AI Agents in Healthcare: 3 Snowflake Summit Takeaways

AI Agents in Healthcare: 3 Snowflake Summit Takeaways

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Blog / Healthcare & Life Sciences / 3 Takeaways from Snowflake Summit for Healthcare and Life Sciences Organizations

JUN 11, 2026 / 3 min read Healthcare & Life Sciences 3 Takeaways from Snowflake Summit for Healthcare and Life Sciences Organizations

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EXECUTIVE SUMMARY

CoWork’s (formerly Snowflake Intelligence) new capabilities deliver personalized, proactive intelligence and agentic workflows across the organization’s full scope of data types and processes.

New Agentic AI Blueprint for Biopharma: Sanofi moves to a unified, AI-ready foundation that powers faster decisions across research and development, manufacturing and commercial, including an agent that gives sales reps in-depth AI-generated pre-call insights and plans in seconds.

Enterprise agentic workflows have five key components , including governed enterprise data and context, AI models, applications and an agentic control plane.

The AI conversation has shifted from pilots to what is ready to scale for leaders in the healthcare and life sciences industry.

Leading organizations have long had the needed components for transformation: vast volumes of data, deep scientific and clinical expertise, and a clear mandate to improve outcomes, efficiency and innovation. But this year’s Snowflake Summit made one thing clear: The next era of AI will be defined not by isolated use cases, but by thoughtful, governed execution across the enterprise.

Across Snowflake Summit, Snowflake emphasized the evolution of the AI Data Cloud and its AI capabilities as a foundation for enterprise AI, applications, agents and governed collaboration.

For healthcare providers, payers, pharmaceutical companies, medtech organizations and research institutions, the message was direct: AI is moving from pilots to organizationwide workflows that can securely reason across enterprise data, support better decisions and scale across highly regulated processes.

Here are three key takeaways for healthcare and life sciences executives and line-of-business leaders.

1. The industry’s future is agentic

Agentic AI is quickly becoming more than a future-state vision for healthcare and life sciences. It is emerging as a practical path to solving some of the industry’s most persistent challenges, such as administrative complexity, fragmented workflows, rising costs and the need to deliver more personalized, timely and efficient care.

“Nobody gets into medicine because they love paperwork. Agentic AI is one of the first technology waves that allows clinicians to get closer to operating at the top of their license,” says Jesse Cugliotta, Global Head, Healthcare & Life Sciences at Snowflake.

Snowflake’s own "The Future of AI + Interoperability in Healthcare Report" spotlighted this trend earlier this year, finding that 64.5% of healthcare organizations and public health agencies surveyed have either adopted agentic AI, are experimenting with it, or plan to implement it in the next six to 12 months. Their top use cases range from improving the member and provider experience and reducing costs to optimizing operations and advancing population health.

That shift was already visible at Snowflake Summit, where customers showed how agentic workflows can move from concept to operational impact.

“Nobody gets into medicine because they love paperwork. Agentic AI is one of the first technology waves that allows clinicians to get closer to operating at the top of their license,” says Jesse Cugliotta, Global Head, Healthcare & Life Sciences at Snowflake.

Inderpreet Kambo, Co-Founder and CEO at Improzo, also said at the event, “As agentic AI moves from concept to deployment, life sciences companies are discovering that the real unlock isn't a new solution — it's activating the data and systems they already own in the Snowflake AI Data Cloud. At Snowflake Summit, leaders across pharma and biotech are here to explore how unified data infrastructure, Cortex AI and agentic frameworks are converging to close the gap between insight and execution.”

Sanofi’s transformation to an agentic enterprise

One customer demonstrating what this agentic transformation looks like in practice is Sanofi, one of the world’s leading biopharmaceutical companies. Like many global organizations, Sanofi’s early data investments produced thousands of dashboards, but left much of the underlying data underused. The shift came when Sanofi unified its data on Snowflake and began working with Elementum, an AI-native alternative to legacy SaaS, to build deterministic and agentic workflows directly on its enterprise data.

For Sanofi, the goal is not simply to add AI to existing systems, but to reinvent how the company runs across research and development, manufacturing, commercial operations, procurement, IT support, HR and sales. AI workflows built with Elementum run directly on Snowflake, helping reduce the friction, cost and lock-in associated with traditional enterprise software. The same unified data foundation already supports Sanofi’s research teams, who use Snowflake to process real-world clinical data at scale and accelerate the analysis that informs drug development decisions. Sanofi has also launched “Concierge for Field,” an AI agent built with Snowflake Cortex AI that prepares global sales representatives for every physician or provider visit.

Learn more: Watch how Sanofi is reinventing the future of biopharma with Snowflake in this customer video .

2. Four new CoWork capabilities move the industry from passive AI to proactive intelligence

Organizations across the industry run on some of the most complex, regulated data in the world. Snowflake CoWork (formerly Snowflake Intelligence), Snowflake's AI work companion unveiled at Summit, is built to handle that complexity — turning fragmented enterprise data into governed, actionable intelligence for every knowledge worker.

CoWork is a personal work agent for every clinical and business user. It can reason deeply, automate routine tasks and accelerate the path from ideas to decisions to action. By combining deep understanding, automation and enterprise context, CoWork helps organizations turn AI into measurable business outcomes.

CoWork’s key capabilities, the majority of which are in public preview, public preview soon or generally available soon, include:

Understands your organization deeply and provides accurate answers from your most complex...