Most healthcare AI deployments stall in the first 90 days. Here's the framework that doesn't.

Overview

A free operator playbook for healthcare CIOs, CTOs, and operations leaders deploying AI customer support agents at scale. Four phases, ten governance KPIs, and the human-in-the-loop architecture that keeps AI accurate, compliant, and live.

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SUMMARY

AI Alone Doesn't Run Healthcare Support. Neither Do People.

In the Connext Global 2026 AI Oversight Survey, only 17% of users said their AI systems can run without human review. The other 83% are doing the hard work, editing, validating, and re-routing to make AI outputs accurate and ready for real-world use. In healthcare, that hard work is the difference between scalable support and a compliance incident.

The challenge isn't whether to deploy AI. It's how to deploy it so that the system improves over time instead of plateauing, and so the human layer catches the things AI cannot: emotionally sensitive interactions, ambiguous clinical scenarios, regulatory edge cases, and the moments where patient trust is built or broken.

This playbook lays out the operational framework Connext uses to deploy AI customer support agents alongside dedicated offshore teams in healthcare environments. It's the same structure refined across live healthcare deployments, written for the leaders responsible for making it work in production.

WHAT YOU'LL LEARN

• The Six High-Value Use Cases for AI in Healthcare Support. Where AI delivers measurable ROI today, open enrollment surges, 24/7 coverage, insurance and billing workflows, multilingual engagement, and where it shouldn't go near a patient interaction.
• The Ten AI-Only Risks Mapped to Mitigation Controls. Misrouted escalations. Diagnostic overreach. Missed mental health red flags. HIPAA exposure. A risk-by-risk view of what fails in a pure-AI deployment, and the human-in-the-loop control that prevents each one.
• The Four-Phase Deployment Framework. Foundation (Weeks 1–4), Integration (Weeks 3–8), Optimization (Ongoing from Week 6), and Governance (Ongoing from Week 8). What gets built when, who owns it, and what "ready to go live" actually looks like.
• The Co-Managed Operating Model. Why hybrid AI + offshore deployments fail without shared accountability, and the operational structure that keeps clients in control of strategy while Connext owns day-to-day execution.

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