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The Corti Agentic Framework is a modular artificial intelligence system for software developers to build advanced AI agents that perform high-quality clinical and operational tasks, without having to spend months on complex architecture work.
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.

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What Problems It Solves

Modern LLMs are powerful, but on their own they are insufficient and unsafe for clinical use. The Corti Agent Platform addresses two fundamental gaps:

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1. LLMs Do Not Have Reliable Access to Clinical Data

LLMs cannot be trusted to rely on internal knowledge alone. In healthcare, responses must be grounded in clinically validated reference sources, real-time patient and system data, and customer-owned systems and APIs. Without access to these sources at runtime, models are forced to infer or guess, which is unacceptable in clinical settings. The Corti Agentic Framework addresses this by enabling agents to retrieve information directly from trusted external tools as part of their reasoning process. Instead of hallucinating answers, agents are designed to look things up, verify context, and base their outputs on authoritative data.

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2. LLMs Cannot Safely Act on the World

Clinical workflows require more than generating text. They involve interacting with real systems: querying EHRs, drafting and updating documentation, preparing prescriptions, and triggering downstream processes. The framework provides a controlled execution layer that allows agents to plan actions, invoke tools, and coordinate multi-step workflows while remaining within clearly defined safety boundaries. Where necessary, agents can pause execution, request human approval, and resume only once explicit consent is given. This ensures that automation enhances clinical workflows without bypassing governance or control.

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What You Can Build With It

Using the Corti Agent Platform, teams can build:
  • Clinician-facing assistants
    • Documentation editing
    • Guideline and reference lookup
    • Coding and administrative support
  • Programmatic agent endpoints
    • Embedded into existing clinical software
    • Triggered by events, APIs, or workflows
  • Customer-embedded agents
    • Customers bring their own tools and systems
    • Agents combine Corti, third-party, and customer capabilities
All of these share the same underlying agent runtime, safety model, and orchestration layer.

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Built for Healthcare by Design

Healthcare is not a general-purpose domain, and this platform reflects that reality. Key design principles include:

Safety First

Typed inputs and outputs, explicit tool schemas, and guardrails around action-taking ensure safe operation in clinical environments.

Auditability

Every decision and tool call is observable with replayable traces and structured logs for transparency, compliance, and quality assurance.

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 Context Management

Maintain persistent, context-aware conversations and manage multiple active contexts (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.

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.

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Who It’s For

The Corti Agent Platform is built for teams working on healthcare software. It is intended for:
  • Healthcare software companies embedding intelligent automation directly into their products
  • Enterprise customers building internal, AI-powered clinical workflows
  • Advanced engineering teams that need flexibility, control, and strong safety guarantees without building bespoke agent infrastructure from scratch
The platform is not limited to simple prompt-based chatbots. It is designed to make it easy to go from demo to production-grade clinical AI systems that operate safely in real-world healthcare environments.

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Agents vs. Workflows

Understanding the difference between agents and workflows helps you choose the right approach for your use case: Agents are autonomous systems that can think, reason, and adapt to new situations. They use AI to understand context, make decisions dynamically, and take actions based on the task at hand—even when encountering scenarios they haven’t seen before. Like a chef who can create a meal based on what’s available, agents excel at handling unpredictable, open-ended tasks that require flexibility and judgment. Workflows are structured, step-by-step processes that follow predefined paths. They execute tasks in a fixed order, like following a recipe or checklist. Workflows are ideal for repeatable processes that require consistency and compliance, such as automated approval processes or scheduled maintenance tasks. For workflow-oriented needs, you can leverage our toolkit of other APIs to orchestrate well-defined, repeatable flows throughout your solution. In the Corti Agentic Framework, agents leverage the Orchestrator to compose experts dynamically, adapting their approach based on the situation. Workflows, on the other hand, provide deterministic execution paths for tasks with well-defined steps and requirements—supported by our robust library of workflow APIs and integrations.
Please contact us if you need more information about the Corti Agentic Framework.