The AI Agent is designed to support use cases across the healthcare spectrum, from chat-based assistants for doctors to automating EHR data entry and powering clinical decision support workflows.
Key Attributes
Domain-Specific Reasoning
Fine-tuned reasoning layers optimized for healthcare language, workflows, and compliance needs.
Multi-Agent Architecture
Corti Agentic Framework uses a state-of-the-art multi-agent architecture to enable greater scale, accuracy, and resilience in AI-driven workflows.
Memory and Thread Management
Maintain persistent, context-aware conversations and manage multiple active threads without losing information throughout the session.
Ecosystem of Prebuilt Experts
Access a library of prebuilt Experts—specialized agents that connect to data sources, tools, and services to execute clinical and operational tasks.
MCP Support
Build and integrate your own Experts using the MCP standard. Each MCP integration is wrapped in its own reasoning service, automatically giving it powerful expert agent capabilities.
Third-Party Integrations
Plug directly into EHRs, clinical decision support systems, and medical knowledge bases with minimal setup.
Run-time Context
Pass relevant context with each query, including structured data formats like FHIR resources, enabling Experts to work with rich, domain-specific information.
Artifacts
Make use of structured outputs from Experts ready for downstream use.
Language and Code Switching
Support for multi-language interactions and switching between natural language and domain-specific code or queries.
Tracing and Auditing
Track every decision, action, and data access across your agents for transparency, compliance, and quality assurance.
Please contact us if you need more information about the Corti Agentic Framework.