How to audit AI voice agent calls against your own SOP
A practical guide to AI voice agent QA: turn your SOP into approved rules, grade every call with evidence, calibrate with reviewers and compare releases.
· 10 min readBlog
Practical, sourced guides for compliance, QA and engineering teams running AI voice agents in US collections, insurance and healthcare.
A practical guide to AI voice agent QA: turn your SOP into approved rules, grade every call with evidence, calibrate with reviewers and compare releases.
· 10 min readWhat an AI collection agent must do and avoid under the FDCPA and Regulation F, call by call, with section citations and which rules need the dial log.
· 10 min readWhat consent AI voice calls need under the TCPA after FCC 24-17, where the revocation and one-to-one rules stand in 2026, and how to prove consent per call.
· 10 min readVoice agent regression testing beyond simulated suites: tag every call with its release, then compare each rule's miss rate between versions on live calls.
· 10 min readAn LLM as a judge for call QA works well for triage and trends. Here's where it falls short when a compliance examiner or a client auditor starts asking.
· 9 min readWhat HIPAA requires of an AI voice agent on patient calls, and what is only good practice: verification, family, voicemail, BAAs, TCPA and state debt laws.
· 10 min readWhat an AI voice agent must get right on insurance claims calls: caller checks, no promised outcomes, FNOL deadlines, appeal rights, recording and NAIC rules.
· 10 min readMeasure AI voice agent ROI in collections from payment records: attribution windows, like-for-like matching, confidence ranges and a fair human comparison.
· 8 min read