Why Real-Time Artificial Intelligence?
It typically takes agents 4-6 months to become proficient in selling products or resolving customer requests, but most organizations still find massive gaps between their top performers and the rest of their workforce, even after training. When analyzing customer data, we typically see a 3x- 4x gap in top and bottom performers for metrics like revenue per chat, conversion rates, or average order value. This gap compounds over time, amplifying lost revenue.
Forward-thinking organizations are moving toward real-time artificial intelligence to solve this issue. Learn how real-time AI is disrupting legacy categories like chatbots, conversational AI, and experience management in this comprehensive Ebook.
Here's what you'll learn:
- The three categories of real-world artificial intelligence
- The drawbacks of self-service, post-conversational analytics, and experience management tools
- How real-time artificial intelligence improves prospect and customer interactions.
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From Metrics to Meaning: Insights from the 2025 Benchmarking Study
Join us to gain a clear view of where contact center excellence is heading, and how to position your organization at the forefront of this transformation.
Cresta Launches Automated AI Agent Testing: Closing the Trust Gap in Enterprise AI
With the launch of its Automated AI Agent Testing suite, the company introduces a way to use AI to test AI, giving enterprises the assurance that every AI agent released is accurate, compliant, and production-ready.
Introducing Cresta's Automated AI Agent Testing suite
Trust in AI isn’t assumed, it’s earned through comprehensive, disciplined testing. Cresta’s Automated AI Agent Testing suite validates every release with expert-aligned LLM judges, simulated customers that uncover edge cases, and in-product feedback loops that turn conversation reviews into safeguards. The result: safer, faster deployments you can trust.