An Independent Operations Consultancy
A field manual for operations in the AI era
The AI era still runs on operations.
Agents amplify whatever operation you already have — including the broken parts. This firm exists to fix the operation first, and to build the systems that think ahead second.
Clark & Medley · Michigan & Colorado · MMXXVI
Chapter I
On what the tools amplify, and what they cannot repair.
Every company is being told to move faster with AI. Almost none are told the truth: agents amplify whatever operation you already have — the good parts and the broken ones, at the same speed.
Put an agent on top of a process nobody understands and you get confusion at scale. Put one on top of an operation that actually works and you get the compounding everyone was promised. The difference is not the model. It is the operation underneath it.
So we work in an unfashionable order: understand the operation, repair it, and only then build the systems that think ahead. It is slower for the first month and faster for every month after.
Chapter II
A key to the work, in three determinations.
Three determinations, taken in order. Skipping ahead is how most AI projects die.
Org charts lie. Process docs lie harder. We map the real operation — the workarounds, the tribal knowledge, the spreadsheet quietly holding it all together — before touching a single tool.
Automation where the work is rote. Agents where the work is judgment-shaped but repeatable. People where it counts. Drawing the boundary between those three is the whole job.
A system nobody uses is a demo. We ship with the teams who will live in it, measure what changed, and stay until the new way is just the way.
Chapter III
Four ways in. One standard: it has to hold.
No. 1 · Diagnostic
Two to three weeks inside your operation. You get a plain-language map of where capacity leaks, what to automate, what to leave alone, and the order to do it in.
Fixed fee · no dependencies created
No. 2 · Systems
AI-assisted workflows that survive contact with real staff and real edge cases — knowledge systems, service operations, decision support. Built to be owned by your team, not rented from us.
Designed & built · handed over
No. 3 · Transitions
M&A integrations, platform migrations, org redesigns — the moments where operations either compound or crack. We have run these at scale and carry the scar tissue so you don't have to earn it.
Run at scale · scar tissue included
No. 4 · Leadership
A senior operator in the room for the season you need one — building the team, the cadence, and the systems, then handing you the keys.
Seasonal · keys handed over
Chapter IV
Look first. Then build.
Every engagement starts small and honest, and earns its way to the build.
| Stage | Observation | Terms |
|---|---|---|
| First |
The assessmentShort, fixed-fee, and honest. If the answer is "you don't need us," that's the report. Roughly a third of assessments end exactly there — which is why the other two-thirds trust what comes next. |
2–3 weeks fixed fee |
| Second |
The buildA scoped engagement against the assessment's plan — systems built, workflows shipped, teams trained. Success is measured in your metrics, and the exit is designed in from day one. |
Scoped outcome-priced |
Chapter V
Iron outside. Goose inside.
A brant is a small, unglamorous goose that breeds in the high Arctic and flies storm coasts every year to get home — no drama, no missed years.
For centuries nobody could find its nests, so Europeans decided the birds must hatch from barnacles. It persisted anyway.
That's the standard here: iron discipline in the work, and the refusal to take ourselves too seriously while doing it. The companies that get through interesting times tend to run on both.
And when the watchdogs of Rome slept through the raid of 390 BC, the geese didn't. Rome kept the geese. Why we keep one on the letterhead.
Chapter VI
Run by operators, not a deck.
Ironbrant is Clayton Clark and Will Medley — equal partners who spent years running the operation before advising on anyone else's.
Operations · Michigan
Fourteen years leading operations in online higher education, through five corporate iterations, two major M&A integrations, and the merger that formed the largest OPM in the country. A 150-person organization supporting 825,000+ students across 125+ universities. $3.3MM in annualized cost reduction.
His teams became their company's heaviest AI users because the systems were built around the work, not the other way around. More at claytonmilesclark.com — including the recipes.
Process · Colorado
Business operations leader in data strategy and process optimization at scale, most recently directing process optimization for one of the largest companies in online higher education. PMP-certified, AI-business-strategy trained, and constitutionally incapable of leaving a broken workflow alone.
His standing warning: if your workflow looks at him funny, he will try to automate it.
The consultancy exists because most companies don't need a bigger platform or a louder AI strategy. They need people who have run the operation, know what breaks, and can build the version that doesn't.
Chapter VII
One email is enough.
Bring the problem. We'll bring the iron.
Tell us what's slow, what's breaking, or what you've been told AI will fix. You'll get a straight read on whether we can help — and a straight no if we can't.