← Problems we solve
Stuck in endless AI pilots.
If your AI demos look great but never make it into production, you don’t have a technology problem. You have an operating-model problem.
In 2–3 weeks, you’ll know which pilots to kill, fix, or scale — and what each is worth.
Apply To Work With Us →Lots of pilots. Almost nothing in production.
What this looks like in your world
- +10+ “experiments” across teams, none fully in production.
- +Licenses rolled out to everyone, but daily usage stuck at a fraction of that.
- +Nice slideware, no measurable EBITDA.
- +Shadow AI and tool sprawl — nobody owns the result.
Experiments everywhere, production nowhere.
Why pilots stall
- +Pilots run on clean data, isolated stacks, and hero teams.
- +Production needs infrastructure, integration, governance, and change management.
- +No clear owner, no payback window, no go/no-go criteria.
Pilots run on clean data; production doesn’t.
Where AI has to work to create EBITDA
1
Built for real workflows
Designed for messy, real operations — not clean sandbox demos.
2
Measured on business metrics
Cycle time, error rate, throughput, and margin — not “model accuracy.”
3
Tied to the P&L
Anchored to a specific P&L line and a defined payback period.
How the EBITDA Impact Map breaks the pilot loop
- +Inventory every pilot and AI tool.
- +Quantify cost, intended outcome, and real impact.
- +Rank 3–5 plays with expected EBITDA impact, payback window, and the infra, data, and talent changes each requires.
Clear recommendations on every one: kill, fix, or scale.
Every pilot ranked: kill, fix, or scale.
Start with the Map
If you’re pilot-rich and impact-poor, start with the Map.
The EBITDA Impact Map turns a pile of stalled pilots into a ranked plan — what to kill, what to fix, and what to scale into production with a payback window attached.
Apply To Work With Us →Five minutes to apply. If you’re a fit, you’ll book a call. If you’re not, we’ll tell you why — same day.