AI LED BUSINESS TRANSFORMATION • HEALTHCARE
Transforming Healthcare Revenue Recovery with Agentic AI
CLIENT
Our client is a multi-specialty healthcare provider that operates healthcare and allied service institutions across Maharashtra. The organization manages large volumes of patient billing, insurance claims, and receivables, requiring efficient revenue cycle management and timely payment recovery processes.
CHALLENGES
Healthcare revenue collection processes were largely dependent on manual tracking, static reports, and reactive follow-up mechanisms. While overdue payments could be identified, finance teams lacked the intelligence required to prioritize cases, predict outcomes, and determine the most effective recovery actions.
- Limited Actionable Insights: Existing dashboards provided visibility into outstanding payments but offered little guidance on what actions would maximize recovery.
- Rising Write-Off Risk: Long-outstanding invoices and inconsistent follow-up processes increased the risk of payment write-offs and revenue leakage.
- Inefficient Collections Workflows: Collection teams relied on manual outreach and generic communication strategies that failed to account for individual payer behavior.
- Fragmented Data Sources: Critical information existed across multiple HMIS systems, creating challenges in data quality, standardization, and decision-making.
- Lack of Personalization: Recovery efforts were not tailored based on historical payment behavior, payer profiles, or channel preferences, reducing engagement effectiveness.
SOLUTIONS
Technossus developed an Agentic AI-powered Revenue Intelligence Platform designed to automate collections, predict recovery outcomes, and recommend optimal intervention strategies.
The solution included:
AI-Powered Next Best Action Engine: The platform analyzes payment history, behavioral patterns, aging buckets, and communication data to recommend the most effective action for each outstanding account.
Predictive Recovery Intelligence: Machine learning models assess write-off risk, payment probability, and expected recovery timelines, enabling finance teams to prioritize high-value opportunities.
Dynamic Intervention Playbooks: AI-generated recovery playbooks recommend personalized outreach sequences, communication channels, incentives, and escalation paths for each account.
Multichannel Communication Automation: The solution orchestrates intelligent engagement through email, WhatsApp, SMS, and voice channels while tracking interactions and outcomes.
Behavioral Risk Profiling: Every patient, payer, and account receives a dynamic behavioral scorecard based on payment history, responsiveness, outstanding balances, and risk indicators.
CFO Decision Intelligence: A dedicated executive dashboard enables finance leadership to review, approve, and govern high-value settlements, incentives, and policy decisions.
HMIS Data Intelligence Layer: AI acts as a normalization engine that transforms fragmented and inconsistent HMIS data into a structured, analytics-ready format.
IMPACT
