The latest contact center research, trends, and strategies

Learning

Replicant vs Decagon: which is better for AI voice agents?

Most contact center leaders aren’t asking for flashier automation. They’re asking for resolution.

They’ve tried bots before, IVRs that redirect, chat tools that escalate at the first sign of complexity, “AI” that still sounds like a phone tree. None of them moved the needle ...

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Corporate

Replicant named a leader in CMP Research Prism: because AI should ship, not just demo

Most contact center leaders aren’t asking for flashier automation. They’re asking for resolution.

They’ve tried bots before, IVRs that redirect, chat tools that escalate at the first sign of complexity, “AI” that still sounds like a phone tree. None of them moved the needle ...

Read more

Strategy

Healthcare's staffing crisis is self-inflicted

Most contact center leaders aren’t asking for flashier automation. They’re asking for resolution.

They’ve tried bots before, IVRs that redirect, chat tools that escalate at the first sign of complexity, “AI” that still sounds like a phone tree. None of them moved the needle ...

Read more

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Learning

AI fatigue is real: How to cut through the noise with real outcomes

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Learning

How to measure voice AI success: Metrics that actually matter

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Learning

When to hand off to a human: How to set effective AI escalation rules

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Learning

What happens to the workforce when AI handles 50% of your calls?

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Learning

What AI agents still can’t do — and why that’s a good thing

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Learning

What contact centers miss when they only measure AHT

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