We embed with each of your teams while they do their actual work, then hand you a written plan with costs, dates, and the numbers we'll be measured on. Two to three weeks, and nothing in it we didn't watch happen.
You know AI should be doing more for your business, but the landscape is noise. Every vendor has a pitch. Your team has run a few pilots that impressed everyone in the demo and changed nothing in the P&L. Meanwhile the tools your people actually use every day are the same ones they used two years ago. What you're missing isn't enthusiasm. It's a clear-eyed read of which workflows are worth automating, which ones aren't, what each will cost, and what order to do them in. Most consultancies will sell you a strategy and disappear before anything ships.
We embed with the people doing the work, department by department, and watch how it actually gets done. Sales, service, support, and admin each run differently. Interviews get you the official version of a process. Sitting in the seat gets you the real one, and the gap between them is usually where the hours are.
Every candidate workflow gets scored on volume, hours consumed, error cost, and technical difficulty. You see the honest ranking, including the workflows we recommend leaving alone because the payback isn't there.
Before anything gets built, we write down where you are today: how long the work takes, what it costs, how often it goes wrong. Without that number there's no way to prove the return later, and most AI projects quietly skip this step.
You get a phased plan: what gets built, in what order, what it costs, what it returns, and what has to be true for each phase to start. Concrete enough to execute against, whether you build it with us or not.