Webinar Overview
Service contracts are among the steadiest revenue lines in the aftermarket, yet many are still priced the way they were a decade ago: a rate card, a cost-plus markup, or last year’s price with an uplift. That approach ignores what each contract actually costs to serve. Contracts on hard-working, aging, or failure-prone equipment quietly lose money, while contracts on well-behaved equipment are priced so high that customers walk away at renewal. And as contract books grow, every pricing miss gets bigger.
Malathi Sompalli joins Petchiraj Piramuthu of Tavant to show how AI Agents price each contract on its own facts. Drawing on service history, warranty claims, equipment age and usage, and parts and labor costs, these agents score the risk and cost to serve of every contract at quote time, recommend the right price and coverage, and flag contracts that lose money or are likely to churn well before renewal. Malathi shares what it takes to start: where contract data lives and what is enough to begin. The result is not just better-priced contracts. It is a service contract business that grows margin and keeps customers.
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Speakers
Malathi Sompalli
Petchiraj Piramuthu
Key Takeaways
Where Contract Pricing Breaks
Rate cards, cost-plus markups, and annual uplifts set the price, while the real cost to serve sits scattered across service, warranty, and parts systems.
Pricing Each Contract on Its Own Facts
AI Agents combine service history, equipment age and usage, failure patterns, and parts and labor costs to score the risk and cost to serve of every contract at quote time.
Renewals as a Pricing Moment
Instead of a blanket increase, AI flags contracts that lose money, customers likely to walk, and coverage that no longer fits, so teams can act before the renewal date.
People Stay in Charge
AI recommends, and pricing and contract teams decide. We close with a practical first step that starts with the contract and service data teams already hold.
Price on the True Cost to Serve
Every contract scored on its
own risk at quote time
Renewal Is a Pricing Moment
Reprice, restructure, or retain
before the customer walks
AI Recommends, Teams Decide
Pricing and contract teams
keep the final call
Who Should Attend
Service Contract & Aftermarket Revenue Leaders
Leaders who own service contract profitability, renewals, and attach rates
Service Operations Leaders
VPs of Service and Service Operations Directors who see the cost to serve in every visit, part, and SLA commitment
Pricing, Finance & Data Leaders
Pricing analysts, aftermarket finance teams, and data leaders building the models behind contract pricing
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FAQs
This webinar explores how AI Agents help manufacturers and service providers price every service contract on its true cost to serve, protecting margin at quote time and keeping customers at renewal.
It is designed for service contract and aftermarket revenue leaders, service operations leaders, and the pricing, finance, and data teams behind contract pricing.
Most contracts are priced from rate cards, cost-plus markups, or annual uplifts, while the real cost to serve sits scattered across service, warranty, and parts systems. Some contracts lose money as a result, and others are priced high enough to lose the customer at renewal.
AI Agents combine service history, warranty claims, equipment age and usage, and parts and labor costs to score the risk and cost to serve of each contract, recommend price and coverage, and flag contracts that lose money or are likely to churn.
Yes. AI recommends, and pricing and contract teams make the final decision.
The webinar covers outcomes such as up to a 30% increase in contract profitability, up to a 25% increase in renewal rates, and up to a 15% reduction in operational costs.
The webinar is a 30 minute session.
The webinar is scheduled for October 23, 2026 at 10 a.m. PT / 7 p.m. CET.