Press release
eGain Launches AI Agent for Contact Center, Revolutionizing Service Performance
eGain Launches AI Agent for Contact Center, Revolutionizing Service PerformanceEmpowers human agents with real-time guidance in the flow of customer conversations
SUNNYVALE, Calif., March 18, 2025 - eGain (NASDAQ: EGAN), the leader in AI Knowledge Management, today announced the launch of eGain AI Agent for Contact Center, a groundbreaking solution to address the challenge of variable agent performance in contact centers. Using this solution, all agents can help customers like experts do, improving agent experience and customer satisfaction.
"84% of contact center agents hate their desktop tools, per Gartner," said Ashu Roy, eGain CEO. "Instead of complaining about a 'slow computer' while desperately clicking across apps, they can now rely on trusted, step-by-step AI guidance."
eGain AI Agent for Contact Center taps into the single source of truth from the eGain AI Knowledge Hub to deliver consumable answers. Specifically, it:
• Monitors conversation in real-time to establish intent
• Presents guided knowledge in the flow of conversation
• Adapts to agent tenure and topic-specific proficiency
• Ensures compliance with regulations and best practice
• Improves by learning from conversations and feedback
The solution connects out of the box with Amazon Connect, Genesys, and Salesforce. APIs are available to integrate with other CRM and contact center platforms.
Visit eGain.com/ai-agent-contact-center for more information.
About eGain
eGain AI Knowledge Hub helps businesses improve experience and reduce cost by delivering trusted, consumable answers.
Contact
eGain Media Relations
press@egain.com
eGain Communications
St Catherine's House, Oxford Street
Newbury, Berkshire, United Kingdom RG14 1JQ
eGain Corporation is renowned for its digital customer engagement solutions, specializing in AI and knowledge management to enhance customer experiences across multiple channels. We offer a platform that combines artificial intelligence with knowledge management to provide personalized and contextual interactions, aiming to streamline customer service operations and optimize contact center efficiency.
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