The MedTech industry is shifting from insights-driven AI to autonomous, action-oriented systems. While GenAI has accelerated adoption, it remains constrained in regulated environments due to limitations in reliability, explainability and compliance.
Agentic AI is emerging as the next step—purpose-built, goal-oriented systems designed to operate within clinical and regulatory boundaries while delivering real-time outcomes.
This Everest Group whitepaper, supported by HCLTech, explores the transition and presents a practical, implementation-focused perspective on scaling Agentic AI in MedTech.
What’s inside the whitepaper
Why Agentic AI is a necessary evolution beyond GenAI
- Meeting the needs of regulated clinical environments
The shift to Agentic AI
- Emerging adoption landscape, use cases and enterprise readiness
A practical guide with strategies
- Addressing core business, technical and ecosystem challenges with agent adoption
Why this matters
The MedTech AI landscape remains fragmented, with no dominant player, creating a limited window for organizations to establish early leadership.
Those that adopt a structured, domain-specific approach to AI will be better positioned to move from pilot programs to enterprise-scale deployment.
Download the whitepaper to access detailed insights, use cases and a practical roadmap for scaling Agentic AI in MedTech.
