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Standard Practice

Voice AI that calls payers so staff do not

Our take

Standard Practice is voice AI for the payer side of the phone. Its agent places outbound calls to insurance companies and pharmacies, dialing, navigating IVR menus, waiting on hold, presenting case information, and answering payer representatives in real time. Use cases include benefits verification, prior authorization follow-up, claim status and follow-up, credentialing, and EDI enrollment. Buyers are medical practices, revenue cycle teams, and billing companies whose staff otherwise spend hours per day on hold.

Founders Steven Greene and Phil Markunas started the company in 2021 as Nibble Health, a healthcare payments startup that raised $8.5M from Wing, Tiger Global, A* Capital, and Expa, then relaunched as Standard Practice in April 2024 after seeing how much practice time went to payer phone calls. The company has drawn coverage from Forbes, Bloomberg, and Politico but publishes no named customers or outcome metrics, so buyers should ask for references and run a scoped pilot on their heaviest call type. Against broader rivals like Prosper AI, its pitch is specialization in payer-facing calls.

What it does

  • Dials payers, navigates IVR menus, waits on hold
  • Benefits and eligibility verification calls
  • Prior authorization follow-up
  • Claim status and follow-up calls
  • Credentialing and EDI enrollment calls
  • Responds to payer reps in real time

Where it's strong

  • Narrow focus on outbound payer calls means depth in IVR navigation, hold handling, and live rep conversations.
  • No inbound call center replacement to configure; it slots beside existing RCM workflows.
  • Team has been in healthcare operations since 2021 and pivoted based on direct practice pain.

What buyers should weigh

  • No customers or case study results are publicly named.
  • Disclosed funding ($8.5M, raised for the prior Nibble Health product) is small next to voice AI rivals.
  • Outbound payer calls only; patient-facing calls need another tool.

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