Make your AI transition valuable.
For companies of 20–500, we find where AI creates real value, build it with the best tool for the job, and keep it running — with evidence, not promises.
What we do for you
Three capabilities. One goal: make the AI transition valuable for your company — and honest about where it isn't.
Find where AI pays
A whole-business map of where AI raises productivity, expands capability, or gives you transparency into operations — and where it does none of those and should be refused. No vendor pitch: a written recommendation you can act on.
Build it with the best tool
The right tool for the job — our own, open source, or commercial. Hosted tools done right, or a deployed system on your hardware. You accept it mechanically, on your own questions, not ours.
Keep it running
A system that keeps working: updates, eval-on-change, patching, and a monthly written note on what broke and what changed — backed by an evidence discipline that catches what dashboards miss.
How we work
The architecture behind the capabilities — a repeatable method, not a one-off build.
Best tool for the job
Our own software exists to make delivery fast, not to anchor licenses. If open source or commercial SaaS is the right answer — ChatGPT or Claude included — we say so and use it.
Your stack, not ours
Your data, your hardware, your stack. Open-weight models do the work; cloud escalation is cost-controlled, not the default. We do not host your production.
Evidence discipline
Verify live, don't trust reports. Every claim — ours or an agent's — is checked against the running system before it counts. A status line is a claim; only a query against live state is a fact.
Built for failure
GitOps and infrastructure-as-code by default: declarative, versioned, reversible. Designed to degrade safely and recover in dependency order — because the outage that finds your gaps never schedules itself.
We prove it by running it
These capabilities aren't a proposal. We run this architecture ourselves, in production, every day — and the record is public.
The disaster-recovery plan of record is an agent with a recovery skill, not a human runbook — a runbook is useless if the person holding it is asleep.
How to engage
Three fixed offers, one default path.
Assess
A whole-business opportunity map: where AI raises productivity, expands capability, or gives you transparency into operations — and where it does none of those and should be refused. Ends in a written recommendation: buy vs build vs SaaS vs private.
Build
Light: hosted tools done right — policy, SSO, guardrails, real workflows, training. Standard: a deployed system on your hardware. Private stack: our estate pattern, scoped to your use case. Acceptance is mechanical, on your own questions.
Run
Updates, eval-on-change, patching, and a monthly written note on what broke and what changed. The retainer is the business — it is what keeps us on the hook, because we are.
Who you are hiring
- Twenty years in automotive operations — the buyer's world, in the buyer's language.
- Sole architect of the estate above. AI-directed development, verified against live state — and the failures are written down.
- We do not host your production. Your hardware, your data, your stack.