AI-First Field Service Operations

BCG argues that AI adoption in field service operations demands full operating-model reinvention, not incremental tech upgrades, with 70% of value unlocked through change management rather than code. The talent crisis is acute—50% of U.S. HVAC technicians are over 55, and healthcare equipment training programs produce just 400 graduates annually against 7,300 needed—but the broader problem is fragmented decision-making and underused asset data across sales, operations, and customer functions. BCG projects productivity gains of 20%–30% and profit-per-technician increases of up to 80% for organizations that deploy AI agents end-to-end, spanning smart dispatch, predictive parts restocking, augmented-reality field support, and outcomes-as-a-service revenue models. A BCG transport-sector engagement demonstrated a 40% reduction in rework and 25% faster maintenance execution after deploying extended-reality devices paired with deep change management. The recommended path is a three-phase approach—rapid diagnostic, proof-of-concept, and iterative full workflow redesign—anchored by deliberate activation of the management layer between C-suite and frontline technicians.