Distribute AI to your team, safely.
Package your team's best AI work once and hand it to everyone. Each person gets exactly what they're assigned — with identity, permissions and audit built in.
- The problem
Your best AI work is on somebody's laptop.
One person on your team has worked out how to do something properly. They have built the skill, wired up the tools, tuned the prompt until it is genuinely good. It runs on their machine and nowhere else, and the organisation has no idea it exists.
- Discovery
A scan finds it, and finds who built it.
The scan reads what is actually on the machines rather than asking people to report it, because the people building the most interesting things are rarely the ones filling in forms. Every finding comes back with a name against it.
- Publish
Work with them to publish the best ones.
Most of what is on that machine is fine and belongs where it is. Usually one thing is genuinely better than how everyone else is doing it. You go to the person who built it and package that, once, with its tools, context and permissions attached, and versioned so it can be improved later.
- Distribute
Then distribute it to who needs it.
The package lands on every desk it should, scoped to the role, ready to run. No copying files, no setup, no asking the person who built it to explain it again. One person's best week becomes the whole team's baseline.
- Govern
And all of it inside the necessary controls.
Every call it makes is decided against your rules, recorded with the reason attached, and metered so you know what the work costs. The controls arrive with the capability rather than standing between people and it, which is the only version anyone actually keeps using.
The tools to supercharge your team, with the controls already in place.
The scan is what makes distribution possible. The gateway is what makes the audit log complete. The audit log is what makes handing people more AI defensible. Bought separately these are a dozen tools to reconcile; here they are one path.
Capabilities do not carry a provider. The rules engine does not care which one produced the event. The gateway routes to whatever your people are allowed to use. Switching model is a decision about cost and quality, not a migration.
Claude
ChatGPT
Gemini
Llama
Mistral
DeepSeek
Qwen
GrokStart with the insights.
Know who is using AI and how deeply, who are your AI champions, what skills and MCP servers are hidden on laptops, and what risks you're exposed to.
We will send you the full example report.It's about measurable return, not just software.
A forward-deployed engineer and our founders work alongside your team until there is measurable return.
- 01
We set it up
Scan your machines, connect the APIs, inventory everything.
- 02
We walk the report with you
What it says, and what is worth doing first.
- 03
We package it with your champions
Their best work, turned into something the team can run.
- 04
We pilot one team, then widen
Measured against how they worked before. If it does not move, we say so.