AI Voice Technology Insights & Updates

How to choose models for a voicebot: speech recognition, LLM, and speech synthesis, with latency targets, routing, test plans, and U.S. compliance checks.

Learn how to define, measure and cut errors in customer service voice and chat bots, from failure-rate math to testing, handoff rules and monitoring.

Learn how to monitor intent accuracy in contact center AI: the metrics that matter, how to build a test set, spot drift early and fix misclassified intents.

How to design a warm transfer for AI voice and chat: triggers, routing, the context to pass, fallbacks when no agent is free, and the metrics that prove it works.

What a chatbot audit log should record, how to make it tamper-evident, who should see it, and how long U.S. rules say to keep it. A practical guide.

A benefits FAQ chatbot answers plan and enrollment questions around the clock and frees HR for complex cases. See the benefits, limits and setup steps.

Learn how AI personalizes IVR with caller intent and customer data, what results to expect, and a step-by-step plan to modernize your phone menu in the US.

Learn how ticket triage automation classifies, prioritizes and routes support requests, how to build it with safeguards, and which metrics show it works.

AI agent coaching explained: how real-time prompts, whisper coaching and post-call review differ, how to roll them out, and which KPIs show they work.

Learn how to measure CSAT for chatbots and voice bots: survey design, the formula, supporting metrics, prediction models, and fair bot vs. human comparisons.