Field Service Strategy and Transformation

field service transformation

Modernizing field service for scale, efficiency, and resilience

This hub examines how field service organizations evolve their operating models, processes, and ways of working to meet rising customer expectations and workforce constraints. It covers practical transformation topics, from workforce enablement and process redesign to digital adoption through the lens of what actually works in complex, global service environments. The insights reflect hands-on experience with transformation programs where progress is measured by adoption and outcomes, not just system go-lives.

Core Field Service Insights

2025 aftersales & field service review

2025 Aftersales & Field Service Review: From Ambition to Operational Reality

2025 was a reality-check year for aftersales and field service. Demand stayed resilient, but workforce shortages, asset complexity, AI scaling limits, and regulatory pressure reshaped execution. Leading organizations shifted from experimentation to fundamentals, anchoring AI to KPIs, prioritizing productivity over headcount, and treating service as an end-to-end system under real economic constraints across manufacturing and…
Read More…
Predictive versus preventive maintenance in manufacturing, illustrating the shift from scheduled maintenance to data-driven, IoT-enabled prediction to improve uptime, reliability, and cost efficiency.

Predictive vs Preventive Maintenance: Key Differences Explained

Understand the real difference between predictive and preventive maintenance, and why it’s not just about technology. Learn how manufacturers can master preventive maintenance first, assess readiness, and layer predictive intelligence to drive service-led growth. Explore common pitfalls, readiness checklists, and practical guidance for bridging the gap from reactive repairs to proactive, data-driven reliability.
Read More…
Platform-of-platforms architecture for service organizations, showing how CRM, ERP, field service software, IoT platforms, and CPQ systems connect to unify data, workflows, and quote-to-cash processes.

Platform of Platforms: Why Individual Tools Are No Longer Enough

Discover how a “Platform of Platforms” approach transforms field service management. Learn why integrating planning, execution, quoting, and analytics under one connected architecture is key to service-led growth. Explore enablers, business benefits, and real-world use cases that show how unified platforms drive efficiency, revenue, and customer experience.
Read More…
Lessons from global manufacturers on scaling field service operations, focusing on fixing process blind spots, avoiding tech-first traps, enabling technicians with AI, and building customer-outcome-driven service models.

What Global Manufacturers Can Teach Us About Scaling Field Service Operations

Scaling field service isn’t just about adding headcount or tools -it’s about building a discipline around customer outcomes. This article shares five lessons global manufacturers have learned the hard way: from fixing process blind spots and avoiding tech-first traps, to empowering technicians with AI self-help, navigating complexity, and scaling around customer outcomes. A practical, experience-driven…
Read More…
Future service organization in 2030 powered by AI, smart products, and customer value, illustrating the shift from break-fix support to outcome-driven service models.

The Service Organization of 2030: Powered by AI, Led by Customer Value

By 2030, service will no longer be about fixing what’s broken – it will be about delivering continuous outcomes. For manufacturers and service leaders, this marks a profound shift. Customers won’t just buy machines; they’ll buy uptime, sustainability, and results. And in a decade defined by AI, intelligent products, and connected ecosystems, service will become…
Read More…
AI use cases improving after-sales operations through faster diagnostics, accurate service workflows, optimized parts management, and better customer support.

How AI Can (Actually) Help After-Sales Service – Beyond the Hype

Discover how AI is revolutionizing after-sales in industrial manufacturing – from complaint triage and technician scheduling to predictive maintenance and customer companion bots. This in-depth guide explores business challenges, real-world use cases, and measurable KPIs, helping manufacturers unlock efficiency, revenue, and customer satisfaction at scale.
Read More…
1 2 3

Featured Articles

Handpicked insights on the biggest shifts shaping after-sales and field service

Scroll to Top