Find the AI workflow worth shipping next.
In 45 minutes with a senior architect, you leave with three ranked workflows, the risks that stop them, and a fixed-price plan to prove the first one in 21 days.
Free, and 45 minutes · An architect runs it · No slide deck
Three ways the work is already costing you
Every review we run starts in one of these three places.
The pilot that never shipped
A demo impressed the room. It never reached production, because nobody owned the integration, the evaluation, or the failure cases.
The work nobody counts
People retype the same context, rewrite the same answer, and rebuild the same summary. The cost is real and it is not on any dashboard.
The assistant that guesses
A tool sits beside the work with no access to your data. Every answer needs checking, and checking costs more than doing.
Who we take on
This is for you if
- You run 20 to 500 people, and a repeated decision eats your team's week.
- The data that decision needs already sits in a system you control.
- You can name the metric that has to move.
- Somebody on your side will own the workflow after it launches.
This is not for you if
- You want a chatbot demo for a board meeting.
- You cannot get access to your own data.
- You want a model trained from scratch.
- Nobody will own the result once we leave.
Four steps, and you can stop after any of them
Each step earns the next one. You can stop after any of them. You own the code either way.
Workflow Review
45 minutes · Free
Three ranked workflows, the data and governance risks, and a fixed-price proof scope.
Feasibility Proof
21 days · Fixed price
A working result on your real data, a benchmark, a named failure list, and a go or no-go recommendation.
Production Sprint
30 days · Fixed scope
One governed workflow live inside the systems your team already uses, with the metric measured from week one.
Operate
Monthly · Recurring
We watch the metric, retune the workflow, and report what changed and why.
What you leave the AI Workflow Review with
45 minutes, run by a senior architect, not a salesperson. You keep all three whether or not you buy anything.
The workflow worth building first
Ranked against the data you actually hold today, not the data you wish you had.
The honest risk list
Where the data is thin, where governance blocks you, and where a model still fails.
A 21-day proof scope
Fixed price, fixed deliverables, and the one decision the proof will answer.
Free, and 45 minutes · An architect runs it · No slide deck
We ship the thing we sell
We are not a slide-deck agency. We build and operate our own production AI system, in the open, and you can read every line of it before you talk to us.
A real agent runtime, not a demo
A research agent that reads, enriches, and writes back into a working system. It runs on a schedule and it recovers when a step fails.
A human approves what it changes
Every change an agent proposes passes an approval gate before it touches a record. That gate is the reason the workflow is allowed near production.
Durable workflows, not fire and forget
Long jobs survive a restart. A crashed step resumes instead of silently losing the work, which is what separates a pilot from an operation.
Immutable deploys we run ourselves
Every release is a pinned image, built once and promoted. We operate the infrastructure, so we know what it costs to keep a workflow alive.
Open source, MIT licensed
The code is public. Read the approval gate and the agent loop before you decide whether we know what we are doing.
The questions everyone asks
Book the review
Four questions, about two minutes. They decide whether the call is worth your time, and an architect answers within one business day.
Free, and 45 minutes · An architect runs it · No slide deck