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A fortune 25 us payer improves enrollment efficiency and reduces tat by 50 leveraging ai assisted member enrollment optimization
A Fortune 25 U.S. Payer Improves Enrollment Efficiency and Reduces TAT by 50% Leveraging AI-Assisted Member Enrollment Optimization
Overview
A Fortune 25 U.S. payer initiated a strategic effort to streamline member enrollment operations and improve processing efficiency.
To reduce delays, enhance quality, and strengthen operational scalability during peak enrollment periods, the organization needed a strategic partner to optimize its enrollment processes and workforce model.
Challenges
Process Complexity & Delays
High complexity and volume in enrollment processes led to delays in application processing and coverage activation
Increased turnaround times impacted customer experience and plan ratings
Quality & Rework Issues
Manual processes resulted in documentation errors and rework
High error rates affected compliance and operational efficiency
Workload & Capacity Constraints
Ineffective prioritization and workload management led to missed SLAs
Insufficient staffing and high dependency on experienced resources created backlog
Technology Limitations
Multiple intake sources and fragmented data systems increased manual effort
Absence of advanced matching rules and automation capabilities
Distributed data across systems, spreadsheets, and workflows limited efficiency
Solution
Coforge implemented an AI-assisted Member Enrollment Optimization framework combining process, technology, and workforce transformation.
Process Optimization & Governance
Streamlined enrollment workflows using AI-assisted process automation
Established a robust quality framework with transaction monitoring
Implemented structured prioritization and inventory management
Workforce Transformation
Deployed experienced SMEs with a plug-and-play model
Cross-trained resources to enable dynamic load balancing during peak periods
Introduced a flexible staffing model for Annual Enrollment Period (AEP)
Technology Enablement
Built an omni-channel intake model for multiple enrollment sources
Implemented MIS and dashboards for real-time tracking and prioritization
Enhanced reporting visibility for operational decision-making
Training & Knowledge Framework
Developed structured training and certification programs
Created Knowledge Banks, checklists, and process maps to standardize execution
Enabled faster onboarding and reduced learning curve
The Impact
50% Reduction in Turnaround Time Enrollment processing time reduced from over 4 days to less than 1 day within 6 months.
100% Quality Achievement Consistently achieved near-perfect quality scores (99.99%), exceeding target benchmarks.
20% Productivity Improvement Reduced rework and improved process efficiency led to higher workforce productivity.
15% Reduction in Manual Rework Improved accuracy and automation minimized manual intervention and errors.
Faster Workforce Readiness Reduced hiring-to-production time to 6 weeks , enabling rapid scaling during peak periods.
Full Operational Ownership Coforge assumed 100% ownership of assigned work queues, improving transparency and reducing dependency on client teams.
Scalable Operating Model Dynamic workforce and process model ensured optimal output during peak enrollment cycles.
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