Keynote focus — Agentic AI applied to HRCM
In his keynote, Giritharan articulated pragmatic, enterprise-grade approaches for using Agentic AI to modernize RCM workflows. Highlights included:
- Leveraging Agentic AI to automate end-to-end billing, claims adjudication, and revenue optimization.
- Using predictive models for denial forecasting and prioritized appeals to recover lost revenue faster.
- Breaking down data silos and simplifying integrations so disparate systems (EHRs, clearinghouses, and billing platforms) work as one.
- Addressing change management: practical steps for governance, audit readiness, and clinician-friendly automation adoption.
- Ensuring data integrity, transparency, and compliance when AI makes or recommends decisions.
Why this matters to U.S. healthcare providers
Agentic AI is more than automation — it’s a decision-making engine that can drive measurable gains for U.S. providers, especially specialty practices and ASCs:
- Lower denial rates & faster appeals: AI-driven denial prediction and automated appeals workflows improve cash flow.
- Higher clean-claim rates: Automated scrubbing and intelligent validation reduce rework and resubmissions.
- Shorter AR cycles: Prioritization engines focus teams on high-value tasks, accelerating collections.
- Stronger compliance & audit readiness: Traceable AI decisions and governed automation support regulatory requirements.
- Scalable operations: Agentic AI enables rapid scaling without linear increases in headcount or operational risk.
BIS approach — integrity + intelligence + outcomes
BIS is uniquely positioned to bring Agentic AI into production for RCM because the company pairs:
- Domain expertise in medical billing, coding, denials management, and specialty workflows (including pain management and ASCs).
- Technical experience building governed automation and integrations with enterprise tooling like UiPath.
- A people-first change framework that ensures clinicians, coders, and RCM teams adopt AI safely and effectively.
Takeaways from the conference
- Agentic AI can be implemented responsibly today to deliver quick wins (denials, clean claims) while building toward strategic transformation (full-lifecycle RCM optimization).
- Successful deployments require governance, data strategy, and measurable KPIs tied to financial outcomes.
- Providers who pair domain expertise with ethical AI governance will see better ROI and lower operational risk.
Ready to harness Agentic AI for your revenue cycle?
If your organization wants to reduce denials, streamline billing, and scale revenue capture across ASCs and specialty practices, BIS can help translate Agentic AI into audited, compliant, revenue-positive outcomes.
👉 Follow @bisindiasocial for event highlights and reach out to explore tailored AI-powered RCM solutions.
Gallery
Participants
Giritharan Rengarajan
Country Head – BIS India