Commission

AI brought into production the way a plant brings a new line online.

In heavy industry, you don't bolt a new machine to the floor and flip the switch. You commission it: factory acceptance tests, site acceptance tests, staged load, defined tolerances, sign-offs at every gate. Nobody calls that slow. They call it how you avoid burning the plant down.

That's how AI enters your business here. Commission is agents and automation built on the seams Retrofit cut, measured against outcomes you named before we wrote a line, brought to full load only as the numbers earn it.

When you're ready for this

Commission has prerequisites, and we hold to them. That's most of its value:

• The target systems score well on the Survey, or Retrofit has brought them there.
• There's a seam to attach to: a documented, machine-operable interface, not a screen to scrape.
• Leadership can finish this sentence: "This succeeds if ___ changes by ___." If nobody can, we run that workshop first. It's a day, and it prevents the pilot graveyard.

If a vendor tells you none of that is necessary, ask them what happens to the 80% of AI initiatives that never reach production. That's what happens.

What we build

Not chatbots for the sake of chatbots. The highest-return AI in a mid-market operation is usually invisible:

Workflow agents. The swivel-chair work the Survey found is handled by agents operating your systems through their seams: re-keying between systems, reconciling documents, triaging inbound requests, with every action logged and reversible.

Decision support with receipts. Summaries, drafts, classifications, and recommendations delivered inside the tools your people already use, always with sources shown, never as oracle pronouncements a person can't check.

Document and data pipelines. Extraction, normalization, and routing of the paper that clogs operations: orders, invoices, specs, contracts, compliance filings.

Constraint and scheduling automation. Where the problem is genuinely hard, such as allocation, scheduling, or matching, we pair AI with real optimization methods instead of asking a language model to do arithmetic and hoping.

The commissioning discipline

This is the part that separates production AI from demos:

Outcomes named first. Every project starts with the number it's supposed to move and the baseline it's measured against. If we can't measure it, we don't build it.

Acceptance before load. Every agent passes evaluation suites against real cases from your operation before it touches production, and keeps passing them on every change, forever. The evals are yours and they outlive us.

Staged authority. New automation starts in shadow mode, proposing while people decide. Authority expands only as accuracy is demonstrated, one gate at a time. Full autonomy is earned, and some workflows correctly never get there.

A person owns every output. AI here has the authority of a competent new hire: it does real work, and a named human is accountable for it. Where it's confident it acts; where it isn't, it escalates. Knowing the difference is a requirement we test, not a hope.

Rollback is a feature. Every agent can be dialed down or switched off in minutes without disturbing the system underneath, because it operates through seams, not surgery.

Model-agnostic by design. Providers leapfrog each other every quarter. Everything we commission sits behind an abstraction that lets you switch models as the market moves: no rewrites, no ransom.

What you get

Production agents with their evaluation suites, dashboards showing the outcome metrics you named, runbooks and escalation procedures your operators own, and a team that has watched authority get granted gate by gate, so they trust the automation for the sound reason that they've seen it earn it.

How engagements run

Per-workflow fixed scope: definition and baseline, evaluation build, shadow mode, staged rollout, sign-off. Most workflows commission in four to eight weeks. The first is chosen deliberately small and measurable: the win that makes the second one easy to fund.

Questions you're probably asking

"Is this about replacing our people?" It's about the re-keying, reconciling, and chasing that your people were never the right tool for. In shops like yours the constraint is almost never headcount. It's throughput, backlog, and the errors that leak through when everyone's slammed. Commission moves those numbers. What your people do with the recovered hours is a management decision, not a software one.

"What about hallucinations?" Contained by architecture, not by hoping the model improves. Agents act only through contracted seams with validated inputs and outputs, evaluation suites catch regressions before production does, and staged authority means a wrong answer in shadow mode costs a correction, not a shipment.

"Which AI vendor are you betting on?" None. See model-agnostic, above. Our bet is on the discipline, which doesn't expire.

"Can we skip Survey and Retrofit and start here?" If your systems already have clean, documented, machine-operable seams, yes, and we'll verify that quickly. If they don't, commissioning onto them just automates the mess at higher speed. We'll tell you which is true in the scoping call, and it costs nothing to ask.

Named outcomes. Staged authority. Numbers or it didn't happen.