Salesforce outlined a three-part approach—trusted foundation, action from signals, and scaled human-agent orchestration—to move life sciences from fragmented systems to coordinated, regulated workflows.
Build a single, compliant operating foundation so existing data and workflows can be connected rather than layered with new point apps.
Turn dispersed clinical and operational signals into coordinated action with tools like Command Center that combine context, root-cause analysis, and next-step orchestration.
Scale human-and-agent collaboration across surfaces so routine work is automated while clinicians and teams retain judgment and governance.
At Dreamforce 2026, Salesforce framed life sciences transformation around an "agentic enterprise" model: a coordinated system that combines trusted data, industry-aware workflows, and governed AI agents. The goal is to reduce administrative friction and shorten the time between innovation and patient impact.
1) Build one trusted, compliant foundation
Rather than adding more point solutions, Salesforce says life sciences organizations should connect and govern the systems they already have. The Life Sciences Cloud and related infrastructure aim to deliver industry-ready data models, security, workflows, and compliance guardrails so teams can bring AI into specific workflows safely. Salesforce cited 27 years of platform development and more than 150 Life Sciences Cloud customers using the stack.
2) Turn administrative noise into action
When patient signals and clinical insights live in separate systems, the moment to act is often lost. Salesforce introduced Command Center for Life Sciences as a centralized nerve center that brings clinical, medical, and commercial data into one context. Command Center is designed to surface root causes and coordinate next steps across teams and agents, enabling faster interventions and freeing clinicians to focus on patient care.
3) Orchestrate human-and-agent collaboration at scale
Salesforce highlighted customer outcomes to show practical impact: more than 150 Life Sciences Cloud customers and partner organizations reportedly reached over 1 billion patients in the past year. The message for leaders is operational: reduce point-app proliferation, connect data and workflows under governed AI, and define where agents should act versus where human judgment is required.
What this means for life sciences leaders
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