AI Agents for Connected Equipment: Turn Machine Data into Service and Parts Revenue
Webinar Overview Join this webinar to learn how AI Agents turn telematics and equipment health data into action across both service and parts, so a developing failure becomes a scheduled service visit and a stocked part instead of an emergency call. In this 30 minute session, see how manufacturers and dealer networks use AI driven failure prediction, automated dealer alerts, and predictive parts demand forecasting to cut downtime and capture the aftermarket revenue their machine data was signaling all along. On-Demand Recording Speakers Gary Serbousek Senior Program Manager Amrita Rout Technical Architect Key Takeaways The Machine Is Talking. Most Operations Aren’t Listening Equipment in the field streams telematics, fault codes, and utilization data every hour, but the signal rarely reaches a decision. We break down what unused machine data actually costs in unplanned downtime, reactive service, and missed parts and service revenue, and why acting on the data you already have returns more than collecting more of it. From Equipment Health Signal to Scheduled Service AI Agents read IoT signals, fault codes, and equipment health data to predict failures before they cause downtime, then trigger maintenance and alert the dealership with the likely fix, so a developing problem becomes a planned service visit instead of an emergency truck roll. Telematics That Sells Parts Across the Dealer Network Predictive parts demand forecasting reads equipment health and usage to put the right component at the right dealership before the customer knows they need it. We show how connected equipment data turns aftermarket parts and service from guesswork into a revenue engine for the dealer network. Closing the Loop Across Service and Sales Every machine outcome is data. We cover how feeding results back makes forecasting, maintenance, and dealer engagement smarter over time, and gives you a board ready ROI case built from downtime, predictive failure detection, parts fulfillment, and service revenue. Who Should Attend Service & Aftermarket Leaders VPs of Service, Aftermarket Directors, and Service Operations leaders accountable for equipment uptime and service revenue at OEMs and dealer networks Parts & Dealer Revenue Heads Leaders responsible for parts demand planning, dealer parts sales, and aftermarket revenue growth Digital, IoT & AI Executives CIOs, CTOs, and Heads of Connected Equipment or Data evaluating production grade AI on telematics and IoT data Predictive Equipment Health AI flags the failure before the breakdown call Automated Dealer Alerts The right fix and parts pushed to the dealership Predictive Parts Demand The right part stocked before the customer asks Ready to move from manual loan review to AI-enabled throughput? See TOUCHLESS® in action and learn how AI automation can help your mortgage team reduce manual touches, improve consistency, and move loans from intake to decision faster — with full transparency at every step. FAQs What is this webinar about? This webinar explores how AI Agents turn telematics, fault codes, and equipment health data into proactive service and parts decisions. The session focuses on predicting failures, alerting the dealer network, and forecasting parts demand before downtime hits. Who should attend this connected equipment webinar? This webinar is designed for service and aftermarket leaders, parts and dealer revenue heads, and digital, IoT, or AI executives evaluating production grade AI for connected equipment and manufacturing service operations. How can AI agents use connected equipment data to improve service? AI agents mine IoT signals and fault codes to predict failures before they cause downtime, then trigger maintenance and alert the dealership with the likely fix, turning a developing problem into a planned service visit. What business outcomes will the webinar cover? The webinar covers outcomes such as less unplanned downtime, improved predictive failure detection, proactive parts fulfillment, higher service attach, and stronger aftermarket parts and service revenue. How does machine data drive parts revenue? Predictive parts demand forecasting reads equipment health and usage to put the right component at the right dealership before the customer knows they need it, turning telematics into an aftermarket revenue engine. What is Maya, the Mortgage Agent? Maya is an AI-powered assistant that helps underwriters quickly navigate the loan file, ask plain-language questions, and surface relevant insights. Critically, every answer Maya provides is cited back to specific source documents in the file — so underwriters can verify her responses directly. In the webinar, attendees will see how Maya reduces time spent searching through documents while giving underwriters the transparency they need to trust what they’re seeing. Will the webinar cover how to move from pilot to production? Yes. The session includes guidance on moving from pilot to production, including telematics data readiness, integration, and human in the loop design for deploying AI on connected equipment. How long is the webinar? The webinar is a 30 minute session. When is the webinar scheduled? The webinar is scheduled for June 26, 2026 at 10 a.m. PT / 7 p.m. CET.
