Most benefits stacks rely on directory search and word-of-mouth for medical care—leaving members to navigate complex networks alone and employers exposed to variable costs and outcomes. In this roundtable, we'll unpack why machine-learning–driven provider matching is becoming table stakes. We’ll explore how to steer members to high-quality, cost-effective providers, and why precision is now essential for controlling maternity and NICU spend, reducing complications, and improving equity in access and outcomes. Leaders will compare how they currently guide employees to care and leave with a clearer view of what “good enough” looks like in 2026—and why anything less is increasingly risky.

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