It starts in one chat history.
The best proposal prompt in the business sits in one person's AI until someone thinks to ask for it.
Shared AI skills
We write down how your best people do a job, then share it as a skill your whole team's AI can run.
BeforeToday: everyone has their own
Every copy drifts a little further from the original.
AfterWith one shared library
A shared library where the whole team can find every approved skill.
The problem
The best proposal prompt in the business sits in one person's AI until someone thinks to ask for it.
When the due diligence steps change, half the team keeps running the old copy.
The same board pack comes out differently every time someone else runs it.
How it works
We record the steps, templates and checks for one job, like a proposal or onboarding a client.
Once an admin approves it, the whole team can run it.
Going company-wide takes a second approval.
You can see which skills get run and which sit idle.
Skills are plain text, so there's no new software for your team to learn.
What you get
Approved skills show up inside each person's own AI, from proposals to onboarding checklists.
Each skill has one person responsible for keeping it right.
Update it once and the whole team has the new version.
When someone leaves, the way they did the job stays behind.
What it costs
We'll ask which jobs you want covered first, and how many teams need them.
Scoped on a call
Your tools, your files
We work in your subscriptions and systems, so we don't need accounts of our own.
What we build stays in your accounts after hand-over, and it runs without needing us.
If the AI your team uses now can do the job, we'll build on it instead of adding another.
We check what's feasible at the Audit, then test it again in your setup at hand-over.
The path
Start with the Audit and build what's at the top of the list. The AI Care Plan takes over from there.
We'll talk through which skills are worth sharing first, and whether the Audit is the place to start.