Cresta Named Rising Star Organization by CX Awards

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Cresta, a leading provider of generative AI for contact centers, has been named "Rising Star Organization" by the CX Awards. The CX Awards, organized by leading international news publication CX Today, is a global awards program that recognizes CX technology innovation and industry success.
Judging was based on an organization's ability to demonstrate innovation, improved experience, and execution. The panel of 16 judges included industry experts such as Megan Burns, Founder & Principal of Experience Enterprises, and Dan Miller, Lead Analyst at Opus Research.
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Founded in 2017, Cresta's conversational intelligence platform harnesses generative AI to revolutionize how contact centers function – resulting in up to 50% less agent attrition and reducing new agent ramp time of up to two weeks. Cresta's platform also helps businesses unlock previously siloed revenue opportunities and build more meaningful relationships with their customers – resulting in a 20% increase in customer satisfaction. Cresta's AI-powered solutions include:
- Cresta Agent Assist amplifies the best practices of top performers and applies them across the team, guiding agents in real time through customer conversations with coaching, assistance, and automation. With Cresta Agent Assist, human workers are empowered to be significantly more effective through automated note taking, real-time suggested responses, hints, and checklists.
- Cresta Director helps managers better support and coach by providing insight into all agent conversations, creating personalized coaching plans, and automated scorecards. Cresta Director also automatically identifies coaching gaps and streamlines coaching under one easy-to-use interface.
- Cresta Insights empowers organizations to better understand customer trends, answer critical business questions, and uncover new unknowns to make faster, smarter decisions.
- Cresta Virtual Agent chatbot helps businesses pinpoint specific behaviors within conversations, and automate conversations by leveraging Large Language Models (LLMs).
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