How to build a Call Compliance Agent
This agent automates the extraction, structuring, and logging of key compliance and summary data from healthcare call audio, ensuring accuracy and efficiency.
Challenge
Manually extracting, structuring, and logging compliance-relevant information from healthcare call transcripts is time-consuming, error-prone, and inconsistent.
Industry
Healthcare
Department
Compliance
Customer Success
Integrations
OpenAI
Excel/Sheets
This agent streamlines the process of handling healthcare support call logs by automating the entire workflow from audio input to structured data output. The user uploads or records a call audio, which is transcribed to text. An advanced AI model then analyzes the transcript to extract essential fields such as date, agent and customer names, summary, main topics, urgency, compliance issues, and disclosures, outputting this information as a structured JSON object. The extracted data is automatically written to a specified Excel sheet for record-keeping and compliance tracking. Simultaneously, a second AI model generates a clear, human-readable summary of the call, highlighting any compliance issues, which is then displayed to the user for review or confirmation. This end-to-end automation reduces manual effort, increases accuracy, and ensures that compliance-relevant information is consistently captured and logged.




