Compliance in voice AI refers to adherence to legal requirements, industry regulations, and internal policies governing how calls are conducted, recorded, and processed. It encompasses data protection, disclosure requirements, consent management, and documentation obligations.
What compliance requirements affect voice AI?
Key regulations include TCPA for outbound calling and consent, HIPAA for healthcare information, PCI-DSS for payment data, GDPR for European data subjects, and state-specific recording consent laws. Industry-specific rules may add requirements for financial services, insurance, healthcare, and other regulated sectors.
Why does compliance matter?
Non-compliance carries significant penalties including fines, lawsuits, and reputational damage. Beyond avoiding penalties, proper compliance protects customer privacy and builds trust. Voice AI systems must be designed with compliance built in rather than added as an afterthought.
Compliance in practice
A healthcare organization configures their AI voice agent to obtain explicit consent before recording, redact protected health information from transcripts, retain records for required periods, and provide audit trails for all data access. Regular compliance reviews verify these controls remain effective.
For regulatory context, see our guide on FCC regulations for AI-generated calls. For technical implementation, see the security and compliance documentation.