Notable, a healthcare AI platform focused on workforce productivity, has launched Flow AI — a conversational assistant embedded within its low-code Flow Builder interface. The new tool is designed to simplify how healthcare organizations create, test, and refine automation workflows, bridging the gap between technical complexity and operational efficiency.
Flow AI enables users to build and modify workflows using natural language, eliminating the need for traditional coding or manual configuration. Through conversational interaction, healthcare teams can issue commands, receive real-time explanations, and instantly apply changes to automation processes. The assistant also provides intelligent suggestions for common tasks, such as filtering lab results or merging data inputs, helping accelerate project delivery across clinical and administrative functions.
According to Pranay Kapadia, co-founder and CEO of Notable, “Healthcare teams are under immense pressure to do more with fewer resources. Flow AI reimagines the way teams automate workflows by removing friction from the building process, whether it’s a first-time builder or an experienced developer looking to move faster.”
Since the introduction of Flow Builder a year ago, health systems using the platform have achieved measurable improvements in productivity. Organizations have shortened time-to-value by designing and deploying automations internally, significantly reduced administrative workloads, and implemented custom AI agents to support tasks such as patient intake, follow-up, prior authorizations, and care gap closure.
Crystal Broj, Enterprise Chief Digital Transformation Officer at MUSC Health, highlighted how the platform enables collaboration between clinical and operational leaders. She noted that it helps departments co-develop scalable solutions that link care delivery, education, and research while improving efficiency.
By integrating conversational design into its automation suite, Notable positions Flow AI as a catalyst for accelerating digital transformation in healthcare operations. The company aims to make automation accessible across all levels of expertise, ensuring that health systems can independently build, iterate, and scale AI-driven solutions that support both administrative and clinical outcomes.
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