Insights on conversation intelligence

How to Extract Order and Lead Data From Calls Into Your CRM

Stop retyping what was said on calls. Here is how automated data extraction turns conversations into typed, validated fields synced straight to HubSpot or Salesforce.

GDPR and Call Recording: Rules, Retention, and DSAR Checklist

A practical overview of GDPR considerations for call recording: lawful basis, disclosure, retention, and handling data subject access requests. Not legal advice.

How AI Call Scoring Works: From Rubric to a Score You Can Trust

AI call scoring evaluates each call against your rubric and explains the result. Here is how it works step by step, and why visible reasoning matters.

Best Gong Alternatives for Compliance and QA Teams in 2026

Gong is built for sales. If you need QA, compliance, or voice biometrics, or want published pricing, here are the best Gong alternatives in 2026 and who each fits.

Best AI Call Transcription Software in 2026: An Honest Comparison

Transcription is table stakes in 2026. This guide compares the leading AI call transcription tools and explains why what happens after the transcript is what matters.

Best Voice Biometrics Solutions for Call Centers in 2026

A balanced guide to voice biometrics solutions in 2026: enterprise fraud platforms, retired cloud APIs, and API-first alternatives, with guidance on how to choose.

Best Automated Call QA Software for 2026: An Honest Comparison

A balanced look at the best automated call QA tools in 2026, what each is good at, who they fit, and how to choose, from contact-center suites to all-in-one platforms.

Emotion Per Turn: Why Voice Emotion Beats Text Sentiment on Calls

Text sentiment reads the words; voice emotion reads how they were said. Here is why per-segment acoustic emotion catches signals a transcript score misses.

What Is Automated Call QA? A 2026 Buyer's Primer

Automated call QA uses AI to score every call against your rubric instead of a manual sample. Here is how it works, what to look for, and where it fits.

Amazon Connect Voice ID Ended in 2026: Your Migration Options

Amazon Connect Voice ID reached end of support on May 20, 2026. Here are your options for replacing speaker verification and identification, and what to weigh.

Mini-Miranda and the FDCPA: Detecting Missing Disclosures on Every Call

Collectors must give the mini-Miranda on calls. Manual QA misses most of them. Here is how automated disclosure detection proves it was given, call after call.

Do You Need Consent to Record Calls? One-Party vs. Two-Party States

Call recording consent depends on where the parties are. Here is the difference between one-party and all-party consent and how teams prove disclosure on every call.

How to Detect a Deepfake or AI-Cloned Voice on a Call (2026)

Voice cloning has made phone impersonation cheap and convincing. Here is how synthetic-voice detection works and how to build a layered defense against vishing.

Speaker Verification vs. Identification: What Is the Difference?

Speaker verification is a one-to-one identity check; identification is a one-to-many search. Here is when to use each in call authentication and fraud detection.

What Is Voice Biometrics? Enrollment, Verification and Identification Explained

A plain-English guide to voice biometrics: what a voiceprint is, how enrollment works, and the difference between verification and identification on calls.

LLM QA Scoring Schema for Call Transcripts

Machine-oriented schema, rubrics, and decision rules for scoring call transcripts across compliance, empathy, and intent.

Voice Biometric Authentication Implementation Guide: Enterprise Security Best Practices

Complete technical guide for implementing voice biometric authentication in enterprise environments. Learn risk-based deployment, FIPS 140-2 encryption, threshold configuration, and phased rollout strategies.

Handling Accents & Bias in Voice Biometrics

How Self-Supervised Learning (SSL) and phoneme-physics models are eliminating accent bias in modern voice authentication.

Real-time Speaker Diarization at Scale

Engineering challenges in separating Agent vs. Customer audio streams in millisecond real-time using embedding clustering.

The End of Security Questions: Why KBA is Dead

Why LLMs have made 'Mother's Maiden Name' obsolete and how voice authentication provides the only un-phishable credential.

PGVector for Voice: High-Dimensional Embeddings Deep Dive

A technical deep dive into using PostgreSQL and pgvector for low-latency biometric voice identification.

Acoustic Fingerprinting in Fintech: Detecting Synthetic Voices

How fintechs are using acoustic artifact analysis to detect deepfakes and synthetic voices in high-value transfers.

Audio Injection & Prompt Leaks: New Security Frontiers

Why voice spoofing is just the tip of the iceberg. Exploring audio injection and prompt leaking vulnerabilities in Voice AI.

The Death of the 1% Sample: Why AI-Driven QA is Mandatory

Why random sampling is a liability in 2024 and how AI-driven 100% coverage transforms compliance and quality assurance.

Beyond the SIP Trunk: Reducing Voice Agent Latency to Sub-300ms

Exploring the architectural shifts required to achieve sub-300ms latency in voice AI, streaming architectures, and edge computing.