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Case Study

Fortune 500 Company:
An AI Governance Program for an On-Premises LLM

We designed an AI governance program with a Fortune 500 company and trained more than 50 employees to carry it into the rest of the organization.

Fortune 500
50+Employees trained to lead AI governance
On-premCustom large language model covered
CustomProgram built by our content team

Project Overview

AI moves faster than most organizations’ rules for it. Without governance, people make their own calls about what data goes into which tool, models get deployed without clear ownership, and risk builds up quietly. The company was about to put its own large language model in front of its people, on its own infrastructure, and it wanted the rules in place first.

We worked with the company to design an AI governance program for more than 50 employees. Our content development team then built it out for internal rollout, focused on awareness of the on-premises model and how it should be used and managed. Those employees were chosen because they were in positions to take responsibility for bringing AI governance and deployment into the rest of the organization.

The timing matters. In Microsoft and LinkedIn’s 2024 Work Trend Index, 78% of AI users said they bring their own AI tools to work, and only 39% had received AI training from their company.

Leader presenting an AI governance roadmap to a team
The Client

This client is a Fortune 500 company that asked us not to publish its name. When we worked with it, the company was rolling out its own custom, on-premises large language model and the AI systems around it.

Challenge

A New Model, No Rules Yet

  • A custom, on-premises large language model was rolling out, and the company needed a governance program to go with it.
  • Employees needed to know what data can go into the model, how to check its output, and when to ask before using it.
  • The program needed owners inside the company who could carry it forward after the training ended.
Solution

Design the Program, Then Train Its Owners

  • A governance program designed with the company around its own model and systems.
  • Custom content from our content development team, built for internal rollout.
  • User-level awareness covering acceptable use, protecting sensitive data and checking AI output, plus technical awareness on model and data risk, access controls and monitoring.
  • More than 50 employees trained to take the program into the rest of the organization.

Build a Program Like This

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