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.
View more resources
The Enterprise Buyer’s Guide to AI Agents
A strategic workbook for evaluating, selecting, and deploying AI agents with confidence.
How Cresta AI Analyst helps FinServ leaders manage regulatory change
Customer experience in Financial Services is complex, to say the least. Regulations change with the stroke of a pen, and your business needs to stay compliant and keep your customers informed. This video shows how Cresta AI Analyst helps FinServ leaders keep up with this rapidly-shifting landscape.
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.