A company-wide AI rollout with rules people follow

---
title: "A company-wide AI rollout with rules people follow: AI Use Case"
description: "Move from scattered personal AI accounts to one approved setup, a short policy and a first set of shared workflows the whole company uses."
url: https://lidvizion.ai/use-cases/company-wide-ai-rollout/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# A company-wide AI rollout with rules people follow

Move from scattered personal AI accounts to one approved setup, a short policy and a first set of shared workflows the whole company uses.

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

Where it starts

## The trigger.

Staff are already using AI tools at work, with no shared rules and no view of what is working.

How it runs today

- People use personal and free accounts with company information.
- Good prompts and results stay with the person who found them.
- Leadership cannot say what AI is costing or saving.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Inventory
   Find out which tools are used, by whom, for what and with which information.
2. 02 / Decide
   Approve the tools, set the data rules and name an owner for the policy.
3. 03 / Set up
   Configure the approved workspace with shared projects for the first priority workflows.
4. 04 / Adopt
   Walk each team through its own workflows and measure use and time saved.

Where people stay in control

## Approval points.

- Leadership approves the policy and the tool list.
- Outputs that reach customers or records keep a human review.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Share of AI use on approved accounts.

### Priority workflows in regular use.

### Time per task before and after on those workflows.

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.
- [Build a 90-day AI plan](https://lidvizion.ai/guides/build-a-90-day-ai-plan/): A three-phase method to turn scattered AI ambition into a 90-day plan with owned workflows, clear rules and one measured result leadership can see.
- [How to Get a Team to Actually Use AI](https://lidvizion.ai/answers/how-to-get-a-team-to-adopt-ai/): How can a company get its team to actually adopt AI tools?

More use cases

## Other places to start.

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

- [From stalled AI pilot to production](https://lidvizion.ai/use-cases/stalled-ai-pilot-to-production/): Leadership Take a pilot that impressed in a demo but never shipped, decide whether it deserves production, and get it there with owners and controls.
- [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/)