Ebook

The State of Field Services 2026

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March 24, 2026

Overview

Challenges

Field services teams are under pressure from talent shortages, rising asset complexity, and customer expectations that traditional efficiency-first models can no longer meet. Without better technology and new ways to measure value, organizations risk staying stuck in low-margin, reactive service delivery.

Summary

State of Field Services 2026 explains why AI is becoming essential to field service transformation, not by replacing technicians, but by helping them apply their expertise where it matters most. The ebook shows how leaders can use AI to reduce transactional work, capture institutional knowledge, and shift toward outcome-driven service models.

Key takeaways

AI can restore the human advantage

AI is not about replacing technicians. It is about removing low-value, repetitive work so technicians can focus on judgment, problem-solving, and customer trust.

Traditional field service metrics are losing relevance

As AI automates more transactional work, leaders need to shift from utilization-based thinking to outcome-oriented measures that better reflect value delivered.

Deep service data is now a strategic advantage

Orgs with rich service histories, technician knowledge, and operational data are in a stronger position to build AI-enabled services that improve performance and support new revenue models.

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