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Practical guidance on AI agents, contact center operations, automation, and CX, from the team building agentic AI for enterprise customer experience.
Articles
237 articles
How AI voice agents handle bookings, cancellations, guest questions and disruption updates for travel brands, where a human still has to step in, and the KPIs that show it is working.
The real test of a voice agent is the multi-step call: two intents, a verification, a system lookup, an action and a clean handoff. How that works, where it breaks, and the KPIs that show it is working.
Every call creates work after it ends. How AI call summarization writes the after-call notes, where it pays off, and how to roll it out without creating another layer to manage.
Real callers speak fast, blend languages and phone in from noisy places. How AI voice agents handle accents, dialects and background noise, what breaks when they do not, and what to test before rollout.
Seven ways AI changes contact center workforce management, from forecasting by intent and intraday staffing moves to the call volume AI voice agents take off the schedule, and the KPIs that prove it.
Ten things enterprises get wrong about AI voice agents, from overnight deployment and full replacement to cost and IVR confusion, and what production deployments actually require.
How AI voice agents change utility customer service: instant answering during outage spikes, billing and payment support, account changes, 24/7 coverage, and the handoff paths that keep complex cases with people.
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.
Both Orvera and Vapi help teams automate customer interactions with AI, but the better fit depends on what the buyer actually needs in the rollout...
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