Karpaga Rajendran:
How is the transition into a standalone entity influencing your digital strategy and operational focus at Honeywell Aerospace?
Garrett Nobley:
We recently announced that Honeywell Aerospace will become an independent, publicly traded company in the second half of 2026. It’s a significant milestone and gives us the opportunity to define a digital strategy that’s fully focused on the aerospace sector—including aviation, defense, and space.
Even though the separation is still underway, it’s already helped us sharpen our priorities. We’re asking how digital can support engineering, manufacturing, and sustainment operations more directly—and across the full product lifecycle. That includes everything from optimizing how we deliver flight systems for commercial aircraft to how we support space-grade components that operate in orbit for years with zero margin for error.
In my own experience, having worked on satellite systems and operations, I’ve seen how vital precision and predictability are in high-stakes environments. That same thinking now shapes our IT strategy—we’re building connected systems that can scale reliably, adapt faster, and serve our technicians and engineers where they are, whether that’s on a shop floor or supporting systems in orbit.
Karpaga Rajendran:
How are you managing the challenge of integrating legacy systems while bringing in new ones in the context of the regulatory framework you operate in? And how does ServiceNow fit in?
Garrett Nobley:
In aerospace, legacy systems are part of the fabric. They’re trusted, validated, and often built around regulatory, safety, or mission-critical needs. That’s especially true in space systems—where many of the control interfaces, telemetry platforms, and manufacturing traceability records are rooted in older technologies that were designed to last decades.
We’re focused on making sure our older systems can work smoothly alongside the new ones. Instead of replacing everything, we’re adding tools that connect systems and make workflows easier for our teams. Platforms like ServiceNow help us standardize processes and improve traceability. AI adds even more value by flagging issues early and guiding users through next steps—making everything feel faster and more intuitive.
Here’s a simple example: let’s say a technician needs to request a part. The part details might live in an older system, but the request, approval, and tracking happen in a newer one. The technician just sees one smooth process. That’s the kind of integration we’re building—whether it’s supporting a repair request on an aircraft or tracking the certification status of a part destined for orbit.
Karpaga Rajendran:
How are you using AI, especially with Honeywell Forge, to improve MRO and the supply chain?
Garrett Nobley:
AI is helping us move from reactive to proactive operations—especially in areas like MRO and supply chain, where precision, timing, and readiness are everything.
Take something as familiar as a last-minute maintenance delay on a fully boarded flight. That delay doesn’t just inconvenience passengers—it disrupts schedules, affects crew availability, and cascades through the supply chain. With Honeywell Forge, we’re using AI to connect data across aircraft systems, maintenance history, and technician feedback to identify potential issues early—before they cause operational delays.
And this applies to our space work as well. Many of our products end up on satellites or space platforms where real-time maintenance isn’t even an option. That’s where AI plays an even more critical role—helping us build reliability into the system from day one by analyzing test data, identifying anomalies, and improving component longevity.
In the supply chain, we’re using AI to improve demand forecasting, manage inventory more intelligently, and ensure the right parts are available at the right time. Whether it’s keeping an aircraft ready for flight or supporting a propulsion unit destined for orbit, the principles are the same: anticipate, act early, and ensure readiness with confidence.