Paramean Solutions is a healthcare actuarial, analytics, and financial strategy consulting firm specializing in value based care (VBC) transformation. Through its proprietary Insights One platform, Paramean helps providers monitor financial performance using real time analytics. As contracts became more complex, Paramean needed an AI financial assistant to interpret contract terms, analyze settlement data, answer financial questions, and deliver trusted financial insights.
Problem: Manual settlement analysis limits AI financial assistant adoption
Managing value based care settlements requires healthcare organizations to interpret lengthy contracts, reconcile financial benchmarks, analyze gain share calculations, and investigate settlement variances across multiple provider organizations. These activities depended on experienced financial analysts who manually reviewed contracts, queried client specific data, and validated every financial calculation before delivering recommendations.
The manual workflow delayed financial reporting, limited scalability, and made it difficult for providers to understand how contract terms influenced settlement outcomes. Users also struggled to connect dashboard metrics with the contract clauses driving financial performance, reducing confidence in forecasts and slowing decision making.
Solution: AI financial assistant for value based care settlement management
GoML applied its Agentic AI blueprint to build Mila, an AI financial assistant embedded directly into Paramean's Financial Settlement Module. Mila combines contract intelligence, secure data access, retrieval augmented generation, and natural language analytics to provide expert level financial guidance while maintaining complete auditability and strict client data isolation.
Intelligent contract interpretation with an AI financial assistant
The AI financial assistant understands complex value based care contracts and explains how individual contract clauses influence settlement calculations, reimbursement models, and dashboard metrics.
Key capabilities:
• Interpret complex value based care contracts
• Answer natural language questions about reimbursement models
• Explain quality measures and financial terms
• Cross reference multiple contract documents
• Connect contract clauses with settlement metrics
• Provide responses with verifiable source attribution
Financial data analysis powered by an AI financial assistant
The AI financial assistant securely analyzes financial settlement data using Model Context Protocol (MCP) and client specific Snowflake environments.
Key capabilities:
• Execute natural language SQL queries
• Analyze client specific Snowflake datasets
• Process benchmark adjustments
• Calculate gain share waterfalls
• Explain reconciliation variances
• Generate trend and performance analysis
Proactive financial insights from an AI financial assistant
The AI financial assistant continuously evaluates settlement performance to identify opportunities and financial risks before they affect business outcomes.
Key capabilities:
• Forecast settlement outcomes
• Monitor financial performance trends
• Detect contract risks
• Highlight optimization opportunities
• Explain financial drivers behind projected results
• Generate actionable financial recommendations
RAG powered contract retrieval for the AI financial assistant
The AI financial assistant combines retrieval augmented generation with semantic search to deliver accurate and trustworthy responses from contract documents.
Key capabilities:
• Search PDF contract repositories
• Retrieve relevant contract clauses
• Perform semantic document search
• Link dashboard metrics to contract metadata
• Cite every response with supporting evidence
• Support multi document reasoning
Secure enterprise architecture for the AI financial assistant
The AI financial assistant protects sensitive healthcare financial information through secure multi tenant architecture and client specific access controls.
Key capabilities:
• Model Context Protocol authentication
• Client specific data segregation
• Role based access control
• Zero PHI exposure through summarized responses
• Complete audit trails
• Secure interaction logging
Impact
• 70%+ faster contract interpretation through AI-powered natural language analysis
• 60%+ reduction in manual financial settlement investigation
• 2x faster access to settlement insights and financial forecasts
• 100% source attribution for AI-generated responses with complete auditability
• 99.9% platform availability target for enterprise deployments
• Under 7-second response time (P95) for standard financial queries
About
Before Gen AI and after Gen AI
“With an AI financial assistant, Paramean transformed complex value based care settlement analysis into faster, trusted financial insights.”
Prashanna Rao, Head of Engineering, GoML
Key takeaways for AI financial assistant platforms
Common challenges
• Complex value based care contract interpretation
• Manual financial settlement reconciliation
• Slow financial investigations
• Limited access to healthcare financial expertise
• Difficulty connecting contract terms with settlement performance
Practical guidance
• Build an AI financial assistant that combines contract intelligence with financial analytics.
• Ground every financial response with verifiable source attribution.
• Use retrieval augmented generation to improve contract search accuracy.
• Secure client data through tenant isolation and role based access controls.
• Embed AI directly into existing financial analytics workflows
Ready to build an AI financial assistant?
Partner with GoML to build secure AI financial assistant solutions for healthcare organizations with AI Matic.
