Your go-to resource for AI & customer service fundamentals

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.

Dive into how agentic AI in banking must earn trust before it can deliver scale & how Parloa makes that possible.

This convergence of generative and agentic AI is the next major leap that redefines how businesses connect with their customers.

Explore what zero-shot prompting is (and how it differs from few-shot) & why it matters for enterprise use.

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.

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.

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.

The pressures on CX leaders have only intensified. Customers expect service that is immediate, personalized, and in their own language. Enterprises are judged on response times, CSAT, and overall customer satisfaction even as budgets tighten and support volumes rise. 

Gartner predicts AI will autonomously solve 80% of common customer service issues without human intervention by 2029, leading to a 30% reduction in operational costs.