Topic
How AI voice agents handle live conversations across inbound and outbound calling, from the first intent signal through to a finished resolution.
Articles
How AI voice agents handle callers who interrupt, talk over the agent or phone in from noisy places: voice activity detection, barge-in, end-of-turn detection, short reprompts, and the KPIs that show where noisy calls are hurting outcomes.
Net Promoter Score (NPS) measures how likely customers are to recommend a company, and that score is heavily shaped inside the contact center. This post explains how AI voice agents affect NPS through speed, resolution and consistency.
Seven ways AI voice agents lift CSAT (instant answers, intent routing, end-to-end resolution, context-rich handoffs), the use cases that move the score fastest, what hurts it, and the KPIs to track alongside it.
How AI voice agents reduce phone fraud: consistent verification, risk signals that matter (identity mismatch, pressure, request type), safe escalation with context, audit trails, and the call types to protect first.
Seven ways AI voice agents are changing contact centers, from instant answering and intent-based routing to context-rich handoffs and searchable call data, plus the use cases to automate first and the KPIs that prove it.
Contact centers are under more pressure than ever, as customers expect faster answers and shorter wait times. This post explains why contact center leaders are switching to AI voice agents to handle volume spikes and staffing constraints.
Fifteen rules for AI voice agents that hold up at production volume: one call reason first, one question at a time, confirm before you execute, escalate with context, and measure by intent rather than by average.
Ten omnichannel voice AI platforms described by what each is built for, with the criteria to test them on and vendor facts checked October 5, 2026.
Customer engagement rarely happens on a single channel anymore, as customers move between chat, SMS and phone calls. This post explains how omnichannel voice AI keeps context across those channels so customers stop repeating themselves.
More topics
See how enterprise teams turn these AI strategies into resolved conversations, on the stack they already run.
