Map
Get a clear picture of your operation — your stack, your tools, your workflows — pinpointing where manual work piles up and where AI creates the most leverage.
- A written audit of your workflows, tools, and where manual work piles up
- A ranked view of where AI creates the most leverage in your operation
- A pilot scope with success metrics agreed before any build starts
Typical timeline2–4 weeks
Domus Property — 6 tools mapped and unified under one command layerRead the case study →
Build
We build the fix as custom software around your real workflows, simulating and testing against real cases before anything touches your customers.
- Working software running against your real cases, not demo data
- Weekly reviews so your team can steer before anything is set in stone
- Simulation and testing against real cases before anything touches your customers
Typical timeline4–8 weeks
EVAL Agencies — inventory operation rebuilt into one central systemRead the case study →
Prove
Every layer is pressure-tested against real metrics and edge cases, with confidence the system keeps learning and improving as your business grows.
- Measured results against the metrics agreed in the map phase
- Edge cases and failure modes pressure-tested and documented
- A clear call on whether to scale, adjust, or stop
Typical timeline2–4 weeks
Glow Saunas — 40 hrs/wk of manual work removed, 5 days off order lead timesRead the case study →
Scale
Extend what works across more workflows, teams, and channels — compounding value wherever your operation needs it.
- Rollout of what works across more workflows, teams, and channels
- Training and handover so your team owns the system day to day
- A system that keeps learning and improving as your business grows
Typical timelineOngoing
On Mane & Better Hair Labs — one clinical platform, two brands — intake cut from days to under 10 minutesRead the case study →