Welcome to the AI Maturity Blueprint webinar series, where expert speakers explore the four essential pillars of AI adoption in contact centers: People, Process, Technology, and ELT Buy-In. In this series, you’ll learn how to build a next-generation contact center where AI and human agents seamlessly collaborate to deliver exceptional results.
Episode #1 focuses on one of the most critical elements of AI maturity—The Role of People. While AI technology is undoubtedly transforming contact centers, it’s the culture surrounding AI integration that truly drives success. In this episode, we’ll dive into how fostering an AI-ready culture can elevate both your agents’ performance and your overall business outcomes.
AI is most successful when it complements human expertise, and companies that embrace AI as an enabler—not a disruptor—are the ones leading the charge. These organizations see increased agent engagement, smoother operations, and stronger leadership. Join Theresa Piasta, Director of Customer Strategy at Cresta, and Nate Brown, Head of CX Advisory at MetricSherpa, as they share actionable insights on how to build AI buy-in, reskill your teams, and empower your workforce for an AI-driven future.
What You’ll Gain:
If you’re ready to harness AI’s potential and make it work for your teams, this episode is for you.
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.

See how leading brands are transforming customer experience and driving greater efficiency with Cresta, the unified platform for human and AI agents.
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.