How MedTech Leaders Are Approaching Regulatory Complexity, Quality, and AI

MedTech leaders recently gathered in Boston to talk regulatory complexity, connected quality, and AI at scale. Here's what stood out.

Key takeaways

• Regulatory complexity is a lifecycle-wide job. The FDA's QMSR, effective February 2026, made connected traceability a requirement.
• Connected data beats a single big-bang overhaul. CONMED's 9-year, foundation-first transformation is the proof point. With the transition to SaaS, they start focusing on innovation again.
• Product data access pays off, measurably. 89% of manufacturing executives tie it to lower costs (IDC).
• AI is moving from pilot to scale, but only where the underlying product data is connected.
• Cybersecurity and service are now lifecycle disciplines, not late-stage or post-market afterthoughts.
• PTC previewed what's next: Windchill AI Assistant and AI Part Rationalization are already live, and PTC Jetstream and PTC Orbit are ready for launch.

Regulatory complexity demands lifecycle-wide traceability

Compliance can no longer be a point-in-time activity. The FDA's Quality Management System Regulation (QMSR) took effect in February 2026, harmonizing U.S. medical device quality requirements with ISO 13485.

Strategy-circle sessions on product risk, regulatory records, and cybersecurity reached the same conclusion: the fix isn't a single overhaul,  it's continuous compliance built into how work already gets done.

What CONMED's 9-year journey teaches about transformation

Digital transformation isn't about swapping in new systems overnight. Noah Cumby, CONMED's Corporate Program Manager for Quality Systems, walked attendees through nine years of deliberate change: registrations in 2017, PLM in 2018, a connected QMS in 2019, electronic medical device reporting in 2021, global regulatory files in 2022, and a cloud-enabled Windchill+ platform in 2026.

The drivers were familiar to the room: rising regulatory scrutiny, the cost of poor quality compounding through fragmentation, cybersecurity demands, and innovation outpacing legacy platforms.

Why a connected product lifecycle pays off

Kevin Wrenn, PTC's EVP of Products, made the case that innovation is increasingly constrained less by ideas and more by disconnected data. The numbers back it up — according to IDC research Wrenn cited:

• 89% of manufacturing executives tie improving product data access directly to reducing costs.
• 81% of manufacturing executives tie improving product data access directly to differentiating products.
• 77% of manufacturing executives tie improving product data access directly to increasing sales.
• 71% of manufacturing executives tie improving product data access directly to reducing time to market.

Quality is now a business metric, not just a compliance one

Quality is no longer measured solely by compliance outcomes. Sessions on quality data and risk management pointed to a shift from reactive quality processes toward proactive, lifecycle-based approaches that support quality by design, catch issues earlier, and cut rework, which is why Cost of Poor Quality is increasingly an executive metric, not just a report.

AI in MedTech: from pilot to scale

Daniel Matlis, President and Founder of analyst firm Axendia, framed the AI conversation around a gap his firm's research has been tracking: without a connected product lifecycle, AI stays a pilot; with one, it scales. The takeaway from Boston: AI is a strategy, not a tool; it is important to understand the context of use (intended use), focus on practical, scalable use cases with real governance and traceability, and keep the human (expert) in the loop.

Cybersecurity and service are now lifecycle disciplines

Cybersecurity and service kept surfacing together, for good reason; both demand continuous lifecycle management. GE Healthcare's Gurpreet Kaur, CIO for Global Services & Supply Chain, described service organizations evolving from support functions into strategic differentiators. Different starting points, same conclusion: lifecycle thinking has to extend into post-market execution.

What's next for the PTC MedTech portfolio

Some of what's coming is already shipped: the Windchill AI Assistant and AI-driven Part Rationalization, both live this year, turning fragmented product data into faster search and fewer duplicate parts. PTC Jetstream: a cloud-native workspace for traceable collaboration across engineering, quality, regulatory, and suppliers, is on track for fall 2026.  In addition, PTC Orbit continues evolving as a unified asset-intelligence layer connecting design, service, and field data.

The bottom line

Regulatory complexity, quality, and AI are no longer separate conversations; they're the same one. The organizations leading the next decade will be the ones connecting their data, teams, and lifecycle end to end.

Explore navigating regulatory complexity, improving efficiency under cost pressure, and accelerating innovation across the lifecycle, or request a Value Roadmap Workshop to see how your organization benefits from a connected lifecycle.