Priya Sawant

The future of customer experience is AI-led, with human collaboration guiding speed, accuracy, and trust.

AI agents without memory start every interaction from scratch. Learn how smarter memory unlocks personalization and lasting loyalty.

See how a GenerativeAgent handles fraud in banking—always on, always personal. It works with human agents while freeing them to focus on what matters most.

CX leaders share how they choose AI agent use cases in customer service — focusing on ROI, containment, and reducing customer friction.

Here are the Discover the top FAQs on selecting AI customer service agent use cases. Learn why Gartner estimates 40% of projects will fail without the right focus.

Only 5% of AI agents succeed today. Learn how CX leaders can overcome failures and join the few delivering real business value.

ASAPP’s perspective on the AI arms race: why outcomes, trust, and enterprise value matter more than hype and novelty

For AI agent solutions, infrastructure that allows you to test, train, monitor, and govern your AI agents before and after they go live are must-haves. Here are the three capabilities to start with.

Discover 8 high-impact use cases for AI agents in retail CX—from returns to upsells—and how to boost service speed, scale, and satisfaction.

Learn what CX leaders in financial services should expect from AI agents—and why safety and security must go far beyond the basics.

The challenge isn’t cost—it’s trust. GenerativeAgent delivers enterprise-ready AI with tools for safe testing, human review, and live monitoring.

Measuring GenAI agents isn’t about sounding human. It’s about outcomes. Here’s what to track to protect your brand and bottom line.