Merative Cúram CER: Agentic AI Revolutionizes Social Eligibility
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A Digital Transformation of Eligibility Rules
The ambitious project to migrate the eligibility rules of Merative Cúram CER to an Agentic AI architecture marks a turning point in the management of government welfare systems. This initiative, which builds on twenty years of complex rules, aims to create a self-healing, AI-native eligibility engine.
Public Data at the Heart of the Process
The initiative relies entirely on publicly accessible information, such as official documentation, audit reports, and industry publications. No proprietary or confidential data has been used, thus ensuring the transparency of the process.
Challenges and Technological Innovations
Migrating eligibility rules to a new AI architecture presents significant challenges. Traditional methods often fail due to insufficient documentation and reliance on legacy systems. To overcome these obstacles, a reference implementation has been developed, integrating an OWL ontology, a Model Context Protocol (MCP) server, and an agentic orchestration layer.
Towards More Transparent and Adaptable Systems
This new approach aims to make welfare systems more auditable, transparent, and maintainable. It allows policy analysts to adapt to legislative changes without requiring the intervention of specialized developers, thereby making systems more responsive and scalable.
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