AI is moving quickly in field service, but many organizations are still struggling to convert pilots into measurable business impact. In this session, Circuitry.ai will share a practical blueprint, including customer case studies, for applying Service Decision Intelligence across the field service lifecycle. Attendees will learn how to map high-value service decisions, determine the right level of AI autonomy, and deploy Service AI Workers that improve diagnostics, parts accuracy, and repair guidance.

The session will include a simple operating model that leaders can use to identify where AI should inform, recommend, approve, or automate decisions while keeping humans in control where judgment, risk, or customer impact requires it.

Service leaders will leave with a practical framework to:

• Identify their highest-value AI use cases
• Design an autonomous service journey
• Measure impact using outcomes such as first-time fix, technician ramp time, call deflection, repair accuracy, parts accuracy, warranty leakage, and service margin