Start your day with fresh coffee, fresh connections, and fresh ideas. Join us for the opening of the Tech Demo Theater —your gateway to discovering the latest technologies transforming service.

• 10:45 – 10:55 | Beyond Break-Fix: Why Critical Infrastructure Needs a Digital Organism

• Why service AI must move beyond search and copilots.
• How L4 agents help manage complexity across modern service operations.
• How AI can act as a high-speed navigation system for human technicians.
• What a new operating model looks like when AI and people work together.

Join Kay at the Ascendo.ai booth after the session for a live L4 agent demo and a complimentary copy of Beyond Break-Fix.

Kay Narayanan, Founder and CEO, Ascendo AI

• 11:00 – 11:10 | Always-On Enablement: Closing the Gap Between Training and Performance

Skyllful is a frontline workforce enablement platform built for field service teams to deliver simulated workflow training across digital adoption, health and safety, technical skills, and compliance, with progress tracking at the individual level. In this session, CEO Justin Lake will share how Skyllful evolved from a digital adoption tool into a broad mobile training solution for the frontlines, and offer a first look at the Intelligence Layer: an expansion that integrates with native systems to surface the right information to the right person before they know they need it.

• How always-on, mobile-first enablement drives higher performance than traditional training approaches
• Why one platform can span safety, onboarding, skills, and compliance — without separate tools for each
• What proactive, AI-driven enablement looks like in practice
• How to measure whether your training is actually creating independent, confident performers

Justin Lake, CEO and Co-founder, Skyllful 

• 11:15 – 11:25 Presented by Reliance IQ

Jaryd Keith Fisher, Founder & CEO, Reliance IQ

(10 min each) 

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 one-on-one session to close out your learnings on day 3.

Case Study: Optimizing Service KPIs with Field Decision Intelligence 

Field service teams face mounting pressure to fix issues faster, reduce repeat visits, and control costs amid growing asset complexity and workforce constraints. This case study examines how service organizations are moving beyond static dashboards to enable real-time, AI-guided decisions across the service lifecycle. Using examples from industrial equipment, HVAC, automotive, and medical devices, attendees will learn how AI-supported decision frameworks help technicians, dispatchers, and service leaders consistently make the right decision in the field. The session highlights measurable outcomes, including improved first-time fix rates, reduced mean time to repair, and lower cost-to-serve, along with practical takeaways for service leaders focused on operational performance. 

What you’ll learn: 

• What Field Decision Intelligence is and how it differs from traditional FSM, analytics, and knowledge tools 
• How AI can guide in-the-moment service decisions across call center, field, and parts operations 
• Real-world case studies demonstrating ROI in 60–90 days 
• Practical steps to start your journey toward Autonomous Service Journeys with AI Advisors, Analysts, and Agents  Case Study: Achieve Service Operational Excellence with AI Agents

Josh Russell, Vice President, Products, Circuitry.ai

Case Study: Beyond Break-Fix: How Nokia Reduced Escalations by 95% with Physical AI

Most service organizations are still struggling to close the execution gap because their AI efforts stall on messy, unstructured data. In this session, Nokia and Ascendo AI show how a multi-agent AI architecture can deliver real-world service impact without months of data cleanup or traditional knowledge-base work.

Learn how Nokia used specialized agents to reason over technician notes, service logs, manuals, and historical cases — turning dark data into real-time guidance in the field. By orchestrating 16 purpose-built agents across triage, diagnostics, and logistics, Nokia connected failure patterns directly to service actions and spare parts planning, driving faster resolution and fewer repeat visits.

What you’ll learn:

• How to deploy AI using existing unstructured service data.
• Why multi-agent architectures outperform single copilots in complex field environments.
• How to operationalize expert knowledge to reduce escalations and improve first-time fix rates.
• How to connect service intelligence to parts forecasting and logistics.

Chris Dickerson, VP, Service Planning & Logistics, Nokia 

Kay Narayanan, Founder and CEO, Ascendo AI