Latency drift sent payer calls back to humans. Deepgram Nova-3 keeps voice agents on the line—claim numbers and policy codes captured clean.
An AI platform handling the entire patient journey for healthcare operations, with voice agents managing both sides of phone calls across benefits verification, billing, and collections for more than 60 outpatient groups and platforms.
Payer calls require capturing names and alphanumeric identifiers like claim numbers, policy codes, and numerical amounts with perfect accuracy, as a...
“The highest-stakes moments involve capturing names and alphanumeric identifiers like claim numbers, policy codes, and numerical amounts. A single misrecognition breaks every downstream workflow that depends on them (payer rejections, failed eligibility checks, incorrect billing, and manual rework).”
AI-powered voice agent platform for healthcare patient and payor calls.
Voice AI platform for speech-to-text, text-to-speech, and conversational agents.
Prosper AI's Call transcription is part of this use case:
Related implementations across industries and use cases
Inconsistent manual call notes caused billing errors. Now, zero-retention AI turns VoIP calls into synced case and billing entries.
AI agents dialing insurers still took days. A graph database now reuses past answers to verify benefits in seconds without a call.
Manual QA left 90% of calls unchecked. AI now audits every interaction, accurately capturing mixed Hindi-English conversations.
AI agents dialing insurers still took days. A graph database now reuses past answers to verify benefits in seconds without a call.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Latency drift sent payer calls back to humans. Deepgram Nova-3 keeps voice agents on the line—claim numbers and policy codes captured clean.
An AI platform handling the entire patient journey for healthcare operations, with voice agents managing both sides of phone calls across benefits verification, billing, and collections for more than 60 outpatient groups and platforms.
Payer calls require capturing names and alphanumeric identifiers like claim numbers, policy codes, and numerical amounts with perfect accuracy, as a...
“The highest-stakes moments involve capturing names and alphanumeric identifiers like claim numbers, policy codes, and numerical amounts. A single misrecognition breaks every downstream workflow that depends on them (payer rejections, failed eligibility checks, incorrect billing, and manual rework).”
AI-powered voice agent platform for healthcare patient and payor calls.
Voice AI platform for speech-to-text, text-to-speech, and conversational agents.
Prosper AI's Call transcription is part of this use case:
Related implementations across industries and use cases
Inconsistent manual call notes caused billing errors. Now, zero-retention AI turns VoIP calls into synced case and billing entries.
AI agents dialing insurers still took days. A graph database now reuses past answers to verify benefits in seconds without a call.
Manual QA left 90% of calls unchecked. AI now audits every interaction, accurately capturing mixed Hindi-English conversations.
AI agents dialing insurers still took days. A graph database now reuses past answers to verify benefits in seconds without a call.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Charting ate into patient time and kept nurses late. Ambient listening now captures notes in real time as they move room to room.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.