Forward-deployed engineers. We work inside your team.
Someone in finance or operations is going to buy an automation vendor. The question is whether what arrives is documented, reviewable and yours, or whether you meet it at the first incident.
What you're actually buying: Automation inside your governance.
Nobody buys automation. You buy the outcome, and the automation is how we get there. These are the three we'd measure with you.
Nothing lands on you unreviewed
The business gets its automation through IT, with an inventory, owners and monitoring.
Credentials stay yours
Your repositories, your accounts, access revoked on a date you set. No vendor password manager.
Engineers who know the patterns
Two of yours can run, break and repair an agentic system: thresholds, escalation, audit trail, rollback.
The fear you don't say out loud, answered.
I'll inherit something I never reviewed
Procurement happens in a department budget. You own uptime for it anyway.
“Who holds the keys?”
Your repositories, your accounts, your credentials, from the first day of the build.
We operate no platform and host nothing of yours. Access is revoked on a date in the engagement letter; after that we can't reach your systems, and you can verify that.
More of what you're weighing, and what we'd say to each
I'll inherit something I never reviewed
Procurement happens in a department budget. You own uptime for it anyway.
Why that's reasonable: Shadow automation is already accumulating outside your inventory. You're right that the business will automate either way. The real question is whether it goes through you or around you.
Credentials will end up in a vendor's password manager
Service accounts provisioned ad hoc, over-scoped, never rotated.
Why that's reasonable: That's an audit finding waiting to happen, and it's the default for most automation vendors. Refuse it.
This is more surface area for a team already at capacity
Every tool adds integrations, incidents and a support burden you didn't ask for.
Why that's reasonable: You're already the constraint in everyone's roadmap. Anything that adds a platform without a maintenance case is a net loss.
An agent will write to a system of record and I'll find out later
The failure you can't roll back is the one that ends up in a post-mortem with your name on it.
Why that's reasonable: Correct instinct. Direct writes from a model are how you get silent partial success. The architecture has to make that impossible. A policy that only discourages it isn't enough.
“Who holds the keys?”
The answer decides how bad your week is when it breaks.
Your repositories, your accounts, your credentials, from the first day of the build.
We operate no platform and host nothing of yours. Access is revoked on a date in the engagement letter; after that we can't reach your systems, and you can verify that.
“Am I inheriting something undocumented?”
The usual outcome, found six months later.
Docs are written as we build and reviewed by one of your people who wasn't in the build.
If they can't follow it, it isn't finished. We treat that as a hard gate. You also get a decision log: what we rejected and why. That's the document you want at 2am.
“Is this more surface area?”
You already support more than you can.
Deterministic first, and as few new components as the job allows.
We start with capability you already license. Agents never write to your systems directly: they propose, a posting service executes. One choke point, one place to audit, one place to stop it. You hold the veto.
How it goes, from here to ahead of the curve.
Read the method
Failure design, threshold policy and the deterministic-before-agentic argument are published in full. If you disagree with the approach, you'll know before a call.
Thirty minutes, engineer to engineer
Bring the automation the business is about to buy, or the shadow flow you're worried about. We'll walk the architecture and the access model.
The Survey, with IT in the room
Systems audit, an inventory of what already exists, and a roadmap that starts with capability you already license. You set the gates.
Pilot, then Build, inside your process
Our engineers sit in your standup and your review process. Runbooks, monitoring, tested rollback, and two of your people trained to run it. Then we leave on the date you set.
What ahead of the curve looks like from your seat, twelve months on
Inside the company
IT stops being the blocker in someone else's story. Automation is delivered through your function, with an inventory, named owners and monitoring: a stronger position in front of audit.
Against the market
Production experience with agent patterns (thresholds, escalation, audit trails, rollback) is scarce and commands a premium. Teams that can evaluate an AI vendor technically don't get sold to. They buy.
For your team
Engineers stay where they're learning current patterns. Two of yours can now run, break and repair an agentic system, and they learned it inside your own codebase.
Numbers that travel to your CIO or CTO.
Instrument these before the first build so the change is measurable.
| Metric | How to measure it | Who it moves |
|---|---|---|
| Mean time to detect | Minutes from failure to a named person being alerted | CIO, risk |
| Runbook coverage | % of automations with a current runbook and named owner | CIO, audit |
| Shadow-system count | Known automations outside inventory, trending down | Audit, security |
| Operator onboarding time | Hours to competence using documentation alone | CIO, HR |
| Reversibility coverage | % of write paths with a tested rollback | Risk, audit |
Read the method before you talk to us; then bring us the thing you're worried about.
Engineer to engineer. Thirty minutes, no commitment. We keep a handful of slots open each week for people who've scored a process: we'll fit you in.
Thirty minutes. Worst case, you lose half an hour.
Bring one process. You leave knowing which level it's on, what to fix first, and whether it's worth doing anything at all.