AI Agents in Field Service: Turn Every Work Order into a First Time Fix
Webinar Overview Join this webinar to learn how AI Agents turn the field service work order into an intelligent unit of work that lifts first time fix rates and prevents repeat visits. In this 30-minute session, see how manufacturers and service organizations use AI driven triage, predictive parts, and technician guidance to cut service costs and deliver better customer outcomes. Register Now First Name * Last Name * Business Email * Company * Register Now Webinar On-Demand Recording https://www.youtube.com/watch?v=gyRsMLVVU0g&t=3s Join this webinar to learn how AI Agents turn the field service work order into an intelligent unit of work that lifts first time fix rates and prevents repeat visits. In this 30-minute session, see how manufacturers and service organizations use AI driven triage, predictive parts, and technician guidance to cut service costs and deliver better customer outcomes. Speakers Petchiraj Piramuthu Head of Data & Analytics Samantha Horton Enterprise Business Architect Key Takeaways Why the Work Order Is the Most Expensive Document in Service An incomplete or wrong work order does not just delay one job — it generates callbacks, escalations, parts churn, and lost customer trust. We break down what a broken work order actually costs, and why fixing the work order itself returns more than adding technicians ever will. Triage That Arrives Before the Technician Does AI Agents read asset history and IoT signals to diagnose the likely fault, recommend repair steps for problems the service manual never covered, and connect technicians to similar cases and senior experts in real time — so the first visit is the one that resolves it. The Right Part on the First Truck Predictive parts planning reads the work order and the asset to put the right component on the first visit, instead of discovering the gap on site. We show how parts aware work orders turn first time fix from an aspiration into a default. Closing the Loop, Not Just the Ticket A resolved work order is data. We cover how feeding service outcomes back into warranty and quality stops the same failure from generating new jobs — and gives you a board ready ROI case built from first time fix rate, repeat visits, MTTR, and cost per case. Intelligent Work Orders AI triages faults before the technician arrives Predictive Parts Planning The right part on the first visit, every time First Time Fix at Scale Fewer repeat visits and lower cost per case Attendees Field Service & Operations Leaders VPs of Field Service, Service Operations Directors, and Service Delivery Managers at OEMs and large dealer networks. Aftermarket & Service Revenue Heads Leaders accountable for first time fix performance, repeat visit cost, and service contract profitability Digital Transformation & AI Executives CIOs, CTOs, and Innovation Officers evaluating production grade AI in manufacturing field operations FAQs What is this webinar about? This webinar explores how AI Agents turn the field service work order into an intelligent unit of work, using asset history, IoT signals, and parts data. The session focuses on faster triage, predictive parts planning, and raising first time fix rates. Who should attend this field service webinar? This webinar is designed for field service and operations leaders, aftermarket and service revenue heads, and digital transformation or AI executives evaluating production grade AI for manufacturing field operations. How can AI improve the field service work order? AI improves the work order by triaging the likely fault before the visit, recommending repair steps, predicting the parts a job will need, and connecting technicians to similar cases and senior experts in real time. What business outcomes will the webinar cover? The webinar covers outcomes such as a higher first time fix rate, fewer repeat visits, lower cost per case, improved MTTR, and stronger service margins from smarter work orders. Why does predictive parts planning matter for first time fix? Most repeat visits happen because the technician arrives without the right part. The webinar shows how predictive parts planning reads the work order and the asset to get the right component on the first truck, making first time fix the default outcome. Will the webinar cover how to move from pilot to production? Yes. The session includes guidance on moving from pilot to production, including data readiness, change management, and human in the loop design for deploying AI in field service operations. How long is the webinar? The webinar is a 30 minute session. When is the webinar scheduled? The webinar is scheduled for May 29, 2026 at 10 a.m. PT / 7 p.m. CET.
