What Actually Separates One Voice AI From Another: A Buyer's Framework for Healthcare Voice AI 

Every voice AI vendor runs the same ROI calculation. It is not wrong. It is also not how you tell them apart.

Health systems evaluating voice AI today are comparing vendors who all look similar in a demo because demos show the same calls. The easy ones. The referrals that determine whether patients arrive, the prior authorizations that unlock revenue, the calls that need to act across three systems at once: these are the calls that stayed hard, and the ones your operations actually depend on. This guide gives you four questions to find the vendor that has genuinely solved them and a one-page scoring table built for your procurement conversation.

This ebook walks through:

- Why the category automated the easy calls first — and what the gap looks like today (90%+ automatable for simple transactions; under 20% for new-patient scheduling and referral management

- Four questions that cut through the standard pitch: context before the call, completion across systems, platform fit, and proof

- The denominator problem: how three definitional choices move a headline resolution rate by double digits without changing how the system actually performs

- The difference between a narrative transcript write-back and structured field write-back and why most EHR integration claims in the market describe the first

- The extensibility question most teams forget to ask  and why the answer determines your total cost of ownership across future workflows

- How Gravity, Innovaccer's Healthcare Autonomy Platform, answers all four questions including prior authorisations reduced from 43 minutes to under 3 at Risant Health

Download the guide and bring the evaluation checklist on page 8 into your next vendor conversation.