AI transformation, in four weeks. Proven every day after.
We send an engineer into your team, ship one AI job into the product, process or system you already run, and leave. What stays is a record your compliance team, your auditor and your board can check any day: what the AI was allowed to do, what it did, and who signed it off.
For regulated businesses. Financial services, healthcare, legal, public sector.
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Built on Google Cloud
Put AI to work. And make sure it's looked after.
Your board wants AI in the product this year, not a pilot that stays a pilot.
Your compliance team wants to know who is accountable for what it does, before it does it.
Your team is already at capacity, and the business case has to travel upward on your name.
Most vendors answer the first line. We answer all three.
In. Build. Leave.
Four weeks, one job, in production.
In. Week one.
We agree the job, what the AI is allowed to do in it, and who signs. Written down before anything runs.
Build. Weeks two to four.
Our engineer works in your codebase next to your developers. The old way and the new way run side by side, so you can see the difference before you rely on it.
Leave. Week four.
The job runs in production. Your team runs it. Every decision the AI makes is still checked against what you allowed, and still recorded. We maintain it if you want us to.
What you keep
- The job, live, in your product.
- The code, assigned to you in writing.
- The record of every decision, replayable any day.
- The check, still running.
Most tools show you what's wrong. AUDITSU lets you prove you're right.
Your AI can propose anything. Only the people you name can make it happen. Every decision is checked against your rules before it takes effect, the check is recorded, and any day you can replay the whole history and get the same answer.
Every decision says who allowed it, on what evidence, and when.
It never goes stale. The check runs on every decision, not once a year.
If anyone changes it later, it shows. Patent pending, UK application GB2620101.2.
In the accessibility product today, nothing a scanner finds reaches your record until a person on your team accepts it. A deployment leaves the check and the record running for your job.
Who's looking after this?
Simon and Jason. You deal with them both, from the first call, and one of them is in your standup.
Simon Milner, Founding Architect
Simon designs the system. Twenty-five years in Silicon Valley building the categories others followed: employee number 30 at MMC Networks, which created the network processor and was acquired for $4.5 billion; nine years as Vice President and General Manager at Marvell Semiconductor; two companies founded and sold. He holds a PhD in digital signal processing, and he is the architect of the record behind every deployment.
Jason Crispin, Founder
Jason leads the company and the customer relationship: what the job is, what it is worth, and that it lands. Multiple startup exits, then twenty years winning and delivering contracts worth £12.3 million a year inside a billion-dollar company. He is on your first call and every one after.
Meet the teamOne record. Every job.
We built an accessibility product and found the thing underneath it was the record: who was allowed to do what, what they did, and proof nobody changed it after. Accessibility is live today and on general sale. The same record carries every job we deploy.
- Your IP, assigned in writing.
- Your repos, your identity provider, access revocable any day.
- Your code never trains a model.
Bring one job.
Thirty minutes with Simon and Jason. You bring the job you've been asked to hand to AI, or the thing you've been asked to prove. You leave knowing what it would take, what you'd keep, and what it costs. If the honest answer is not to use AI for it, we'll say so.
Book a callFour weeks. In production. Proven every day after.
Are you consultants or engineers?
Are you consultants or engineers?
Engineers. The market calls them forward deployed. Ours works in your repositories and ships to production. You are not left with a slide deck.
What happens after the four weeks?
What happens after the four weeks?
The job runs, your team runs it, and the check keeps running on every decision. We maintain it if you ask.
How do we trust AI-written code in production?
How do we trust AI-written code in production?
You don't have to. Nothing the AI proposes takes effect until it passes your rules and a named person signs it off, and your developers review it like any other change.
What does it cost?
What does it cost?
Scoped on the call. The accessibility product has published pricing.