Workflow redesign, automation, and integration built around what you have already invested in. Your ERP, your CRM, your HRIS, your finance stack. A scoped engagement, measured against baselines set on day one.
Your teams already open the same tools every morning. We build AI into those tools rather than adding another one beside them. The systems you have invested in stay the systems of record.
Automating a broken workflow gets you a faster broken workflow. We redesign how the work moves, then automate the parts a machine should own, built alongside the people who do the work today.
Cycle times, error rates, and hours logged before we start. The same numbers tracked while we build and after go-live. The engagement is judged on movement, not on delivery.
The part most AI firms skip. Training built around real work rather than demos. A management cadence that keeps the new workflow the default. And direct attention to the people who resist, because every rollout has them, and they usually carry the most tribal knowledge.
If your team has been burned by a rollout before, no amount of good engineering fixes that. Getting an organization to change how it works is people work. Ten years in HR and executive leadership, accountable for whether change actually held, is why the results are still there long after we leave.
Companies with established systems who are ready to move from AI talk to AI in production. Common in lower middle-market and PE-backed companies where the stack is set and the mandate is to make it work harder.
A scoped engagement against the baselines set on day one. It concludes with your team owning the result. Scoped and priced per engagement, on a call.
No pitch deck. No long intake form. A direct conversation about the systems you have, the work they should be doing, and whether we're the right fit.
Book an intro call