CCS launches comprehensive AI platform

By HME News Staff
Updated 9:10 AM CDT, Tue April 28, 2026
ST. PETERSBURG, Fla. – CCS has deployed a new agentic AI solution across its enterprise operations.
The solution, CeeCee, is a comprehensive platform trained on CCS’s own proprietary knowledge and data to deliver empathetic, personalized support that resonates with the chronic care population the company serves. It will serve complex patients at scale with measurable positive impact, including savings of more than 30% in annual operating costs.
“CeeCee and our broader agentic AI platform aren’t pilots or a proof of concept — they are enterprise-grade solutions operating across our entire organization right now, autonomously handling patient interactions, accelerating care delivery, and freeing our teams to focus on what they do best: providing compassionate, personalized support for complex chronic patient needs,” said Richard Mackey, chief technology officer at CCS.
The platform is projected to autonomously contain 25% of relevant incoming calls in the initial four months, while reducing call handling times across all interactions — resulting in improved patient experience while supporting the real-time needs of frontline teams.
CeeCee is expected to realize:
- 30%+ projected savings in annual operating costs.
- 25% of incoming patient calls autonomously contained within the first four months.
- Up to 20% reduction in customer service call handle times.
- 70–80% of 100,000+ monthly intake documents expected to be processed automatically by end of 2026 — getting patients on therapy weeks sooner.
AI track record
CCS’s agentic AI deployment builds on the company’s proven track record of AI-driven results. In 2024, CCS launched PropheSee, a predictive analytics and intervention platform that generated more than $10 million in Medicare savings by proactively addressing CGM nonadherence in thousands of Medicare patients with diabetes.
For more information on CeeCee, CCS’s enterprise AI platform, please visit www.ccsmed.ai.
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