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A Fortune 25 U.S. Payer Improves Enrollment Efficiency and Reduces TAT by 50% Leveraging AI-Assisted Member Enrollment Optimization

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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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