Contact center AI increasingly routes customers, prioritizes cases and triggers resolutions without waiting for an agent, which means a recommendation can become a completed action before a person ...

As AI gives all contact center platforms the same performance-boosting features for humans, the competitive gap will move to ...

These three priorities offer platform providers more of an advantage than any individual type of channel partner.

The translation capability is built into the native Zendesk Contact Center experience. A customer’s language can be identified in the contact flow or selected by the agent, who can control translation ...

On Sep. 30, 2026, No Jitter will stop publishing. We’re grateful to all those who read our publication over the last two decades.

Customer service implementations are a primary use case for those many organizations already aboard the agentic AI train. Orchestration, observability and governance are necessary technical systems ...

Claudeforce runs on top of Salesforce “via our new AIforce UI harness…. Here, the UI is the AI — allowing you to build custom apps dynamically and answer any enterprise question,” said Benioff in the ...

Agentic AI deployment is only going to be as effective as the foundational state of the enterprise data infrastructure underpinning it. The articles below address some of the most critical technical ...

A customer problem with a provided service is escalated to an AI agent after an initial chatbot conversation. The agent checks the official documentation, which clearly states that Policy A is applied ...

The migration of contact centers from on-premises to the cloud may be accelerating, driven by a confluence of factors: a broader push to cloud-based solutions, desire for AI-powered capabilities and ...

For decades, IT budgeting followed a familiar pattern. Count your users. Multiply by a per-seat price. Add infrastructure, support contracts and a contingency line. Present the number. Defend the ...