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.
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Speakers
Petchiraj Piramuthu
Samantha Horton
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
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.
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.
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.
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.
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.
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.
The webinar is a 30 minute session.
The webinar is scheduled for May 29, 2026 at 10 a.m. PT / 7 p.m. CET.