Most AI spend stalls for one reason — tools dropped into messy processes, with no one taught to run them.
Built and deployed production AI inside real operations
Nothing off the shelf does what you need.
A production system, built end to end, handed over running.
A specific process is eating time.
The bottleneck disappears, with clean, structured data underneath that actually holds up.
Your people are capable but stuck.
Your team learns to build and run their own AI tools, using the spend you already have.
Walk the process with your team. See what's actually happening — not what the documentation says. Find where AI creates real leverage and where it doesn't.
Clean and structure the data. Stand up the systems. Build the evals so you know whether it's working. No black boxes. Everything observable, everything testable.
Teach your team to run it, extend it, and know when it's wrong. The goal is your independence.
Financial intelligence — surfaces gross-profit variance across multi-unit operations
Discovery engine — surfaces non-obvious patterns and validates them autonomously
Diligence automation — compresses a multi-day forensic pass to hours
Relationship intelligence — prioritizes highest-leverage actions across the pipeline
I ran operations inside a multi-location business and built production AI systems into it. Real systems in real workflows, running today.
I don't hand you a recommendation. I hand you working systems and the knowledge to keep them working.
Ten years of P&L responsibility across multi-unit operations. Based in the Pacific Northwest.
Every engagement starts with a conversation.