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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Introducing Cresta CLI
Cresta CLI is a command-line interface for the Cresta platform. Developers and the coding agents they work with can read an AI agent's full configuration, query real production conversations, traces, and feedback, script those results into the tools their team already uses, and run tests and deploys inside their own CI/CD pipeline.
Meet Cresta: The Unified Platform for Human + AI Agents
See how leading brands are transforming customer experience and driving greater efficiency with Cresta, the unified platform for human and AI agents.
How Sunbit scaled VIP-level service to millions of customers with Cresta AI
Sunbit's contact center was growing faster than their IVR could handle. By replacing their tree-based phone system with Cresta's AI voice agent and layering in real-time agent assist and 100% QA coverage, Sunbit contained 50% of interactions autonomously, cut routing time from 90 seconds to five, and drove average handle times down 10% — while customer satisfaction went up.