Healthcare organizations have modernized much of the revenue cycle, yet one of the most fragile points remains unchanged: fax-driven document intake that still arrive in formats that require staff to open, interpret, and re-key information before work can even begin. As volumes grow and staffing remains constrained, these document-driven workflows quietly erode both efficiency and revenue. In this live demo, Stuart and Jonthan begin with a candid discussion of what providers are still experiencing at the front door of revenue—and why traditional tools have failed to meaningfully reduce the burden. From there, they demonstrate how AI agents change the model entirely. Discover how modern document capture enables measurable outcomes: faster processing times, reduced manual effort, improved workload balance, and greater operational stability. Built for leaders focused on measurable outcomes, this session explores how AI can absorb growing document volumes, stabilize staffing models, and accelerate revenue-related workflows—without increasing headcount or disrupting existing EHR and RCM systems.
Learning Objectives
By the end of this session, participants will be able to:
- Understand how fax-driven document workflows directly impact staffing, efficiency, and revenue flow
- Identify why traditional document automation tools fall short in real-world healthcare operations
- Explain how AI agents reduce manual intervention while preserving accuracy and control
- Recognize how improved document intake stabilizes workforce models and downstream workflows
- Evaluate document capture as a foundational capability for revenue cycle performance
Request a demo of our revenue solutions to learn more.