00 / AI PILOT RESCUE SPRINT
We turn AI experiments into business systems that actually ship.
You already tried ChatGPT, copilots, agents, and a RAG demo. The pilots worked in the demo and stalled in the business. The Rescue Sprint takes one of them to a measurable production workflow in 2 to 4 weeks.
Fixed scope, fixed timeline, measured against an ROI target you sign off on.
01 / THE PROBLEM
The pilot graveyard
Most companies are past the question of whether AI matters. They bought the tools, ran the experiments, and built the demos. What they don't have is production value: the pilots were vague, disconnected from core workflows, risky to ship, or impossible to measure.
The pattern is consistent across enterprise reporting: adoption is broad, scaled impact is rare, and projects without clear value are getting pruned. The gap is not more AI. It is the engineering discipline to pick one workflow, wire AI into it properly, and measure the result.
THE FILTER
We pick the pilot worth rescuing
- Tied to a core workflow, not a novelty
- Has a measurable outcome: hours, errors, cycle time, or revenue
- Failure modes can be contained with checkpoints and review
02 / DELIVERABLES
What you get
Every sprint ends with a working system and a decision-ready document set.
OUT-01
The audit
- AI opportunity audit across your existing experiments
- Workflow map for the pilot we rescue
- Risk assessment: data, security, failure modes
OUT-02
The build
- Working prototype wired into the real workflow
- ROI target defined with you and measured against
- Human-in-the-loop checkpoints where they matter
OUT-03
The path forward
- Production roadmap: what it takes to run this for real
- Fixed-price implementation proposal
- Honest kill recommendation if the pilot isn't worth scaling
03 / HOW IT WORKS
How it works
- 1
Audit (week 1)
We review your AI experiments, find the one closest to real value, and define the ROI target with you.
- 2
Build (weeks 2 to 3)
We wire the pilot into the actual workflow: real data, real permissions, checkpoints where failure is expensive.
- 3
Measure and decide (week 4)
You see the prototype running against the ROI target, plus a production roadmap and a fixed-price proposal to ship it.
PRICING
$7.5k to $20k
Fixed price for the sprint, scoped on a short call. Production implementation, if you proceed, is quoted as a fixed-price proposal at the end of the sprint.
04 / FIT
Who this is for
A strong fit if
- You have at least one AI pilot or experiment that stalled before production
- There is a workflow where the value would be obvious if it worked
- Someone internally can own the ROI target with us
- You want a working system, not another strategy deck
Not the right call if
- You haven't tried anything yet and want ideas first (start with the Workflow Leak Audit)
- The goal is a board-facing AI narrative rather than an operating improvement
- No one can grant access to the workflow and data involved
05 / FAQ
FAQ
06 / INTAKE
Tell us what you tried. We'll tell you what's rescuable.
Five minutes. We reply within one business day with a read on which pilot to rescue and how we'd scope the sprint.
Let's rescue a pilot.
Tell us what you've tried and where it stalled. We reply with a read on what's rescuable and a scoped sprint proposal. This takes about five minutes and saves as you go.
Prefer email? Write to stu@true.industries with a few sentences about the pilot that stalled and we'll take it from there.