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Browse explainers, definitions, and practical content to help you navigate automation, CX, and AI agents with confidence.
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10 must-have prompt templates in customer service
AI-powered customer service thrives on clear, consistent communication. These 10 prompt templates help teams respond faster, stay on-brand, and build lasting customer trust.
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Customer success automation: How IT leaders can scale retention and growth
Customer success teams are stretched thin—automation lets them scale engagement, prevent churn, and drive growth without adding headcount.
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7 factors for choosing a conversational AI vendor for call centers
The wrong AI solution can frustrate customers with clunky handoffs, create compliance risks you didn’t budget for, and trap your teams in rigid workflows that can’t scale.
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Agentic AI in banking: automate with trust, compliance, and control
Dive into how agentic AI in banking must earn trust before it can deliver scale & how Parloa makes that possible.
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Agentic AI vs generative AI: A comprehensive guide
This convergence of generative and agentic AI is the next major leap that redefines how businesses connect with their customers.
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Zero-shot prompting: How to get AI models to perform tasks without training examples
Explore what zero-shot prompting is (and how it differs from few-shot) & why it matters for enterprise use.
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Why contact center analytics is the new CX advantage
At Parloa, we understand that analytics is the foundation that helps contact centers listen intelligently, fine-tune conversations, and build lasting customer trust. That’s what our AI agent management platform is all about.
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Zero-shot vs. few-shot prompting: What’s the difference?
AI models have traditionally depended on massive labeled datasets—a costly, time-consuming requirement that slows innovation. But approaches like zero-shot and few-shot prompting are changing the game.
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AI-driven incident response in CX: Tools and frameworks for IT and CX leaders
Research shows that 33% of customers will switch to a competitor after just one experience with downtime. For smaller businesses, every minute offline can cost an average of $427. The longer it lasts, the more opportunities are lost not just in transactions but in customer engagement that could have built loyalty.