We find where AI moves your business forward — then we build it.
No workshops, no maturity models, no forty-slide readouts. One day inside your business, then a plan specific enough that someone could build from it tomorrow.
Four steps, in order.
Each step produces something concrete. You can stop after any of them.
On-site baseline analysis
We come to your business and watch it work. We walk the operation, sit with the people doing the job, and map how information and decisions actually move — including the spreadsheets, group chats, and workarounds nobody documents.
- Workflow mapping across the departments that matter
- Interviews with the people closest to the work
- An inventory of the systems you already pay for
- Where time, rework, and handoff friction actually accumulate
AI opportunity plan
We take what we saw and work out where agentic AI produces a return you can measure. Every opportunity gets ranked by impact against effort — and anything that would be a bad fit gets written down as a bad fit.
- Opportunities ranked by hours saved, errors avoided, revenue unlocked
- Effort and risk estimated for each
- Explicit "do not automate this" list
- Sequenced so early wins fund the later work
Report + implementation guide
We present the findings and hand over a written report with a step-by-step implementation guide: what to build, in what order, with what tools, and how to tell whether it worked. It is yours — build it in-house, hand it to another vendor, or shelve it.
- Written report of findings and recommendations
- Concrete implementation guide, not a slide deck
- Tooling choices with reasoning, so you can dissent
- Success measures defined before anything gets built
We build it — if you want
If you would rather not staff this yourself, we quote the implementation from the same guide we just handed you. Same team, same tooling we use on our own products, delivered in reviewable increments.
- Fixed-scope quote drawn from the guide you already have
- Built with the agent tooling we run in production
- Delivered in increments you can inspect and reverse
- Handover and training so your team owns it afterwards
We run our own agents in production.
Most firms recommending agentic AI have never had to keep an agent running past the demo. We ship two OpenClaw plugins used by real teams every day — so our recommendations carry the scars of maintaining them.
Opinionated, because we pay for it
We have already made the expensive mistakes on our own products. You get the conclusions without the tuition.
Reversible by default
Everything we recommend is git-tracked and reviewable. If a change makes things worse, you can see exactly what to undo.
No lock-in on the plan
The implementation guide is yours whether or not you hire us to build it. We would rather be chosen than depended upon.
Built for the people doing the work
Agents that nobody on the floor will use are worth nothing. We design around the humans who have to live with them.
Quoted to your business, not a package.
A three-person shop and a two-hundred-person operation do not need the same engagement, so we do not price them the same way. We scope after we have seen the place.
What does the assessment cost?
We quote it after a short call, based on the size of the operation and how many sites we need to visit.
What does implementation cost?
Your report includes a fixed-scope price for building what we recommend. No hourly surprises.
What if we build it ourselves?
Then you build it yourself. The guide is written to be handed to any competent team, including your own.