How AI Agents work together across a platform to transform healthcare

AI has gone from a futuristic concept to an undeniable necessity in healthcare. However, the number of technology vendors and tools has also grown with the adoption of technology, and it’s becoming a problem: vendor sprawl is leading to increasingly bloated tech stacks that drive up costs and complexity. 

True transformation requires more than isolated tools or point solutions. It requires a coordinated, intelligent infrastructure that can operate across departments, adapt to workflows, and scale with the system's evolving needs. 

This is where AI Agents come in. 

The roles of AI Agents in healthcare

AI Agents are specialized digital workers that can perform tasks traditionally handled by human staff, such as registering patients, verifying insurance, triaging referrals, scrubbing charts, or coordinating follow-up care. 

They’re designed to support everything from contact center operations and clinical documentation to revenue cycle management and care coordination. AI Agents operate as a digital extension of your team, helping health systems reduce manual work, improve accuracy, and enhance patient engagement. 

How AI Agents work together across a platform

Rather than functioning in silos, AI Agents are connected through a unified platform, allowing them to interact, share data, and automate end-to-end workflows across departments. Each Agent is specialized but designed to integrate seamlessly with others, creating a flexible, intelligent operating model for healthcare organizations. 

These Agents collaborate in real time using structured and unstructured data from the EHR and other systems. With a single source of truth and an elastic network of digital workers, healthcare systems can reimagine what operational efficiency looks like. 

Here are a few examples of how Notable’s AI Agents work together across the platform:

Streamlining prior authorizations

When a prior authorization order is created in the EHR system, the event immediately triggers the first AI Agent to gather essential patient demographics and insurance details, and to conduct a comprehensive chart review to compile the clinical documentation packet required for authorization. This Agent hands off the prepared case to a second AI Agent, which submits the authorization request to the appropriate payer using their specific requirements and protocols, then updates the order status in the EHR with the response data. 

When the authorization status shows as pending, a third AI Agent monitors and performs status checks, keeping the clinical team informed of any developments or additional requirements. Once the authorization receives approval, a fourth AI Agent engages the patient via SMS to coordinate scheduling, matching provider availability with patient preferences and automatically booking the appointment. 

These four specialized AI Agents orchestrate a complete prior authorization workflow, from clinical documentation preparation through final appointment scheduling. Their collaboration transforms what was once a multi-day, manual process into an automated patient care experience.

Collaborating from pre- to post-visit 

AI Agents can also kick off a patient’s journey at a health system, automating patient registration, insurance verification, and intake documentation before they arrive for their appointment. After their visit, another AI Agent validates documentation and coding for billing, generates claims, and initiates digital patient billing. If there’s an outstanding balance, another AI Agent can send personalized reminders to patients with convenient payment options, all without human intervention. 

Closing care gaps quickly and efficiently  

AI Agents can also act proactively to identify any gaps in a patient’s care. Before a visit, an AI Agent reviews the patient’s EHR to identify specific gaps in preventive or chronic care. If routine screenings or follow-ups are overdue, it flags them and delivers actionable recommendations directly within clinicians’ workflows, prompting providers to address care gaps during visits. After the visit, this information is passed to another AI Agent that automatically reaches out to the patient to schedule any necessary follow-up appointments, closing the gap quickly and efficiently to improve patient and population health outcomes. 

An elastic, digital workforce 

When AI Agents can collaborate across the entire operational landscape, they become more than automation tools; they form an elastic, digital workforce. Health systems can scale operations without proportional increases in staffing. Administrative time is reduced, clinical teams have more time with patients, and patients enjoy a seamless, proactive care experience. 

By deploying AI Agents across a unified platform, healthcare organizations position themselves to thrive, even in the face of mounting complexity. The future of healthcare won’t be defined by the number of staff hired, but by the intelligent orchestration of humans and AI working side by side.