Webinar Overview
For a roofing & building material manufacturer, the product is made in one place and judged in another. It moves to the job through distributors who stock and deliver it, and it goes on the roof through independent contractors. The answer to a technical question sits with the manufacturer, while the person asking stands on a job that is already moving. Materials, labor, and measurements have to line up before the work is done, not after. Getting current, accurate information to that point of decision is the quiet work behind aftermarket support.
Gary Serbousek opens a fireside conversation with Greg Colletto, Director of Design Services at GAF, on where AI Agents are starting to help across the roofing aftermarket. They talk through emerging inspection technology that validates work in the field, the difference between customer care and technical support and how AI sharpens each, and the data management that puts current pricing and product information in front of distributors and internal teams. A practical look at what is working today and what comes next.
Register Now
Speakers
Greg Colletto
Gary Serbousek
What You'll Learn
Inspections That Stand as Evidence
Field inspections verify sizes and confirm the work and the damage before, during, and after the job, so the data holds up later, including on a warranty claim, and feeds the rest of the business.
Customer Care and Technical Support Are Two Jobs
Customer care handles ordering, plant availability, and material runs. Technical support answers how a product performs and how it should be applied, across commercial and residential. Learn how AI Agents can support each.
One Source of Truth Across the Channel
When distributors and contractors can see the latest pricing and product details, the whole channel sells and installs from the same information instead of chasing down different versions of it.
Where Self-Service Starts
Clean, validated data from the field and up-to-date product information are what make digital purchasing and self-service work, so buyers and partners can find answers themselves instead of waiting on them.
More Completed Jobs,
Same Crew
The right technician, parts, and information on the first visit
AI Assists, Dispatchers
Decide
AI Agents do the heavy lifting; dispatchers keep the final call
From Rules
to Production
Business rules to a data platform as the data matures
Who Should Attend
Aftermarket & Support Leaders
Heads of customer care and technical support who own answer accuracy and field the questions that need a definitive answer.
Channel & Field Operations Leaders
Leaders enabling distributors and contractors, focused on getting jobs validated the first time and current information into the field.
Digital & Data Leaders
Teams building the foundational data, digital purchasing, and self-service behind a manufacturer's aftermarket.
Ready for the Next Generation of Credit Decisioning?
See how modern credit insights, AI-powered workflows, and connected lending platforms can help
your organization move faster with greater confidence.
FAQs
This webinar explores how AI Agents turn dispatch and triage into service margin for commercial HVACR service teams. The session focuses on putting the right technician, parts, and information on the first visit, with dispatchers keeping the final call.
This webinar is designed for commercial HVACR service leaders, aftermarket and field service heads who own technician utilization and margin, and digital and AI executives evaluating production grade AI for dispatch and triage.
AI Agents combine classical machine learning and business rules to read intake, match the right technician and parts to the job, and triage before the truck rolls, so more jobs are completed on the first visit while dispatchers stay in control.
The webinar covers outcomes such as first time fix rates of 80 to 90%, 10 to 20% lower mean time to repair, 20 to 30% better SLA compliance, higher billable utilization, and stronger service margin from the crew you already have.
Commercial jobs hide components within the component, so intake, dispatching, and triage carry more risk. One wrong assignment cascades into repeat visits, idle capacity, and missed commitments that erode service margin on already thin jobs.
Yes. The session maps a practical path from business rules and classical machine learning to a data platform as the data matures, tackling data readiness, integration, and human in the loop design.
The webinar is a 30 minute session.
The webinar is scheduled for July 31, 2026 at 10 a.m. PT / 7 p.m. CET.