Organisational AI Helper
The right AI skills on every machine, a clear view of how they’re used, and a safe way for anyone to ship what they build, through your own approval process.
In production · Annual licence, free to clients · Works with Claude
Shared skills
A shared library of AI skills, kept in sync on every person’s machine. Anyone can share a skill they’ve built or send a change back for review, and approval follows your own policy.
Fleet
Every machine checks in with the names of the skills it holds, never their contents. See who is active, which skills have been changed or kept private, and act on it.
Artifacts
Pages, tools and workflows people create with AI can go on your intranet or public website. Each one is checked, submitted for review, and only goes live once someone approves it.
Projects
Larger apps built with tools such as v0, Lovable, Replit or Netlify can run inside your network. They’re checked for credentials, packaged for your infrastructure and built by your pipeline, so staff can ship without a separate engineering project.
One home for the AI skills your organisation relies on.
The skills every machine must have, installed automatically.
Approved versions that local edits can’t override.
Changes and new skills reviewed under your own policy.
Every machine, the skills it holds and what has changed.
AI-made pages and tools on your intranet or website.
AI-built apps running on your own infrastructure.
Ask Claude to share a skill, publish a page or ship an app, without opening the app.
Sales, engineering and every other team get their own skills, alongside the ones everyone needs.
How people use AI across the business, which skills run and how much, in the AI Performance Console.
The same app collects Developer Insights data from engineers’ machines.
Support for assistants beyond Claude, such as Codex.
Skills and fleet
Each machine connects to your shared skills library and starts reporting to the fleet view. Run it yourselves, or have us configure it and build your first skills with you.
Artifacts and projects
Publishing to your own infrastructure needs hosting and a deployment pipeline inside your network. We work with your IT team to put it in place, with the security controls your organisation requires.
More on implementing AIAI performance
In productionReal-time performance observability for the AI you run in production.
Engineering insights
In betaSee how your engineering teams actually use AI.
Compliance and risk
In pilotA System One AI model, built specifically for compliance, risk and audit teams.
Product delivery
In developmentWhere product owners, stakeholders and AI agents shape and ship software together.
Documentation
In developmentDocumentation that writes itself, and keeps itself up to date.
Talk to us about rolling out AI Helper, from your first shared skills to publishing on your own infrastructure.