Healthcare AI startup Corti has launched a new agent-based framework designed to automate healthcare workflows with built-in safety rules and controls.
Healthcare artificial intelligence startup Corti has announced the launch of a new AI framework designed to safely automate complex healthcare tasks while preventing costly errors.
Corti said that while generative AI and automation offer big benefits, they can also create problems in real healthcare settings. Small mistakes can quickly spread across connected systems, often going unnoticed until patient care or finances are affected.
To address this, Corti has introduced the Corti Agentic Framework, a production-ready system that adds clear rules and guardrails to AI agents. These controls are designed to stop errors before they grow into larger failures.
The framework acts as a foundation for building AI agents used in healthcare and life sciences to drive human advancement. It offers a single interface that handles agent coordination, safety rules, and compliance, making it easier to move AI tools from testing to real-world use.
Corti’s system includes different types of AI tools. Some agents can reason and act. Others act as experts, handling specific tasks. The framework can combine multiple agents and experts to work together based on the job required.
Examples of AI agents include tools that help with medical coding, clinical education, patient care evaluation, and medication checks. Expert tools support tasks like searching for medical research, accessing drug information, performing medical calculations, and collecting data from trusted sources.
A key feature of the framework is control. Once an AI agent is assigned a role, it cannot act outside that role. This helps ensure safety, accuracy, and compliance in sensitive healthcare workflows.
One major use case is telehealth support. AI agents can help collect patient information, review medical history, prepare medication and allergy lists, and complete forms before a virtual visit begins. During appointments, agents can transcribe conversations, assist with referrals, track medications mentioned, and reduce billing and paperwork time.
By reducing paperwork, doctors can spend more time with patients instead of on administrative tasks. Corti said this can improve both patient experience and provider efficiency.
Currently, more than 100 healthcare organizations are testing Corti’s framework for nurse triage. While large AI companies are building general-purpose models, Corti believes healthcare needs specialized systems with built-in safety, structure, and control.
