Credentialing: Your Clearest AI Win 2026

Description

Your organization has made the AI commitment. The budget is allocated, leadership is aligned, and the pressure now is to show results. The question every health plan technology leader is navigating right now is not whether to deploy AI. It is where to deploy it first in a way that delivers defensible ROI, passes governance scrutiny, and does not consume the internal capability you are working to build.

Not every use case is equal. Some carry patient safety risk that turns pilots into liability exercises. Some require data infrastructure that does not exist yet. Some will take two years to show ROI that most boards will not wait for. And some will pull your best AI talent toward infrastructure that is not differentiated. This webinar is built for technology and AI leaders at health plans who need to make that deployment decision and make the case for it internally.

What you'll learn:

• A practical framework for evaluating AI deployment candidates across clinical and administrative use cases, and why the risk profiles differ significantly depending on where a use case sits.
• Why credentialing clears every bar a governance committee will set, from data readiness and NCQA compliance to ROI measurability and agentic AI fit.
• Why credentialing is the right domain for AI deployment but the wrong candidate for an internal build, including what a production-ready system actually requires and where most internal cost estimates fall short.
• How to build the business case your CFO, CIO, and COO will each find compelling, including the ROI decision matrix for evaluating your current operational model and the six KPIs every health plan should be measuring before any pilot begins.
• What separates a pilot from a production deployment, and what to ask any vendor before you sign off.