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AI Engineering
OpenAI Blog·Nov 13·5 min read
How Philips is scaling AI literacy across 70,000 employees
TL;DR
Philips faced a challenge: 70,000 employees lacked AI literacy (understanding how to use AI tools safely and effectively), creating a gap in their ability to leverage AI for healthcare innovation. Philips deployed ChatGPT Enterprise—a secure, business-grade version of OpenAI's conversational AI model—paired with structured training programs to teach responsible AI use.
✦ Why It Matters
Engineers can adopt this model: pair accessible AI tools with structured training to scale capability across non-technical teams efficiently.
Key Takeaways
- Use managed enterprise AI platforms to reduce infrastructure burden and accelerate adoption.
- Pair tooling with structured training programs to establish responsible use patterns.
- Design for non-technical users; accessibility drives organizational scale.
- Measure success through employee capability gains and business outcome improvements.
Full Summary
Philips, a major healthcare technology company, recognized that organizational AI literacy—the ability of employees to understand, evaluate, and responsibly use AI tools—was critical to competing in healthcare innovation. Rather than building custom AI infrastructure, Philips adopted ChatGPT Enterprise, a managed deployment of OpenAI's large language model (LLM) designed for enterprise security and compliance.
The rollout included structured training across 70,000 employees to establish guardrails around responsible AI use, data privacy, and practical application in clinical and operational workflows. By combining accessible tooling with education, Philips created a scalable model for democratizing AI capability without requiring deep technical expertise from end users.
This approach enabled faster adoption and reduced barriers to experimentation. The initiative demonstrates how large organizations can achieve broad AI competency by pairing commercial AI platforms with thoughtful change management and training.