Webinar: AI at the Front Line: Rethinking Healthcare Access for Payers and Providers - Customer Management Practice

Webinar: AI at the Front Line: Rethinking Healthcare Access for Payers and Providers

October 30, 2026

Live Date: Tuesday, November 17th | 2PM ET

Join us live for our Healthcare Webinar for Providers/Payers and get lunch on us! We will be sending out $25 lunch gift cards to the first 50 attendees.

Healthcare access is where patient trust and payer-provider efficiency are won or lost – yet most organizations are still running access operations on fragmented tools, overworked call centers, and manual workflows that can’t keep pace with rising volume and member expectations. The result: long wait times, missed scheduling opportunities, claims and eligibility friction, and burned-out front-line staff.

This webinar brings together health system and payer leaders to examine how AI – deployed responsibly and at scale – is reshaping the front line of healthcare access. From patient scheduling and intake to member services and claims inquiries, the panel will explore where autonomous and AI-augmented operations are already delivering measurable impact, and where human judgment must remain central.

How This Webinar Will Address the Issues
Rather than treating AI as a bolt-on efficiency tool, this session frames access as a strategic capability that spans both sides of the healthcare relationship – provider and payer. Our panel of innovation, IT, and operations leaders will share firsthand experience deploying AI across contact centers, patient access teams, and member-facing functions, discussing:

Attendees will hear practical, real-world perspectives rather than theoretical frameworks – grounded in what’s actually working (and what isn’t) at the front line of care access today.

What Attendees Will Learn:

  1. Real examples of AI deployment across provider and payer access functions, including the barriers organizations have had to overcome
  2. How to manage the change management required to get clinical, operational, and front-line teams to actually adopt and trust AI-enabled workflows
  3. How to do this without overwhelming existing IT infrastructure – scaling AI access capabilities without a rip-and-replace of current systems