Webinar: From AI Potential to Operational Impact: What It Really Takes to Transform Field Service
(This session will re-run at 10.00 ET / 16.00 CET for those wanting to tune-in from the US region or just prefer afternoon broadcasts)
When AI Enters Field Service: From Experimentation to Operational Reality
Artificial intelligence is no longer a future ambition in field service—it is becoming embedded in day-to-day operations.
From predictive maintenance and remote diagnostics to intelligent scheduling and service automation, AI is reshaping how organizations deliver uptime, manage resources, and engage with customers. But while the potential is clear, the path to value is far from straightforward.
This session moves beyond the hype to examine what AI adoption actually looks like in practice. Where are organizations seeing measurable impact? Where are they struggling? And what does it take to scale AI from isolated use cases to a core operational capability?
Drawing on real-world examples and cross-industry perspectives, we will explore how leading organizations are integrating AI into service operations while navigating challenges in data, workforce adoption, and organizational alignment.
Rather than asking whether AI will transform field service, this discussion focuses on a more pressing question: how to make that transformation deliver tangible business value.
Key Discussion Points
- Where is AI already delivering measurable impact in field service operations today?
- Moving from pilots to scale: what separates successful AI adoption from stalled initiatives?
- How does AI reshape decision-making across service planning, execution, and support?
- What are the implications for workforce roles, skills, and ways of working?
- How can organizations ensure AI initiatives remain aligned with customer value and business outcomes?
Session Context
AI is increasingly positioned as a critical enabler of service transformation—but its real value lies in how it connects data, decisions, and execution across the service lifecycle.
In field service environments, this means:
- Anticipating failures before they occur
- Optimizing workforce deployment in real time
- Enabling more proactive and outcome-based service models
- Supporting more consistent, data-driven decision-making
At the same time, organizations face real challenges:
- Fragmented data landscapes
- Limited scalability of pilot initiatives
- Change management and workforce adoption
- Unclear ownership of AI-driven decisions
This session will address both sides of the equation, opportunity and execution, to provide a more realistic view of AI in service operations.
Speaker: Tom Ryckaert, Solution Strategist, Planon
With over two decades of experience across facility management, field service, and real estate environments, Tom Ryckaert brings a practical perspective on how technology is shaping service delivery. His work focuses on aligning digital capabilities with operational outcomes, helping organisations improve performance, customer experience, and workplace efficiency. In addition to his role at Planon, he contributes to industry development through his involvement with IFMA Belgium, where he supports initiatives around innovation and technology in facility management.
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