Three things we do. In that order.
Most AI projects stall between the strategy deck and the first working system. We only take on work we can carry all the way through.
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Find where AI pays.
An assessment of your data, your team and your workflows that ends with a ranked list of opportunities and a plain go or no-go on each.
You get a business case for every opportunity, and a plan you can run with us or without us.
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Build it inside your business.
Workflow automation, customer-support assistants, analytics: delivered inside the systems you already run, alongside the people who use them every day.
You get a working system, tested against goals agreed before the work started.
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Run it until the numbers move.
We operate, monitor and tune what we built, and we report against the outcome we agreed, not against activity.
You get a monthly review, a quarterly value report, and a team of your own that can take it over.
What an engagement looks like.
A regional distributor's support desk, and the AI built into it.
An illustrative example. A composite of the kind of work we take on, written to show how an engagement runs; not a named client.
- The situation
- A regional distributor sold industrial supplies to trade customers. Its support desk spent most of every day answering the same questions by phone and email: where is my order, can I return this, what does this part fit. Orders lived in one system, shipping in another, returns in a spreadsheet. Every answer meant three screens and a callback.
- What we found
- The assessment ranked the opportunities. Order-status and returns questions were the clear first case: high volume, plain rules, the data already in the systems the desk used. Two other ideas got a no-go: one because the data was not reliable enough yet, one because the payoff did not justify the change. The client got a business case for each and a plan they could run with us or without us.
- What we built
- An assistant inside the help desk the team already used. It reads the order, shipping and returns records, drafts the reply, and shows its sources; a person on the desk sends it. Nothing was ripped out, and the team kept the last word. The goals were agreed before work started: time to first reply, and the share of routine questions answered without a callback.
- Where it is now
- It runs as a managed service. The desk reviews the assistant's answers monthly with us, the goals are reported against every quarter, and the client's own people are learning to run it.
If that sounds like your operation, that is what the first call is for.
How we work.
Four commitments, written down before the first project so nobody has to argue about them during one.
- One outcome, agreed before work starts.
- Built inside the systems you already run. Nothing ripped out to make room for AI.
- Priced against deliverables wherever the scope allows, not hours.
- A free 30-minute call first. Paid work only if the fit is real.
Ways to work with us
- Assessment
- A fixed-scope look at where AI pays off in your business, ending in ranked opportunities and a pilot recommendation.
- Pilot build
- One well-scoped system, built and running, measured against the goals agreed before it started.
- Managed service
- We run, monitor and improve what we built, with a monthly review and a quarterly value report.
- Advisory retainer
- Monthly strategy sessions, roadmap governance and executive briefings for teams building their own AI fluency.
Who you work with.
A technical partner who architects and builds. A business partner who scopes, prices and keeps the work honest. Both are on every engagement, from the first call to the last report, working from Seattle and Denver.
Book a 30‑minute call.
Tell us what you would want AI to take off your team's plate. No deck, no pitch.
How the free call works
- 30 minutes on the phone about your problem, with a partner, not a salesperson.
- Within a few days, a one-page note: what we would assess, what it would cost, or why we are not the right fit.
- Paid work starts only if you say yes. Nothing is billed for the call or the note.