AI for TPA Provider Calls: Automate Claims, Eligibility & Benefits Inquiries Without Adding Staff

Provider calls are the highest-volume, lowest-complexity bottleneck in TPA operations

Third-party administrators field thousands of provider calls every month for the same set of transactional inquiries: claims status, eligibility verification, and benefits lookups. These calls are necessary, but they follow predictable patterns, the provider identifies themselves, provides a member ID or claim number, and needs a data lookup performed against the administration system. The vast majority require no clinical judgment, no adjudication decision, and no complex problem-solving.

Yet these calls consume the same staff time and call center capacity as the member service calls, prior authorization workflows, and escalated claims disputes that genuinely require experienced human agents. Every provider call that a human answers for a routine eligibility check is a provider call that prevents that same agent from handling something that actually requires their expertise.

The operational burden is not just cost, it’s a physical scaling constraint. TPAs that want to enroll additional groups, expand covered lives, or take on new clients face a ceiling: their call center cannot handle the additional provider call volume without adding headcount, floor space, IT infrastructure, and management. Even if the revenue from a new group justifies the cost, the time and complexity of expanding call center operations creates a lag that limits growth.

What EHVA handles: claims, eligibility, and benefits inquiries

EHVA is configured to handle the specific provider call types that make up the bulk of TPA inbound volume. Each call type is backed by real-time queries against the administration system, EHVA doesn’t read from a static knowledge base, it pulls live data during the call using in-call tool calling.

How a provider call works with EHVA

When a provider calls the TPA’s phone line, EHVA answers immediately, no hold queue, no IVR menu, no “your call is important to us.” The provider speaks naturally, and EHVA identifies the call type, collects the required identifiers, queries the administration system, and delivers the information, all within the same call. Below is the canonical eligibility verification flow; the same pattern applies to claims and benefits inquiries with the system query adapted to the data type.

The key differentiator is that EHVA resolves the call, it doesn’t collect information and create a ticket for a human to process later. The provider gets their answer on the same call, the same way they would from a trained human agent.

Acuity Group: 81% of provider calls resolved without human intervention

EHVA was deployed in production at Acuity Group, a third-party administrator, to handle inbound provider calls for claims, eligibility, and benefits inquiries. The system was designed to manage these call types end to end while intentionally excluding member services and prior authorisations from scope. The deployment supported 16,471 covered lives for a single group, one of multiple groups the TPA administers. EHVA achieved 81% autonomy on in-scope calls with only a 19% escalation rate. When accounting for all inbound calls including out-of-scope call types, EHVA autonomously resolved approximately 71% of total gross call volume, with a clear path to exceeding 80% if member calls are brought into scope.

“Working with EHVA has been transformative, innovative solutions and visionary thinking have carried us to new levels of success.”

Tyler Reeves, Chief Operating Officer, Acuity Group

Read the full Acuity Group case study

What EHVA handles vs. what stays with your human team

One of the most critical design decisions in a TPA deployment is scope control, determining exactly which call types the AI handles and which remain with human agents. EHVA does not attempt to handle everything. The system is deliberately scoped to the call types where autonomous resolution is safe, reliable, and appropriate, with everything else routed cleanly to the right human.

These scope boundaries are not arbitrary, they are designed based on risk exposure, regulatory requirements, and what call types genuinely benefit from human judgment versus data retrieval. The scope can be expanded over time as confidence in the system grows. At Acuity Group, bringing member calls into scope would push total gross autonomy above 80%.

When EHVA receives a call that falls outside its configured scope, it does not attempt to handle it. The call is escalated immediately to a human agent with full context, caller information, what was requested, and any data already collected during the call. No provider is left stranded, and no out-of-scope call is handled by the AI.

The scaling constraint EHVA removes for TPAs

The most significant impact of EHVA at Acuity Group was not a cost line item, it was the removal of a growth constraint. The TPA wanted to enroll additional groups and expand covered lives but faced a ceiling: the existing call center could not absorb the additional provider call volume without expanding headcount, physical space, IT infrastructure, and management overhead.

For TPAs evaluating growth, this is the fundamental calculus that changes. EHVA converts provider call handling from a fixed, step-function cost (hire agents, expand floor space, add infrastructure) to a variable, linear cost (per-minute of AI conversation). The TPA can take on new groups and expand covered lives without the operational lag and capital investment that previously gated growth.