Your team, trained to run it.
The build is half the job. We teach your people to use, trust, and steer what we made, so it becomes a habit instead of a project.
Most AI rollouts stall for one reason: the tool works, but nobody on the team owns it. Enablement is not a slide deck at the end. It is short, hands-on sessions built around each role's real work, a written playbook the team helps write, and a named champion who keeps it alive after we step back.
How it runs
The agent sits between your signals and your actions.
arthat / enablement-plan- 01
Map roles
Who does what, and what changes.
- 02
Role sessions
Hands on, on live work.
Stack:
Slack
Notion - 03
Playbook
Written in your team's words.
Stack:Notion - 04
Clinics
Weeks two and six, then hand-off.
How we work
Four phases. Nothing hidden.
Who touches the workflow, what they do today, what changes for them. Usually three to five roles.
Sixty to ninety minutes, hands on, on their real queue. We watch where they hesitate and fix the workflow, not just the training.
Together with the champion. Short, specific, screenshots of your tools. It reads like your team, not like us.
Two follow-up clinics, then the champion runs onboarding for anyone new. We stay one message away.
What we automate
Here’s what usually lives inside an engagement.
- Role-specific working sessions using your live data, not samples
- A plain-language playbook written with your team, in their words
- An internal champion programme: one person per team who owns adoption
- Leadership briefing: what changed, what to measure, what to expect
- Trust calibration: when to accept the AI's output, when to override, when to escalate
- Follow-up clinics in weeks two and six to catch what the first session missed
Typical outcomes
What this changes
Typical role session. Hands on, on real work
Follow-up clinics included in every rollout
Named per team. Owns adoption after we step back
Usage reported so you know it is a habit, not a hope
Audience
Who this is for
Owners who have watched a pilot die
The last tool worked in the demo and vanished by month two. You want this one to stick.
Team leads with non-technical staff
Your people are good at their jobs, not at prompting. Training has to meet them where they are.
Ops managers inheriting an AI system
Something was built before you arrived. Nobody can explain it. You need it documented and owned.
Tool stack
Built on the tools you already use
We build on the tools your team already uses — no rip-and-replace.
NotionSlack
Google Drive
Gmail
OpenAI
AnthropicComparison
How we're different
Proof
Work we've shipped
FAQ
Questions we get a lot
More services
Keep exploring.
Ready to make AI part of how your business works?
Book a 30-minute discovery call. We’ll listen, tell you where AI pays off first, and be honest if it doesn’t.