Most contact centers don’t roll out AI because it sounds exciting. They do it because they need to be more efficient, more productive, or they need to fix an issue.

Video customer support reduces handle time and builds trust, but only in the right situations. Learn when to use it, when to skip it, and how to implement it in an omnichannel contact center.

Customer support for lottery and gaming companies seems like it should be simple. Most interactions tend to fall into a standard set of categories, linked to account access, claims, ticket validation, or payments. However, even if the conversations seem simple, they’re loaded with urgency, suspicion, and pressure. One unclear answer can turn into three follow-up calls and a formal complaint.

Traditional metrics don't always reflect how customers actually feel. Sentiment analysis uses NLP to uncover the emotions behind every interaction, helping contact centers improve experiences, not just outcomes.

This guide will break down the true cost drivers, highlight where smart contact center cost optimization pays off, and give teams a structure that aligns with customer needs.

This guide introduces the top contact center AI solutions, from agent assist to AI self-service and conversational analytics, primed to support customer-focused teams in 2026.

Microsoft Teams is proving to be so much more than a collaboration hub for today’s companies. It’s turning into the place where voice, context, and AI live together, helping customer service agents move faster and supervisors act on data.