Stop funding the current path. You receive the evidence, termination criteria, and a capital-reallocation recommendation.
Know whether your AI pilot is ready to ship, needs a fix, or should stop.
Depilot reviews one high-stakes AI pilot or agent, finds the first production bottleneck, and gives your leadership team a written kill, fix, or scale decision in 2-3 weeks - with the evaluation, release, ownership, human-control, and kill-switch gates required to move forward.
Independent diagnosis and decision architecture. Your team or implementation partner owns the build.
For PE-backed and mid-market companies with funded pilots stuck before production, and Series B-D product teams preparing customer-facing agents. Not for idea-stage teams or buyers seeking a development shop.
One pilot.
Seen end to end.
Not another strategy deck. A focused review of one built, funded pilot across value, evaluation, release, ownership, control, and recovery.
The model is rarely the whole problem.
AI pilots stall when the surrounding system cannot support a production decision: the data is not trustworthy, evaluation does not match the real workflow, ownership is split, human intervention is undefined, or nobody has agreed on the threshold for launch or shutdown.
Depilot stops at the first failed gate. That is usually faster and more useful than adding another model, vendor, or prototype.
Kill. Fix. Or scale.
A written decision, the evidence behind it, and the next gates. No implementation pitch attached.
Correct the first failed gate before adding scope. You receive the required changes and the acceptance criteria your team or partner must meet.
Proceed with explicit limits: release thresholds, ownership model, monitoring plan, escalation path, rollback rules, and a kill switch.
Ready means something precise.
Each gate names the evidence required and the condition that stops release. See how the review specifies every gate.
Pilot-to-Production Decision Review.
A fixed-fee, 2-3 week review of one AI pilot or agent with a real executive decision attached.
- a written kill, fix, or scale verdict
- the first failed production gate and the evidence behind it
- a business and technical bottleneck map
- specifications for evaluation, release, human escalation, rollback, and kill-switch gates
- a 90-day recommendation and executive readout
- a development team
- open-ended transformation consulting
- system implementation or ongoing operations
- a recommendation biased toward more build work
"The model works" is not the same as the system is ready.
Jay Sharma built the evaluation and launch-governance system for AI products serving 300M+ users at Indeed, led a 100+ person product and engineering organization at Amazon Canada, and has shipped consequential marketplace, decision, and agentic systems.
Why pilots fail before production.
One failure mechanism per note: what it looks like, what it costs, and the evidence that would change the decision.
The metric improved. The outcome didn't.
Offline accuracy can rise for quarters while the business result stays flat.
ReachThe demo works because nobody gave it system access.
A sandbox demo proves the model can talk about the work, not that the system can do it.
OwnerThe pilot has five owners, so it has none.
Shared enthusiasm at launch becomes shared blame later, and the decision never lands.
Bring one pilot.
Leave with a decision.
In 30 minutes, we identify the decision your team is avoiding and test the five production gates. If a full review is useful, you leave with a clear scope. If it is not, I will say so.
Book a private pilot triage