EIP launches voice-led AI claims tool with auditable rules engine

EIP is betting that claims automation works best when the AI stays on a short leash. Its new Virtual TPAi tool puts a voice-led agent on the front end of claims intake, then hands the case to a rules engine that either approves the claim or sends it to human review based on insurer-configured criteria.

That architecture is the point. Instead of letting a broad general-purpose model improvise on a high-stakes decision, EIP has wrapped conversational AI around a deterministic back end it says has been used for automated claims decisioning for more than 10 years. The company says the engine was modernized for Virtual TPAi and now runs on 80 insurer-configurable switches or rules, giving carriers a framework they can audit rather than a probabilistic output they have to explain after the fact.

EIP says the voice agent can answer policy questions and submit claims for customers, with English and Spanish available out of the box. It also says the system can handle up to 20 simultaneous conversations around the clock, which it equates to the output of roughly 90 human agents. That is a capacity claim as much as a customer-service one, and it underlines why carriers looking at first notice of loss are likely to see Virtual TPAi as a labor and throughput tool, not just a slick interface.

The company is also leaning hard on governance. EIP says human claims handlers can review, override or approve decisions when required, a safeguard that matters in a market where explainability, bias and regulatory scrutiny have made insurers wary of letting AI drive outcomes on its own. The product’s pitch is that the AI handles the conversation while the rules engine handles the decision, keeping the process fast without turning it opaque.

That framing fits a broader industry argument now playing out across P&C software. Vendors including insured.io and Duck Creek have been pushing similarly controlled automation, and the common thread is clear: insurers want speed, consistency and scale, but they still want the rules, the audit trail and the final say. EIP is making the case that Virtual TPAi can deliver all three by separating intake from decisioning, instead of asking one model to do everything.