Scaling Agents in Healthcare & Life Sciences
See how Madrigal Pharmaceuticals, Abridge, and Vizient are moving AI agents into production while meeting the higher bar for reliability, safety, and trust required in healthcare and life sciences.
Healthcare and life sciences teams are already using agents to accelerate scientific research, reduce clinical documentation burden, and make siloed healthcare data easier to access. But scaling these systems requires more than a capable agent. Teams need infrastructure for observability, evaluation, governance, and deployment that can support environments where errors carry real clinical and regulatory consequences. This guide explores how leading organizations are building and scaling production agent systems, along with the patterns emerging across healthcare providers, payers, and biopharma.
What You'll Learn
- How Madrigal built a shared multi-agent platform that can expand across new use cases and data sources
- How Abridge turned clinician feedback into a measurable evaluation system that improved quality and accelerated releases
- How Vizient uses hierarchical agent orchestration to reliably query and analyze complex healthcare data
- Why tracing, evaluation, governance, and data privacy become foundational as agents gain more autonomy
- How healthcare and life sciences teams are creating a path from experimentation to trusted production systems
Download Scaling Agents in Healthcare & Life Sciences to learn how leading teams are creating a path from experimentation to trusted production systems.
Inside the Guide
LangSmith powers top enterprise engineering teams
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See how LangSmith helps you debug, evaluate, and improve your agents in production. Talk to our team or start exploring today.
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