AI Agents in Field Service: Turn Every Dispatch Decision into a Business Outcome
Webinar On-Demand Recording Watch this on-demand webinar to learn how AI agents and reinforcement learning are transforming dispatch optimization, improving SLA performance, and increasing first-time fix rates. In this 30-minute session, discover how manufacturers and service organizations use AI-driven field service management to reduce costs, improve technician productivity, and deliver better customer outcomes. Speakers Petchiraj Piramuthu Head of Data & Analytics Dr. Olav Laudy Head of AI Consulting Key Takeaways The Real Cost of Getting Dispatch Wrong Every missed SLA, repeat visit, and idle technician has a price. We break down what reactive dispatch actually costs in penalties, wasted capacity, and lost customer trust, and why smarter decisions at dispatch deliver faster ROI than adding more resources. Agents That Think Ahead, Not Just Right Now Reinforcement Learning powered agents learn from real operational patterns to optimize across an entire week, not just the next job in queue. They anticipate demand, balance workloads, and protect high-value SLAs before a breach ever occurs. Outcomes That Show Up on the Scoreboard First time fix rate, SLA compliance, technician utilization — we connect the AI capability to the business metric and give you a framework for building a board-ready ROI case from your own operational data. From Pilot to Production, Without Friction Going live is where most AI initiatives stall. We cover what it actually takes, like data readiness, change management, and human-in-the-loop design, so AI Agents empower your service teams. Smart Dispatch Optimization AI improves routing, cost, and SLA outcomes Predictive Service Intelligence Anticipate delays, demand, and service risks Scalable AI Deployment Production-ready AI with human-in-loop Audience Field Service & Operations Leaders VPs of Field Service, Service Operations Directors, Dispatch Managers at OEMs and large dealer networks Aftermarket & Service Revenue Heads Leaders accountable for uptime SLAs, service contract profitability, and first-time fix performance Digital Transformation & AI Executives CIOs, CTOs, and Innovation Officers evaluating production-grade AI in manufacturing field operations FAQs What is this webinar about? This webinar explores how AI agents can improve field service dispatch decisions by using reinforcement learning to analyze work orders, IoT signals, and service history. The session focuses on reducing unnecessary truck rolls, improving first-time fix rates, and protecting SLA commitments. Who should attend this AI in field service webinar? This webinar is designed for field service and operations leaders, aftermarket and service revenue heads, and digital transformation or AI executives evaluating production-grade AI for manufacturing field operations. How can AI improve field service dispatch? AI can improve dispatch by learning from operational patterns, anticipating demand, balancing workloads, prioritizing high-value SLA commitments, and helping teams route the right technician with the right parts to the right job. What business outcomes will the webinar cover? The webinar covers outcomes such as improved first-time fix rate, stronger SLA compliance, better technician utilization, fewer repeat visits, and lower service costs from smarter dispatch decisions. Why is reinforcement learning relevant for field service operations? The webinar explains that reinforcement learning helps AI agents optimize beyond the next job in queue by learning from real operational patterns over time. This allows field organizations to anticipate demand, balance workloads, and make more adaptive dispatch decisions than static rule-based systems. Will the webinar cover how to move from pilot to production? Yes. The session includes guidance on moving from pilot to production, including data readiness, change management, and human-in-the-loop design for deploying AI in field service operations. How long is the webinar? The webinar is listed as a 30-minute session. When is the webinar scheduled? The page lists the webinar for April 24, 2026 at 10 am PT / 7 pm CET.
Field Service Next West 2026
Agentic AI That Turns Field Signals Into Service Action — Meet Tavant at Field Service Next West 2026 Your team is already sitting on a goldmine of field signals — IoT alerts, asset history, technician notes, parts data, work orders, warranty claims. The problem was never data. It’s the gap between signal and action. That gap costs service organizations millions every year in unnecessary dispatches, repeat visits, and SLA failures. Join Tavant at Field Service Next West 2026 and see how agentic AI closes that gap across the entire service lifecycle. https://tavant.com/wp-content/uploads/2026/03/ICE-Experience-2026-Video-1.mp4 AI Advisory Lab Proof of Concept Presentation AI Advisory Lab Personalized Discussions Live AI Agents Demo For end-to-end Service Lifecycle What We’re Bringing to Field Service Next West 2026 From Signal to Action: Agentic Field Service Intelligence Most field failures send detectable warnings 24 to 72 hours before they happen. Tavant’s SLM AI Agents read IoT telemetry, usage patterns, and service history and act before your customer picks up the phone. Your