Francois Lamy is the SVP of Product Management – AI and Integrated Product Engineering at PTC. He leads the company’s AI strategy, governance, and internal enablement, while driving the integration of AI into PTC’s product portfolio to enhance customer value and operational insight. Francois also leads the strategic initiative of Integrated Product Engineering - an initiative that bridges ALM and PLM to create a unified, collaborative model-based digital thread across software and hardware development. Since joining PTC in 1998, Francois has held multiple product and people management roles spanning MCAD, ALM, PLM, SLM, UX and SaaS platform development. He holds a Bachelor of Sciences in Mathematics and an MS in Mechanical Engineering from Arts & Métiers, France.
The Power of a Strong Data Foundation: How PTC Systems Turn Information Into Intelligent Action With AI
In the age of AI, data is no longer just a byproduct of digital systems, it’s a strategic asset. But not all data is created equally. At PTC, we believe that the most valuable data is structured, governed, and embedded with purpose and business meaning. When this kind of data lives inside our enterprise systems, it becomes the foundation for AI that analyzes, understands, and acts with precision.
Why structure and governance matter
Every company naturally organizes its data differently in a way that reflects its unique products, processes, and priorities. So, when AI operates on unstructured or loosely governed data, it often lacks the context needed to deliver meaningful insights. PTC systems like Windchill®, Codebeamer®, and ServiceMax® are designed to capture and enhance your data. Rather than just storing information, PTC systems can enforce access controls, embed business rules, and define relationships between data elements. This creates an environment where AI can operate with accuracy, security, and relevance.
Generative AI with business context
Generative AI is transforming how we create, design, and solve problems. But its effectiveness depends entirely on the quality of the data it learns from. At PTC, we ensure that generative AI is grounded in the structured authoritative engineering and service data that reflects your business model, not just generic content scraped from the web. This allows our AI to generate outputs that are not only creative but also correct and aligned with your configurations, compliant with your standards, and relevant to your goals.
Agentic AI: embedded, aware, and action-oriented
As AI quickly evolves, we’re entering a new era of agentic AI where intelligent agents no longer just assist users, but they can also act on your behalf.
At PTC, our agentic AI is embedded directly into our systems, making it context-aware, role-sensitive, and outcome-driven. These agents understand the structure of your data, the logic of your workflows, and the permissions of your users. They can automate tasks, surface insights, and even initiate actions within the guardrails of your business rules. This is not generic AI layered on top of your systems, this is AI that’s built within your systems to enable users to seamlessly move from insight to action without ever leaving their workflow.
Whether it’s recommending a design change, flagging a compliance risk, or optimizing a service schedule, our AI delivers value where it matters most—at the point of decision. And because it’s grounded in structured, governed data, it does so with trust and transparency.
The strategic edge of a strong data foundation
A strong data foundation gives PTC customers a real advantage in the AI era. When data is structured, governed, and embedded in enterprise systems, AI can act with clarity, confidence, and speed, delivering:
- Smarter insights from context-rich data
- Secure, compliant actions through built-in governance
- Faster decisions with embedded, proactive AI
- Business aware outputs from generative AI
With PTC, your data becomes more than information—it becomes a catalyst for intelligent action, innovation, and competitive growth.