Salesforce life sciences strategy, activation & governance

  ClinicAL™ helps small and midsize life sciences organizations — sponsors, CROs, SMOs, and sites — across clinical development, patient services, and site operations — turn a Salesforce investment into an AI-ready clinical operations platform across their entire portfolio. Strategy first, built for where Salesforce is going, governed for the patient. 

Where should Agentforce and Life Sciences Cloud take your portfolio — and in what order? We map a roadmap to Salesforce’s headless, agentic direction, sequenced across your studies, sites, and functions and aligned to your budget and regulatory reality, so every phase earns its keep.

Consolidate off the systems you rent — legacy CTMS and EDCs, hosted data-capture tools, and aging Salesforce orgs — onto a modern foundation you own — ready for Agentforce, with the data integrity and audit trail regulated research demands.

We stand up Agentforce Life Sciences and design the agents that carry your studies — intake, coordination, data, safety, engagement — with Clinical Ops in the Loop™ governance built in from day one, not bolted on before an audit.

Agents are only as good as the data beneath them. We architect Data 360 as your system of context — unified across the portfolio, governed, real-time — so AI operates on clinical data you can trust and defend.

Patient-, site-, and sponsor-facing experiences on Community (Experience) Cloud and the Agentforce Experience Layer — one coherent journey across every role your portfolio depends on.

Design authority, human-in-the-loop checkpoints, auditability, and change control for agents operating in a regulated environment. The part most partners skip — and the first thing an inspector asks about.

Salesforce Headless 360: Agentforce Life Sciences, Data 360, Commmunity (Experience) Cloud, MuleSoft, Shield, Backup & Recover, AgentExchange, and MCP-based integration — extended to Snowflake, AWS, and the tools your portfolio already depends on. We complement the platform and design to its data model; we don’t over-customize it into tomorrow’s technical debt.