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Improving CX Through AI-Powered Claims & Deductions

Watch this webinar to come away with best practices for improving inefficient claims and deductions. See how AI-driven automation can positively transform your process!

April 17, 2025 45 Minutes

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What you'll learn?

If you’re tired of poor claims and deductions management negatively impacting your margins, productivity and customer relationships, this webinar’s for you. Led by an expert panel featuring Matt Kulas (Esker) and Kurtis Heister and Bryan DeGraw (The Hackett Group), you’ll learn how powerful AI capabilities like machine learning deep learning and natural language processing (NLP) can deliver measurable business benefits by helping your team:

Centralize & analyze all incoming claims information, regardless of channel

Streamline cross-department collaboration to facilitate timely resolution & reduce losses

Enhance visibility over receivables & revenue with user-friendly dashboards & analytics

About the hosts

Bryan DeGraw

Associate Principal, Finance Advisory Services, The Hackett Group

In leading the Customer-to-Cash Process Advisory Program, Bryan provides insight and guidance focused on leveraging best practices to improve process effectiveness and efficiency

Kurtis Heister

I2C Strategic Solution Manager, Esker

Kurtis is the Invoice-to-Cash Solutions Manager at Esker, where he helps organizations streamline and automate their O2C processes. With over 15 years of experience in the I2C space, he has led the design, implementation, and evolution of Order-to-Cash tools across a wide range of industries

Matt Kulas

Business Development Manager, Esker

Matt joined Esker in 2013 and assists companies who desire to decrease their manual efforts, increase visibility, and efficiency within their customer service and order entry processes. He works with sales and customer service leaders to help guide them in automating customer service and order entry processes; this process change allows business to repurpose the energies of their team to more meaningful and value-added tasks

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