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Case Studies

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Turning frontier AI into everyday enterprise workflows

Turning frontier AI into everyday enterprise workflows

Turning frontier AI into everyday enterprise workflows

How Philips scaled ChatGPT enterprise adoption

How Philips scaled ChatGPT enterprise adoption

The challenge

The challenge

Key challenges

Philips launched a major ChatGPT Enterprise program with Fractal and OpenAI to improve productivity, accelerate technical work. During the pilot, Philips observed high activation and sustained weekly engagement across participating employees.

Users across business and technical teams had different levels of AI maturity. As adoption scaled, Philips wanted better insight into usage patterns and the business value emerging across teams.

  • Uneven AI maturity across business and technical users

  • Need to identify high-value workflows beyond individual productivity

  • Limited visibility into adoption, usage, and impact signals

  • Perception of Codex as a developer-only tool

  • Need for hands-on support to reduce setup, access, and readiness friction

The solution

A partnership model for enterprise AI adoption

A partnership model for enterprise AI adoption

OpenAI leadership

Guided platform adoption and licensing strategy

Delivered product walkthroughs and Codex training

Fractal enablement

Drove enterprise-wide user enablement

Shaped use cases and readiness plans

The impact

The impact

Scaling AI across functions

Scaling AI across functions

ChatGPT Enterprise adoption during pilot phase was strong.

Employees rapidly began creating reusable AI assistants tailored to recurring business workflows.

Teams across multiple business functions adopted ChatGPT Enterprise for knowledge work, content creation, research, analysis and workflow automation.

Engineering teams explored how Codex could support software development workflows and improve developer productivity.

Scaling AI across an enterprise is about much more than deploying technology, said Patrick Mans, Head of Data & AI at Philips. It requires helping people discover where AI creates value in their daily work and giving them the confidence to apply it responsibly. Fractal played an important role in supporting that adoption journey alongside Philips and OpenAI, helping us turn early enthusiasm into practical experience across the organization.

Patrick Mans

Head of Data & AI Engineering

Looking ahead

Looking ahead

Scale AI adoption

  • Expand successful pilot initiatives across functions

  • Identify and prioritize new high-value use cases

Embed AI in daily work

  • Equip employees with practical AI skills and guidance

  • Integrate AI seamlessly into everyday workflows

Philips continues to build on the pilot by expanding AI adoption responsibly, identifying additional high-value use cases, and supporting employees in integrating AI into their daily work.

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