Practice
AI & Automation
Most AI projects disappoint because they start with the model. We start with the process: what is being done by hand, how often, and what it costs. Some of that is a rules problem and should never touch a model. Some of it genuinely needs judgment. The two get different tools.
01What we build
AI solutions
Document understanding, drafting, classification, and assistants grounded in your own data — with a person in the loop wherever being wrong is expensive.
Business automation
Removing repetitive steps between systems and between people: approvals, handoffs, data entry, recurring reports.
Business intelligence
Reporting that answers the questions leadership actually asks, built on numbers everyone agrees on.
02When companies call us
You might need this if
- Someone spends hours each week moving data between two systems.
- You ask for a number and it takes two days to produce.
- Work sits waiting on an approval that is mostly a formality.
- You've been asked what your AI plan is and don't have an answer you believe.
03What changes
Hours returned to the people who were doing the copying.
Fewer errors, because fewer steps are manual.
A clear line between what is automated and what still needs a person.
04Related work
Other practices
Let’s build something that matters.
Thirty minutes. Tell us what’s slowing the business down and we’ll tell you what we’d do about it — whether or not you hire us.