Samantha Horton | Field Service Next West

Tuesday, April 7, 2026

11:55 AM AI Advisory Lab: Proof of Concept Presentations

Join this session to learn two tried and tested proof of concepts for AI that service leaders are executing with solution partners. You’ll have an opportunity to select which service leaders and their solutions providers that you would like to meet with for a hands-on session to close out your learnings on day 3.

Case Study 1: Beyond the Pilot: Results at Scale with AI in Service

Neuron7 customers are using AI to build smarter, more connected service organizations. This session highlights how to scale from a focused pilot to broad impact, improving technician confidence, reducing parts waste, and creating feedback loops between service and engineering.

The customer story covers how to scope the opportunity, prove value, and align AI with business priorities.

Brian Bachofner, VP Marketing, Neuron7.ai

Case Study: From Signals to Service: Agentic AI That Improves SLA, First-Time Fix, and Cost-per-Case in Field Service

Field service teams sit on a goldmine of signals, from IoT alerts and asset history to technician notes and parts data, but struggle to transform this complexity into decisive and effective service actions. In this session, Tavant reveals how agentic AI brings clarity and automation to every stage of the service lifecycle. See how our SLM suite orchestrates proactive issue detection, intelligent triage, optimal dispatch, predictive parts planning, technician enablement, and seamless service closure, all within your existing workflows. Discover how your service teams can deliver faster resolutions, reduce repeat visits, strengthen SLA compliance, and achieve measurable cost savings, enabling service to become not just reactive, but truly intelligent.

Key Takeaways:

Accelerate triage and next-best action with guided, AI-powered workflows
Boost first-time fix rates with predictive parts and technician matching
Improve SLA and customer experience via smart scheduling and prescriptive service steps
Prevent repeated issues by feeding service outcomes back into warranty and quality improvement loops
Achieve tangible gains in MTTR, SLA, and cost-per-case—delivering results in weeks, not months

Samantha Horton, Enterprise Business Architect, Tavant