We find the handful of places AI will actually pay in your business — then build them and make them stick.
Most people we talk to nod at three or four of these.
You’re drowning in repetitive admin — reports, follow-ups, data entry. Work that doesn’t need you, but always lands on you.
You’ve tried ChatGPT. It was neat for a week. Nothing about how your business runs actually changed.
Every new tool is another login, another subscription, another thing your team stops opening after a month.
You’re the bottleneck. Every process routes through your brain, and the business slows down when you do.
You suspect competitors are figuring this out faster — and you don’t have a way to know.
There’s no tech person on staff, and you don’t have time to become one.
Four phases. No six-month engagements. No 80-page strategy decks.
We learn about your business, what you’ve already tried, and where AI could plausibly help. By the end, we both decide whether an audit is the right next step.
Recorded sessions with stakeholders from each line of business — or function-by-function with you. We map every workflow and pressure-test what’s worth building.
Impact-Effort Matrix. Three to seven tool recommendations with cost and setup. A day-by-day plan. Projected hours saved per week.
We screen-share the report, answer everything, and you decide: implement it yourself, or have us build it.
The quadrants get filled with findings from your business — your workflows, your tools, your numbers. No two matrices come out alike.
Real case studies across varied industries.
The finance department’s budget drafting and reporting now runs on systems that learned the accounting director’s rules — about two weeks of work saved every month.
Client requests that used to become hand-built Trello cards now create, assign, and update themselves — the team just works the board.
Meta ads performance across every account, pulled into a single live control panel — reports that took hours now take minutes.
We took over client reporting end to end — and cut thousands of dollars a year in reporting-tool subscriptions along the way.
An automated local-SEO build put a third-generation tile store in front of 73 nearby towns — clicks from local markets up 50%.
Thirty minutes. We learn where time is leaking and what you’ve tried. By the end, we both know whether a full audit makes sense. No pitch deck. If we don’t think it will pay back, we say so.
No. That’s the point. You tell us where the business loses time or money; we figure out whether AI is the fix. If it isn’t, we tell you that too.
That’s normal — most teams start with the wrong use cases or stop at a prototype. The audit maps your actual workflows and points AI only where it pays. The day-by-day plan handles the rest.
They’re built for big companies: six-month engagements, 80-page decks, junior analysts. We map your workflows ourselves, hand you a plan in about three weeks, and run our own businesses on these exact systems.
Then we say so. We’ve said no before. Some problems need better process, not AI. We’re honest about which is which.
The plan is yours either way. Most clients ask us to build it — we scope that together after you’ve seen the report. No pressure in either direction.
We’ll tell you, plainly, where AI will pay and where it won’t. No pitch, no jargon — a real read on your business from people who do this every day.
Rather talk it through? Book a 30-minute call →