Detecting Churn Risk From Support Call Language
Support calls reveal churn risk before cancellation. Combine intent phrases, sentiment trajectory, repeat-contact language and CRM context without overreacting.
AI in voice
Where AI Summaries Should and Should Not Live in Your CRM
AI call summaries can clean up CRM admin or create a new data mess. Decide what belongs in activities, structured fields, tasks and transcripts.
Prompting Your Call AI: Better Summaries From Better Instructions
Better call summaries start with better instructions. Learn how to define output structure, evidence rules, action items, vocabulary and QA for call AI.
What AI Cannot Do on a Sales Call (and Should Not Try)
Sales AI can summarize, surface context and suggest next steps. Learn where human judgment, trust, negotiation and accountability still need control.
Real-Time Translation on Customer Calls: State of the Art in 2026
Real-time voice translation is moving into production contact centers in 2026. Here is what is ready, what still breaks, and how to pilot translated customer calls safely.
Multilingual Transcription: How Well Does It Handle Accents?
Multilingual transcription is improving fast, but language support does not guarantee equal accuracy across accents, code-switching and phone audio. Here is how to test it properly.
AI Call Scoring for QA: Replacing the 2% Sample
AI call scoring can expand QA coverage from tiny manual samples to far more conversations. The hard part is calibration, evidence, appeals and knowing where human review still belongs.
Using Call Transcripts to Find Your Best-Converting Talk Track
Mine real call transcripts to find the language patterns, discovery sequences and next-step phrasing that correlate with better sales conversion.
Automatic CRM notes: Getting clean data without rep effort
Automatic CRM notes can remove after-call admin and improve CRM hygiene, but only when summaries, field updates and record matching are designed for accuracy.