A process that respects your time and gets to value fast.
We start by understanding your business — not just the technology. We want to know what your team does every day, where time is lost, what decisions get made slowly, and where mistakes are most costly. Then we look at your data: what you have, where it lives, how reliable it is. This is the step most AI vendors skip — and the reason most AI projects fail.
What We Produce
Your time commitment: 3–4 hours of conversation spread across two weeks
We get to work. Depending on scope, this phase includes connecting and preparing your data sources, designing the agent's knowledge base and decision logic, and building the agent integrated into your existing tools. We work in short cycles and show you progress regularly. No disappearing for six weeks and returning with a surprise.
What We Produce
Your time commitment: 1–2 check-ins per week, plus feedback on test scenarios
We move the agent into production, monitor its performance in the first weeks, and make adjustments based on real-world usage. We also train your team on how to use, prompt, and maintain the agent — in plain language, not technical jargon.
What We Produce
Your time commitment: One team training session (approx. 2 hours)
| Phase | Duration | Your Involvement |
|---|---|---|
| Discovery | 2 weeks | 3–4 hours total |
| Build | 4–6 weeks | 1–2 check-ins/week |
| Deploy & Handoff | 1–2 weeks | Team training session |
| Post-launch support | 30 days | As needed |
Total: 8–10 weeks from first call to production agent
We explain what the agent is doing and why. If something doesn't work the way you hoped, we tell you — and we fix it.
You own what we build. The agent, the data pipelines, the documentation — all of it belongs to your business.
The schedule above is typical. Some projects move faster; some take longer depending on data complexity. We'll tell you early if something is going to shift.
We measure success by whether your team is actually using the agent and getting value from it — not by how impressive the demo looks.
The first step is a 30-minute conversation. We'll give you an honest read on where AI agents can make the biggest difference — and where they can't.