Baltimore-based B.Well Connected Health has developed a white-label health AI assistant that organisations can embed bailey directly into their own apps.

Called Bailey, it lets organisations deliver secure, action-oriented health AI experiences without building their own assistant from scratch. With Bailey, consumers can move from questions to follow-through – such as finding care, managing medications, scheduling appointments or navigating benefits – in a single conversation.

The launch comes as healthcare organisations race to deploy AI assistants to improve consumer engagement, reduce administrative burden and remain competitive while facing the technical, security and regulatory problems required to build healthcare-grade AI.

Bailey is built on the firm’s health AI SDK, the same core infrastructure used by organisations such as OpenAI and Samsung to power health AI experiences. The SDK connects, normalises and structures fragmented health data through a proprietary 13-step data refinery, creating a clean, complete, longitudinal health record ready for AI. Organisations can deploy Bailey as a white-label assistant or use the SDK to build their own AI-powered experiences.

Unlike general-purpose AI assistants, Bailey is grounded in complete, longitudinal health records and purpose-built for healthcare workflows, allowing organisations to deploy AI assistants that can safely interpret medical data, coordinate care actions and integrate directly into their existing ecosystem.

“Healthcare is fragmented, and people are left to connect the dots for themselves and their loved ones,” said Kristen Valdes, CEO of B.Well Connected Health. “Bailey changes that by understanding each person’s complete health history and clinical context, and helping them take the right next step. It can go beyond simply answering questions and actually recommend convenient care options, coordinate follow-through and support people between doctor visits so they can both better understand their health and also take action when it matters most.”

Imran Qureshi, CTO of B.Well Connected Health (www.bwell.com), added: “Building a healthcare-grade AI assistant from scratch typically takes 18 to 24 months and millions of dollars. With Bailey, organisations can deploy a white-labelled assistant in weeks. We’ve solved the hard problems – data integration, security, compliance and AI orchestration. Bailey coordinates specialised AI agents to complete tasks such as interpreting clinical data and scheduling appointments. Organisations can use our pre-built agents, develop their own or integrate third-party agents, giving them flexibility as their needs evolve.”

Bailey leverages a comprehensive longitudinal health dataset, unifying clinical, claims, pharmacy and wearables data from 350 sources into a single AI-ready health record. Built on B.Well’s FHIR-based platform, it delivers secure, context-aware insights grounded in each individual’s complete health record while maintaining strict privacy, security and regulatory compliance.

It unifies clinical, claims, pharmacy and wearables data from millions of sources into a single AI-ready dataset. It was built and refined using millions of patient records to handle the complexity of real-world healthcare data.

Organisations can use B.Well’s pre-built agents, build their own or integrate third-party agents for flexibility. This goes beyond Q&A to complete tasks – schedule appointments, refill prescriptions, find in-network providers and more. It can be embedded in existing web, iPhone and Android apps via the SDK in weeks, not months.

HIPAA-compliant, SOC 2 and HiTrust certified, with enterprise-level encryption and audit trails, it is built on the Carin Alliance code of conduct and recognised with the DiMe Seal from the Digital Medicine Society, ensuring responsible data use, transparent consent and consumer-directed control.