The evolution of the revenue cycle builds on today’s multimodal approach

The revenue cycle of the future will not be defined by a single channel. The industry is moving away from task-oriented work and toward more proactive, exception-based operations, with AI and workflow redesign giving teams a chance to reduce cost to collect and focus more effort upstream.  

This evolution started in revenue cycle operations and first tackled the most painful bottleneck: the payer phone call. But the deeper problem was never just the phone. Payer-provider communication was fragmented across disconnected systems, portals and workflows, so what began as voice automation has grown into a broader effort to modernize how administrative work gets done.  

Today, AI agents orchestrate payer-bound work across multiple modalities — electronic data interchange, application programming interface, portal and voice — routing each request through the fastest available channel and reserving calls as the final fallback when needed. A request can be broken into discrete data elements, with each routed to the best source, traced across channels, and synthesized into a single structured result. 

That multimodal approach is key to the future revenue cycle because it is not about automating one task at a time. It is about enabling fully automated AI agents that can complete high-volume workflows end to end, from benefits verification and prior authorization to claim status and denials follow-up, while flowing results back into operational systems and triggering next best actions. This capability gives revenue cycle teams more room to focus on exceptions, root-cause fixes and the patient experience — areas that are central to the next phase of transformation.  

What does the future hold? The next chapter is not simply fewer phone calls. It is a more connected payer-provider ecosystem, where AI agents can retrieve, interpret and exchange information with far less friction. The long-term future is an AI-native network that enables more seamless AI-to-AI communication between payers and providers — and that starts with multimodal automation built for real revenue cycle work.  

Read more on how revenue cycle will be more likely to blend technology and human elements than others, in HFMA’s The Revenue Cycle of the Future report.