The main deliverable is a short list of your top AI opportunities, ranked by estimated hours saved, cost, and difficulty. That ranking is the point. A flashy idea that saves two hours a month and needs three new systems shouldn't come ahead of a simple fix your team will use every day.
This is where our CFO-led approach shows. Our founder, Rachel Faciana, has spent years running a fractional CFO and accounting firm, so every recommendation is weighed the way a finance leader would weigh it: does it pay for itself in hours saved or costs cut, and will the numbers hold up? If the honest answer is that a simpler, non-AI fix makes more sense, we'll say so. You can read more about how we think about payback in how to measure AI ROI.
Just as important, the assessment is human-first. We look for the repetitive steps AI can take on, so your people have more time for judgment, customers, and the work only they can do. It's about better systems, not fewer people.