technician arrives with answers, not questions. First-Time Fix Is a Data Problem Right technician. Right parts. Right route. AI makes this call in seconds, matching skills, location, parts inventory, and asset history simultaneously. Fewer repeat visits. Higher CSAT. Lower cost per case. Before the van leaves the depot. SLA Compliance Starts Before the Ticket Opens Reactive scheduling is a losing game. Intelligent dispatch, AI-guided triage, and prescriptive service steps compress resolution time at every stage, delivering faster resolution, stronger SLA performance, and happier customers. AI Agents for Every Role. Always On. Tavant SLM AI Agents help OEMs, suppliers, dealers, distributors, and customers accelerate transformation across your end-to-end service lifecycle, from first signal to final resolution with Field.AI · Warranty.AI · Knowledge.AI · Quality.AI · Contract.AI · Price.AI · Connect.AI AI Advisory Lab Topic: From Signals to Service: Agentic AI That Improves SLA, First-Time Fix, and Cost-per-Case in Field Service Session 1: AI Advisory Lab: Proof of Concept Presentation Date: Tuesday, April 7 | 12:20 pm PT Session 2: AI Advisory Lab: Personalized Discussions Date: Thursday, April 9 | 11:00 am PT Book a meeting Meet our Experts Petchiraj Piramuthu Head of Products – Aftermarket Tavant Samantha Horton Enterprise Business Architect Tavant Timothy Tolls Client Partner Tavant Arun Venkataraman Client Partner Tavant Simran Tayal Head of Marketing Tavant Dr. Olav Laudy Head of AI Consulting Tavant Insights Article Customer success AI agents: transforming dealer and partner support in European manufacturing January 30, 2026 Explore Article AI pricing agents: optimising parts prices to maximize sales and market share January 30, 2026 Explore Blog From reactive to predictive: an AI agent-powered early warning system for future-ready manufacturers January 16, 2026 Explore News Tavant Positioned as a Major Player in IDC MarketScape for AI-Enabled Aftermarket/ Service Life-Cycle Management Platforms October 10, 2025 Explore AIByte Stop Reacting. Start Predicting. AI for Early Warning in Aftermarket Services September 17, 2025 Explore News Daimler Truck North America Partners with Tavant to Launch Best in Class, AI-driven Warranty System June 6, 2024 Explore Book a Meeting First Name * Last Name * Work Email * Job Title Company Name * Date & Time Schedule a Meeting
Copperberg 2026
Aftermarket Intelligence That Protects Margins and Drives Revenue — Meet Tavant at Copperberg UK Field signals reveal what’s breaking and what customers will need next, before traditional systems can see them. Join Tavant’s roundtable discussions exploring how manufacturing aftermarket leaders are embedding preventive intelligence across service operations: detecting quality issues before warranty escalation, while turning the same equipment signals into predictive parts demand and proactive revenue opportunities. https://tavant.com/wp-content/uploads/2026/03/ICE-Experience-2026-Video-1.mp4 Idea Blitz Roundtable Field Service & Service Parts Use Cases What We’re Bringing to Copperberg Power of 50 Preventive Quality Intelligence Transform unstructured field observations into early warning signals that enable engineering action before warranty spikes or recalls occur. Equipment-Driven Revenue Forecasting Predict parts demand 30-60 days in advance by analyzing machine behavior, usage patterns, and service triggers, not just historical consumption. AI-Powered Field Service Intelligence Conversational Dealer and Agent Assist that reduces troubleshooting friction, improves first-time fix rates, and accelerates service resolution. Closed-Loop Aftermarket Platform Connect field operations, quality engineering, warranty analytics, and parts planning in one intelligence system that validates outcomes and drives continuous improvement. Idea Blitz Roundtable Session Turning Field Signals Into Strategic Advantage Event: Field Service Forum UK Date: March 11, 2026 Topic: Early Quality Intelligence: Detecting Field Failures Before They Become Warranty Spikes or Recalls Event: Parts & After Sales Business Platform Date: March 12, 2026 Topic: Turning Failure Signals into Aftermarket Revenue: The Predictive Parts Advantage Download Brochures Meet our Experts Leo Roeks Warranty Management & Process Leader Tavant Rafal Kowalski Head of Sales Europe Tavant Tapas Satpathy Senior Solutions Architect Tavant Insights Article Customer success AI agents: transforming dealer and partner support in European manufacturing January 30, 2026 Explore Article AI pricing agents: optimising parts prices to maximize sales and market share January 30, 2026 Explore Blog From reactive to predictive: an AI agent-powered early warning system for future-ready manufacturers January 16, 2026 Explore News Tavant Positioned as a Major Player in IDC MarketScape for AI-Enabled Aftermarket/ Service Life-Cycle Management Platforms October 10, 2025 Explore AIByte Stop Reacting. Start Predicting. AI for Early Warning in Aftermarket Services September 17, 2025 Explore Blog AI Agents in Warranty Claims: Revolutionizing Adjudication & Automation March 28, 2025 Explore News Daimler Truck North America Partners with Tavant to Launch Best in Class, AI-driven Warranty System June 6, 2024 Explore Download Brochures