← Insurance Verification, AnsweredHow accurate is AI eligibility verification?
Vendors claim 90% to 99%, but the figures measure different things: transaction success (a response came back), field accuracy (data points match the payer's records) and estimate accuracy (the pre-visit dollar figure matched the EOB). For collecting at the front desk, estimate accuracy is the one that matters; 90–95% is realistic for a well-configured data-first tool.
Two things to know. First, good tools attach a confidence score to each verification and route low-confidence cases to a human or a payer call rather than guessing, so the practical question is what happens to the 5–10% the AI is not sure about. Second, accuracy improves with configuration: a tool that has seen six months of your EOBs outperforms the same tool on day one. Pilots should run on real patients and be compared to real remittances.
Last reviewed October 8, 2026
