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Category: AI strategy and execution

Why no-code AI is the antidote to failed CX projects

no-code-ai

AI shouldn’t live in engineering purgatory, but in the hands of the people who understand your customers best, and it should deliver value fast.

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.

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.

From flirting to infrastructure: how AI in CX actually scales

If you want AI to be more than a buzzword in your next board meeting, it has to be more than a widget in your help center.

When AI knows its limits: why seamless human handoffs are critical

Human handoffs in automation

When support gets complex, emotional, or nuanced, your AI needs to know when to hand things off and how to do it without making the customer start from scratch.

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