Start with one thing that works.
Most AI projects stall because they start too big. We pick one piece of work your team does every week, make it faster and more accurate with AI, and prove it in numbers before anything else gets built.
1How it works
Four phases. You decide at the end of each one.
Your first use case live in about 90 days.
You never sign up for more than the next phase. Each one has its own scope and price, and ends with a plain recommendation from us: keep going, change course, or stop.
- 1Map2–3 weeks
- 2Prove6–8 weeks
- 3Expand2–4 weeks per team
- 4Own30–60 days of tuning
1Map
2–3 weeksFind the work worth doing.
We sit with the people doing the work, whether that's finance, operations, sales, or support. We look at how requests come in, where things wait, what gets copied from one system into another, and which decisions eat up your most expensive people's time. We check whether the data behind each process is good enough to build on, then score every candidate on value, risk, and effort.
We don't start from a blank page. We come in knowing how the work runs in your industry, so the first conversation is “which of these fits us” instead of “what could AI do for us.”
A ranked shortlist with estimated hours saved or dollars protected, build effort, data readiness, and the one we'd build first. Yours to keep whether or not you continue.
2Prove
6–8 weeksBuild the first one for real.
We build the top use case inside your systems, alongside the team who'll use it. Before it goes live, we test the edge cases, the hand-offs, and every point where a person needs to sign off.
Then we measure it against the baseline we set in Map: time per task, error rate, turnaround, or whatever matters most for that work.
A working tool in your team's hands, a before-and-after scorecard, and our honest call on whether it's worth scaling.
3Expand
2–4 weeks per teamRepeat the result across the business.
Once it's proven in one place, we adapt it for other teams, offices, or departments. That means connecting it to their systems, adjusting for how each team works, and training the people who'll run it day to day.
The second rollout reuses the plumbing, the security approvals and the lessons from the first.
The proven result rolled out to each new team, with a named owner on every one.
4Own
30–60 days of tuningHand over the keys, or keep us on.
We watch how the system performs in daily use and tune it as your team finds the cases nobody planned for. Then we hand it over with documentation and training, or you keep us on to run it, month to month.
Runbooks, trained owners, and a clear answer to “who do we call when this needs tuning?”
2On the ground
The people doing the work know where the time goes.
Our AI engineers spend time in your workflows before they write a line of code.
What those people know shapes what we build. Whether they trust it decides if anyone uses it. So they're in the room from the first week, not handed a login at the end.
Knows which reports nobody reads.
Has a workaround for every system.
Approves forty exceptions a week.
3Our principles
The rules we hold ourselves to.
Plan for after the demo.
From the first scope, we plan how the system will be tested, secured, deployed and supported once the demo is over and real work starts flowing through it.
Pick the simplest thing that works.
If a spreadsheet formula, a short script or a setting in software you already pay for solves the problem, that’s what we’ll recommend. When AI is the answer, we use proven models and standard infrastructure, chosen for what it will cost to run in year two. And if the business case doesn’t hold up, we’ll tell you to shrink the scope or walk away.
Price it before we start.
Fixed scope and a fixed price, agreed up front. If something has to change, you hear it from us before it shows up on an invoice, along with the reason.
Name the owner early.
Every system has a person on your side who’s responsible for it, and documentation and training to back them up are part of the price.
Adoption is part of the job.
A tool nobody uses is just another bill. We train your people, write the playbooks, and track usage after launch. If adoption stalls, we find out why and fix it.
Report results in your numbers.
We measure in hours, dollars, turnaround times and error rates your finance team would sign off on.
Work inside your walls. You own what we build.
We build in your environment and follow your security and privacy requirements from day one. The code, the prompts and the configuration are yours.
What's the work your team dreads every week?
The report that takes a full day to build. The inbox nobody can keep up with. The process held together by one person's memory. Tell us about it. We'll tell you whether AI is the right fix and what it would take to get there.