Small programs. Outsized return.
Near-zero risk.
You don't need to "adopt AI." You need the three places your week leaks hours to work that a machine can check against objective rules — the packet that bounces for a missing signature, the lead that waits two days, the data typed twice. We drive a wedge into exactly those points. Your people keep every judgment call.
We never automate a judgment call.
Most of your core work needs experienced human judgment — and you're right not to risk it. The win nobody shows you is the narrow wedge: high-frequency friction with objective pass/fail rules. That's where AI is boringly, provably reliable.
Stays human — always
- Pricing decisions and exceptions
- Diagnosis, medical or mechanical
- Claims, credit, and approval calls
- Anything a customer would call "your judgment"
The wedge — objective rules, high frequency
- Is the packet complete before a human reviews it?
- Did the lead get a response inside the hour?
- Does system A match system B, or did re-keying drift?
- Is every required doc in the file before the deadline?
Scoped in days. Live in weeks. Measured for 90.
Pick the wedge
From your assessment roadmap, or a scoping call: which friction point, what it costs you today, and the KPI that proves the fix.
Agree the number
Baseline measured, target set, price fixed — all in writing before you commit a dollar.
Build and train
We build it, wire it into what you already run, write the manual, and train your team at handoff.
Prove it — 30/60/90
Baseline vs. actual, reported at 30, 60, and 90 days. Renewal decisions get made on numbers, not vibes.
Know your wedge already?
Tell us where the week leaks — we'll tell you what the fix costs and what it returns. Not sure where to start? The assessment finds the wedges for you.
Scope a Sprint