Navigating responsible AI: A deep dive into Cresta's approach
Dive into the world of Responsible AI with Cresta, where cutting-edge technology meets ethical innovation. In this engaging webinar, Cresta’s co-founder and chief technology officer Tim Shi, alongside Jessica Stallings, Product Marketing Manager, will guide you through Cresta’s commitment to responsible and ethical generative AI.
Discover how Cresta addresses the complexities of generative AI, particularly in the sensitive domain of customer conversations. Our experts will shed light on the strategies we employ to ensure fairness, transparency, privacy, quality, and risk mitigation throughout the development and deployment phases. As a trusted technology partner, Cresta is dedicated to navigating the ethical landscape of AI, ensuring its positive impact on the world's leading contact centers.
Don't miss this opportunity to gain insights into Cresta’s dedication into responsible AI practices that drive the world's leading contact centers. Join us and explore the responsible side of AI that empowers the customer experience and its pivotal role in shaping the future of 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.