Seats bought, nobody logging in
Six weeks after a company-wide license, usage sits with four enthusiasts. Adoption work finds the two workflows worth changing first and rebuilds them with the team that owns them.
AI Adoption and Change Management
Most rollouts stall because nobody's job changed. The software arrived, the seats were assigned, and the process on either side of the new tool stayed exactly as it was, so using it became an extra step rather than a shorter path.
Adoption work starts at the handoff: the moment where one person finishes and another begins, which is where the old process and the new tool disagree. We rewrite that part with the team, decide out loud where human judgment stays, and let the tool have the rest.
Every team gets a champion, someone in the room who knows more than the others and is happy to be asked. Questions then get asked of a colleague at the next desk instead of a vendor on a ticket, which is the difference between a tool people use in week six and one they quietly abandon.
// what you get
What's included.
- Workflow redesign: what the person does now, what the tool does after, where the judgment stays
- A champion identified and coached on each team
- Prompt libraries written against your documents and your real tasks, not generic examples
- Rollout sequencing, so the team most likely to succeed goes first and becomes the proof
- Usage review after launch, with the honest read on which parts are not being touched
- Ongoing advisory as the tools change, which they do monthly
// where it fits
The situations this is usually bought for.
A team that thinks the tool is coming for their jobs
Fear reads as apathy. The work here is naming what stays human, in writing, and being specific enough about it that people believe it.
Two departments using the same tool completely differently
One is getting real value and one is not, and nobody has compared them. We document what the first team does and turn it into the practice the second one adopts.
// usually bought with
- AI TrainingHands-on sessions run against your documents and the work your team does on a Tuesday.
- AI Readiness and RoadmapFind out which parts of your operation AI pays for, and in what order to build them.
- AI GovernanceA usage policy, data handling rules, and guardrails your staff can actually follow.
// say hello
Tell us what you are trying to fix.
Discovery calls are free and usually last 30 minutes. We listen first, and we will tell you honestly if ai adoption and change management is the wrong thing to spend money on.