Pilot Rescue Sprint
A recovery package for stalled AI pilots that need simplification, sharper controls, and a realistic path to deployment before confidence drops further.
View packageThe Brief
What landed on our desk
Context: The team had already spent time and budget. Stakeholders were restless, the scope had drifted, and nobody could clearly state which part of the pilot was meant to survive into production.
The real problem: Left alone, the pilot would become one more expensive proof point that 'AI is interesting but not ready.' The real problem was not model quality alone. It was muddled scope, weak acceptance criteria, and too many moving parts for one workflow to earn trust.
Lines of Inquiry
How we worked the case
- We treated the pilot like a scene to be reconstructed: what users actually touched, where confidence dropped, and which outputs mattered enough to keep.
- We cut non-essential features, reset success criteria around one deployable use case, and made the review path explicit so operators knew when to trust, edit, or escalate.
- We then focused the build on practical movement: cleaner inputs, clearer controls, and a tighter path from test environment to governed rollout.
Closed Loop
What changed once the facts were in
- Stakeholders could finally see what the pilot was for, what was being dropped, and what would count as a successful next release.
- The workstream regained credibility because the team was shipping against a narrower, more defensible target.
- Instead of another wandering prototype, the client had a usable path to deployment and a cleaner commercial story around it.
Engagement Shape
Which package fit the case
Embedded Rapid Build Package
An embedded delivery package for primes that need specialist AI execution under their umbrella to ship a practical workflow or feature on a tight timeline.
View packageOpen a Case
If a pilot is technically alive but commercially dying, rescope around one credible workflow and make the operating controls visible fast.
Share the workstream, pressure point, and timeline. We will come back with a scoped recommendation within one business day.