Rollcall

Your insurer’s doctor list is wrong. By law, someone has to phone every office to fix it.

Rollcall makes those calls. It phones every listing, asks five questions, corrects the directory, and keeps the receptionist’s own words behind every change.

Open the console

The problem

US Senate Finance Committee staff called 120 mental-health listings across 12 Medicare Advantage plans. A third were wrong numbers, inaccurate or never answered, and they could book an appointment 18% of the time. Patients call the list, hear “he retired” or “we don’t take that plan,” and give up.

Source: Senate Finance Committee secret-shopper study, May 2023.

The 90-day rule

The No Surprises Act already requires plans to verify directory data every 90 days. The REAL Health Providers Act, signed in February 2026, makes Medicare Advantage plans re-verify every 90 days, remove departed providers within five business days and publish accuracy scores, from plan year 2028. And CMS requires every state to run annual secret-shopper surveys of Medicaid managed-care directories from July 2028. Today that work is a call centre asking the same five questions. One vendor in this market puts a manual verification call at “several dollars per interaction”; the recorded calls on the console cost about eight cents each.

How one call works

  1. 01

    Listing

    One row of the directory: provider, office, phone, two yes/no facts.

  2. 02

    Key terms

    The row’s own names and street become the recognizer’s key terms for that call.

  3. 03

    Call

    AssemblyAI’s Voice Agent API holds the conversation: speech in, speech out, turn-taking, barge-in.

  4. 04

    Tool calls

    Each clear answer is one JSON-schema tool call: confirm, correct, flag, or refuse to write.

  5. 05

    Cell + clip

    The value lands in the register with the audio span it came from.

  6. 06

    Person

    Hedged or conflicting answers go to a human. The agent never guesses.

What is measured, and what isn’t yet

Built for the AssemblyAI Voice Agent Hackathon on lablab.ai, September 2026. MIT licensed.