CVS is Using Fluency to Close Enterprise AI Deployment Gap

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CVS Health has partnered with Fluency, an Accel-backed AI platform, to scale autonomous agents from pilot to production. Fluency addresses enterprise AI's "deployment gap" by leveraging real operational data to identify automation opportunities, measure ROI, and embed AI effectively into existing workflows Photo Courtesy: Fluency SAN FRANCISCO, June 11, 2026 (GLOBE NEWSWIRE) -- CVS Health is using Fluency, the Accel-backed enterprise AI deployment platform, to support deployment of autonomous AI agents across parts of its operations. The company is working to move AI initiatives from pilot programs into production environments using Fluency to identify where AI can deliver the greatest operational impact. The announcement comes as many enterprises continue to struggle to generate returns from multi-million dollar AI investments. Fluency was built to address what its founders describe as the “deployment gap,” the point where promising AI pilots become difficult to scale across real operational environments. The Deployment Gap Plaguing Enterprise AI Despite record spending across healthcare, financial services, retail, and other sectors, the majority of enterprise AI programs are failing to deliver expected ROI. According to Fluency’s founders, the issue is rarely the AI models themselves. It is the lack of visibility needed to identify the right deployment opportunities, build mission-critical agents, and prove the business impact after deploying AI. “Most enterprises today don’t have an AI access problem, they have a prioritization problem,” said Finnlay Morcombe, CEO and Co-founder of Fluency. “Teams are struggling to identify where AI can create the most operational impact across systems, departments, and workflows. Without that strategic clarity, implementation efforts often become fragmented and difficult to scale.” “Many organizations still struggle to operationalize AI beyond isolated pilots,” added Oliver Farnill, co-founder of Fluency. “The challenge is not just deploying AI tools, but understanding how they fit into existing workflows and how success should be measured once they are live.” Where AI strategy meets execution Fluency builds AI automations using the same operational data that identifies automation opportunities in the first place. This approach ensures that deployed AI agents are grounded in the realities of t...

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