UiPath has launched a comprehensive agentic AI suite specifically designed to transform and modernize revenue cycle management (RCM) operations in healthcare organizations. The new capabilities enable autonomous AI agents to handle end-to-end RCM processes including insurance verification, prior authorization, claims processing, denial management, payment posting, and patient billing reducing manual effort, accelerating cash flow, and minimizing revenue leakage for hospitals, health systems, and payers.
Glimpse:
The UiPath Agentic AI Suite for Healthcare introduces goal-oriented, autonomous agents that can independently plan, execute, and adapt multi-step RCM workflows using real-time data from EHRs, payer portals, and billing systems. Key features include intelligent exception handling, predictive denial prevention, automated follow-up on unpaid claims, and dynamic patient financial engagement. Early adopters report 40–65% reductions in manual touchpoints, faster clean claim rates, and improved net collection rates, with full compliance to HIPAA, 21st Century Cures Act, and CMS interoperability rules.
UiPath, the global leader in robotic process automation and agentic AI, has officially rolled out its new Agentic AI Suite tailored for healthcare revenue cycle management (RCM). The announcement was made during a dedicated healthcare innovation briefing at UiPath’s annual customer summit, where the company demonstrated how autonomous AI agents can now take over large portions of the traditionally labour-intensive RCM workflow.
Unlike traditional RPA tools that follow rigid scripts, UiPath’s agentic AI agents are goal-driven: they can interpret unstructured data (such as scanned insurance cards, physician notes, or denial letters), reason across multiple systems (EHRs like Epic and Cerner, payer portals, clearinghouses), make decisions, take corrective actions, and escalate only when human judgment is required. This allows them to handle complex, variable processes end-to-end with minimal supervision.
Core RCM processes now powered by agentic AI include:
Real-time eligibility verification and benefit checks across multiple payers
Automated prior authorization requests and status tracking
Intelligent charge capture and coding assistance with CDI (clinical documentation improvement) prompts
Proactive claims scrubbing, scrubbing rule customization, and denial prediction using historical payer behaviour
Autonomous follow-up on denied or underpaid claims with appeal letter generation and resubmission
Patient financial engagement personalized payment plans, financial assistance screening, and outbound communication
Payment posting, reconciliation, and bad debt prediction
UiPath highlighted that the suite integrates natively with major EHRs, billing systems (e.g., Infor, Meditech, Allscripts), and clearinghouses, while maintaining full audit trails, role-based security, and explainable decision logs for compliance and governance. The agents are trained on de-identified healthcare datasets and can be further customized with organization-specific rules and payer contracts.
Early pilot customers, including several large U.S. health systems and regional hospitals, have reported dramatic improvements: clean claim rates rising from 85% to 94%, average denial write-off reduction of 35%, and staff time freed up for patient-facing activities. The solution also supports value-based care by linking RCM performance to quality metrics and STAR ratings.
UiPath executives emphasized that the agentic AI approach is designed to work alongside human teams, not replace them. Agents handle routine and repetitive work while surfacing insights and exceptions for clinical and financial staff to review and approve. The company also committed to continuous monitoring for bias, fairness, and regulatory alignment, particularly around CMS prior authorization rules and interoperability mandates.
The suite is available immediately for UiPath enterprise customers in healthcare, with pre-built accelerators and rapid deployment packages for Epic, Cerner, and Meditech environments. UiPath plans to expand the offering with additional agents focused on utilization management, contract management, and patient access in the coming quarters.
This launch positions UiPath as a frontrunner in applying agentic AI to one of healthcare’s most costly and complex administrative functions revenue cycle management where inefficiencies currently cost U.S. providers tens of billions annually.
“Revenue cycle management has been stuck in manual processes for decades. With agentic AI, we are finally giving RCM teams the intelligence and autonomy they need to work faster, smarter, and more accurately while keeping humans in control of every critical decision.”
By
HB Team
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