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Category: AI in CX

Why the future of CX AI looks more like a team than a bot

AI teammates

The best AI doesn’t come as a single “super bot.” It looks a lot more like a team: specialized agent teammates working together, each with a clear role.

Why 95% of AI is “failing” and what we really think about it

Many AI projects fail not because AI is broken, but because it’s siloed and shallow. Let’s talk about how integrated, personalized AI will succeed where the rest won’t.

Surviving BFCM: how to prep your support team for the biggest weekend of the year

BFCM means 3x tickets and 6x stress. Here’s how brands like OneSkin and Boldr prep support teams with smarter planning and automation.

The future of BPOs: evolving into managed customer experience providers

future of BPOS

Leading brands are no longer just outsourcing to reduce costs. They’re looking for expertise, insight, and integrated technology that can flex with their business needs.

What personalization in CX really means (it’s not a name token)

personalization in CX

If name tokens are the extent of your personalization strategy, you’re not personalizing, you’re personal-labeling. Let’s talk about what really matters.

From chaos to clarity: building support automation that actually scales

support automation

Support automation shouldn’t create more chaos. Learn how to build scalable AI workflows that resolve issues, retain customers, and survive peak season.

How AI is changing customer service (and what it still can’t do)

ai_in_customer_service

You’ve probably seen a thousand hot takes on how AI is “revolutionizing” customer service. Some of them are true. Some are… let’s just say more aspirational.

The real ROI of AI in support (no, it’s not just cost savings)

ROI of AI

If you’re only looking at AI through the lens of “how many agents can we replace,” you’re missing the bigger (and frankly, more interesting) story.

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