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Medicare Platform
Advantage Plan Management
Engagement Model: Dedicated Team Deployment
Client Industry: HealthTech / Risk Adjustment / Quality / InsurTech
Executive Overview
A rapidly expanding HealthTech innovator is developing an AI-powered Medicare Advantage platform tailored for mid-market health plans and risk-bearing providers. The comprehensive solution unifies risk adjustment, quality management, member and provider portals, and real-time analytics to enhance care outcomes, revenue accuracy, and operational efficiency.
As the platform transitioned from pilot to full commercial deployment, the organization required a dedicated engineering partner aligned with their internal roadmap to accelerate feature delivery and sustain continuous product innovation.
The Challenge
The client’s internal engineering team managed multiple complex modules including risk adjustment, claims processing, AI-powered chart review, and performance analytics while navigating stringent compliance requirements.
Strategic imperatives included:
- Rapidly scaling engineering capacity without increasing permanent headcount
- Developing and enhancing multiple feature modules within a unified agile roadmap
- Ensuring architectural compliance with CMS/HHS regulations and healthcare data standards
- Delivering high performance and reliability across multi-tenant production environments
Solution Approach
Rays Techserv functioned as an integrated engineering extension, embedding directly into the client’s product roadmap and delivery operations.
Key Deliverables – Core Contributions
- Team Integration: Deployed a blended team of backend developers, QA engineers, and integration specialists operating within the client’s agile structure.
- Module Development: Delivered critical product components including analytics dashboards, claims automation, provider insights, and AI-driven chart review functionality.
- Architecture Enhancement: Collaborated with technical leadership to refine cloud infrastructure, optimize performance benchmarks, and ensure scalability for enterprise clients.
- Delivery Alignment: Maintained sprint-based progress tracking, shared visibility dashboards, and weekly roadmap synchronization to ensure milestone achievement.
Engagement Framework
- Resource Allocation: Dedicated remote engineering team aligned with the client’s strategic roadmap
- Project Timeline: Ongoing partnership with quarterly roadmap reviews
- Collaboration Infrastructure: Jira • GitLab • Slack • Cloud CI/CD pipelines
- Delivery Model: Embedded team operating as a seamless extension of the client’s product organization
Results & Impact
- 25%+ reduction in product delivery timelines through continuous parallel sprint execution
- Substantially improved platform stability and performance across multi-tenant environments
- Enabled organizational scaling without hiring overhead, maintaining agility during market expansion
- Strengthened compliance posture and system reliability, ensuring readiness for broader enterprise adoption
Technology Stack
Node.js
Python
REST APIs
Cloud Infrastructure (GCP)
Multi-Tenant Architecture
AI/ML Integration
Data Analytics & Dashboards
