Modernizing Claims Operations with Agentic Automation
Claims Operations Challenges for Healthcare Payers
Payers are dealing with rising claim volumes, more complex cases, and pressure to reduce administrative costs. Even with solid rules and bots, 15–20% of claims miss first pass adjudication and stall in pended queues. Unstructured data (attachments, notes) and constant configuration changes fuel manual rework, longer cycle times, and staff burnout—eroding member and provider experience.
Agentic Automation for Claims Adjudication — No Rip and Replace
Agentic AI adds an adaptive layer to your current environment. Emids’ Unified Claims Analyzer Agent classifies each pended claim and orchestrates micro agents for eligibility/COB, modifier fixes, duplicate detection, and provider contract adjustments. When confidence is low, humans stay in the loop with transparent rationale. Teams are seeing fewer manual touches and faster adjudication. (Results vary by environment.)
What You’ll Learn About Claims Automation
• Where agentic AI fits after first pass adjudication
• How agents handle unstructured inputs that break rules only automation
• A walkthrough of the Unified Claims Analyzer Agent and its micro agents
• Design patterns for pended queues and pre payment audits
• Governance & rollout: start small, keep oversight, and prove value quickly
Who Should Watch: Payer & IT Leaders
• Claims & operations leaders focused on fallout and cycle time
• Automation/AI leaders moving beyond rules based RPA
• IT/platform owners for Facets, QNXT, HRP, or custom systems