From stalled AI pilot to production

---
title: "From stalled AI pilot to production: AI Use Case"
description: "Take a pilot that impressed in a demo but never shipped, decide whether it deserves production, and get it there with owners and controls."
url: https://lidvizion.ai/use-cases/stalled-ai-pilot-to-production/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Use cases](https://lidvizion.ai/use-cases/) · Leadership

# From stalled AI pilot to production

Take a pilot that impressed in a demo but never shipped, decide whether it deserves production, and get it there with owners and controls.

[Talk through this workflow](https://lidvizion.ai/contact/?need=fractional-chief-ai-officer&from=%2Fuse-cases%2Fstalled-ai-pilot-to-production%2F#write) · [Fractional Chief AI Officer](https://lidvizion.ai/services/fractional-chief-ai-officer/)

Where it starts

## The trigger.

A pilot worked in a demo months ago and has been “almost ready” since.

How it runs today

- Nobody owns the decision to ship or stop it.
- The pilot runs on a copy of data nobody maintains.
- Success was never defined, so every review ends in “more testing”.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Assess
   Review what the pilot does, what it touches and what it would take to run for real.
2. 02 / Decide
   Ship, fix or stop — with the reasons written down and an owner named.
3. 03 / Harden
   Connect real data with scoped access, add approval points and stop rules.
4. 04 / Launch
   Release to a small group, measure against the baseline, then widen.

Where people stay in control

## Approval points.

- A named owner decides go, fix or stop.
- Sensitive actions keep an approval step after launch.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Time from decision to production.

### Share of outputs accepted without edits.

### Hours saved against the baseline.

Related

## Go deeper.

- [Fractional Chief AI Officer](https://lidvizion.ai/services/fractional-chief-ai-officer/): We connect AI strategy to the workflows, controls, tools, people, and measurements required to make it useful.
- [Fine-tuning vs. pre-trained models](https://lidvizion.ai/resources/basics/model-fine-tuning-vs-pre-trained-models/): Why most teams should start with a capable pre-trained model, and when fine-tuning earns its cost.
- [Get a stalled AI pilot into production](https://lidvizion.ai/guides/get-a-stalled-ai-pilot-into-production/): A four-step playbook to diagnose why an AI pilot stalled, fix what blocks it, and either put it into daily use with an owner or stop it on purpose.
- [Why Do AI Pilots Fail to Reach Production?](https://lidvizion.ai/answers/why-do-ai-pilots-fail-to-reach-production/): Why do so many AI pilots fail to reach production?

More use cases

## Other places to start.

[All use cases](https://lidvizion.ai/use-cases/)

- [A company-wide AI rollout with rules people follow](https://lidvizion.ai/use-cases/company-wide-ai-rollout/): Leadership Move from scattered personal AI accounts to one approved setup, a short policy and a first set of shared workflows the whole company uses.
- [Quarterly AI usage and risk review](https://lidvizion.ai/use-cases/quarterly-ai-usage-review/): Leadership Each quarter, take stock of which AI tools people actually use, what data goes into them and how that matches policy, so leadership can approve, restrict or retire tools with evidence instead of guesswork.
- [An AI pilot with a go or no-go decision](https://lidvizion.ai/use-cases/ai-pilot-with-a-go-no-go-decision/): Leadership Run a short, time-boxed AI pilot on one real workflow, with success and stop criteria agreed up front, so leadership ends it with a clear decision to scale, change or stop instead of an open-ended experiment.

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)