AI Agents Automate Claims Follow-Up for Healthcare Organizations

Use case typeClaims automationUpdated Jun 13, 2026

Outbound AI’s Claims Work solution offers healthcare organizations the ability to automate repetitive, exception-based, and denied claims follow-up through Microsoft-powered AI agents. These agents are integrated into the Outbound AI service platform, enabling seamless operation alongside existing billing systems and clearinghouse solutions. The platform enables 24/7/365 operations, allowing AI agents to handle large volumes of claims-related tasks far more efficiently than human staff. On-demand scalability lets organizations flex throughput based on need. Implemented out-of-the-box with support for most major payers, the solution is suitable for health systems, physician groups, RCM/billing companies, and technology providers such as EHR platforms. The deployment aims to relieve staff from high-burden clerical work, optimize human resource allocation on strategic tasks, and scale billing operations without a proportional increase in labor costs. The claims process is supported with transparent reporting and data access for improved reconciliation and auditability. Organizations employing the solution reportedly reduce operational costs and improve employee effectiveness in claims handling, allowing for higher claim throughput and faster payment cycles.

Industry
Healthcare
Location
Global

Reported outcomes

−80%

costCost savings

5xtime

Strategic outcomes

Cost efficiencyReduced operational costsSpeed & agilityAccelerated claims processingEmployee experienceFreed staff for strategic workScale & capacityHandled more claims without headcount growth

Catalog median for cost savings deployments: −45% across 345 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

  • 1Automated Claims Follow-Up Using AI Agents
  • 224/7 Healthcare Billing Automation
  • 3AI-Powered Denied Claims Resolution
  • Manual claims follow-up was labor-intensive and inefficient for healthcare organizations.
  • High volume of phone calls, faxes, and portal queries hindered collections and drained margins.
  • Employers faced increased human work burden, leading to lower effectiveness and staff dissatisfaction.
  • Operational costs remained high due to the inability to efficiently scale follow-up processes.
  • Inadequate use of data and lack of transparency limited process improvement.
  • Implemented Microsoft-powered AI agents in the Outbound AI platform for claims follow-up.
  • Enabled 24/7/365 AI-driven claims management for health systems and billing companies.
  • Complemented existing billing and clearinghouse technologies without disruption.
  • Out-of-the-box, major payer support streamlined implementation and integration.
  • Provided transparent and scalable AI operations for continuous claims follow-up.
Technologies
  • Reduced operational costs by up to 80%.
  • AI agents operate 4-5 times faster than humans in claims processing.
  • Freed up staff to focus on high-value and strategic work.
  • Enabled organizations to handle greater claim volumes without increasing headcount.
Implementation partners1
Sources & evidence2
Groundedness: Unavailable

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases

Was this useful?