What happens during an audit?
We start by looking at the workflow as it actually exists, not as it looks on paper. That includes the tools people use, the steps they repeat, the documents they create, and the places where work slows down. Then we identify which AI opportunities are realistic. The goal is not to automate everything. The goal is to build a safer, cleaner plan that is Designed to reduce friction, improve documentation, and support better decisions.
What you receive
The audit ends in a written deliverable, not a verbal summary you have to remember.
A friction map. Your workflow drawn as it actually runs, with the delays, the duplicate entry, and the handoffs where work sits waiting marked on it.
A ranked list of AI opportunities. Ordered by effort against payoff, so the cheap wins are obvious and the expensive experiments are labeled as such.
Risk notes in plain English. Privacy, data handling, compliance exposure, and the places where a person needs to stay in the loop — including any point where our honest answer is that automating it would create more risk than it removes.
One pilot recommendation. A single workflow to build first, why that one, and how you would measure whether it actually helped.
Everything after the audit is scoped against that document, which is why a build quote from us means something.