Problems we take on
Most arrive as one problem and turn out to be another.
Discovery is where we find out which, before anything is built.
An AI pilot that never reached the work
It worked in the demo. In daily use it needs clean data, controls, and a way to tell whether it helps.
Data too messy for AI or automation to use
The same product, customer or term named three ways in three systems, so nothing downstream can trust it.
An AI section in a security questionnaire
A buyer wants to know how you use AI and handle their data, and a deal waits on the answer. We prepare the documentation and the controls behind it.
Staff using AI nobody approved
Customer data going into tools nobody chose. What works is approved tools people want to use, a policy they can follow, and training.
Dashboards that disagree
Two reports, two numbers, and a meeting spent on which one is right instead of what to do.
Systems and spreadsheets the business has outgrown
Orders typed in twice, quotes built by hand, and a spreadsheet only one person understands.
How it runs
- Ask
- A short message about a problem. Not a pitch.
- Listen
- A 15-minute call to learn the shape of the business and give an estimate.
- Discover
- Paid research on your behalf, starting with your buyers.
- Decide
- We name the real problem, weigh the options, and record each decision with its reasons.
- Build
- Whatever fixes it: an app, an Airtable base, an automation, a map of how the work should run.
- Hand over
- You get the working system, the decision record, and people trained to run it.
You can stop after any step. A person makes every decision that matters.
What you keep
The system
You own it outright. Nothing locks you in, and nothing renews by default.
The reasons
A record of what was decided and why, so you can keep deciding the same way.
The people
Someone on your side, trained to run it without us.
What we refuse
- Building before the problem is known.Discovery comes first, and it is paid.
- Lock-in.Nothing you must keep paying us for in order to keep working.
- Reusing your data or your edge.We reuse general patterns only.
- Becoming a queue of requests.We sell judgment, not spare capacity.
- Recommending a tool because it benefits us.We stay vendor-neutral.
Start with the problem.
Write a few lines about what keeps breaking. If it's worth 15 minutes, we'll reply with three times to talk.