks, with notes on what they produce. This gives new users a starting point and reduces the trial-and-error period significantly.
Stay close for the first two weeks
The period immediately after deployment is when habits form. If the assistant is difficult in the first two weeks, most users won't give it a third week.
We stay involved after deployment — available for questions, monitoring usage, making refinements in real time. The assistant isn't finished when it's built. It's finished when the team is using it confidently.
That takes two weeks, not two days. Plan for it.