
Kore.ai has recently launched its AI-powered contact center solutions on the AWS Marketplace, enhancing its visibility and ease of access for businesses. The two key offerings—Kore.ai XO Automation and Kore.ai Contact Center AI—are designed to streamline customer service operations through advanced automation and AI-driven interactions.
Kore.ai CEO Raj Koneru highlighted the importance of these technologies, stating that the integration with AWS will help businesses achieve transformative results in customer service and AI implementation.
Kore.ai, a leader in conversational and generative AI platforms, has announced the availability of two key products, Kore.ai XO Automation and Kore.ai Contact Center AI, on the AWS Marketplace. This allows businesses to easily find, purchase, and deploy these AI-powered solutions through AWS's digital catalog.
The Kore.ai XO Automation platform integrates large language models (LLMs) and AI technologies through a no-code interface, enabling enterprises to design and deploy AI chatbots across more than 40 digital and voice channels. It supports over 130 languages and offers features like Retrieval Augmented Generation (RAG) and multi-engine natural language understanding (NLU).
Contact Center AI, integrated with Kore.ai's Experience Optimization (XO) platform, automates up to 80% of customer interactions, reducing wait times and boosting agent productivity through real-time advice and automation. These solutions aim to enhance customer experiences while improving operational efficiency.
This move aligns with Kore.ai's strategy to provide innovative tools that enable businesses to leverage AI for growth, improve customer satisfaction, and stay competitive in today's fast-evolving landscape. The integration with AWS further simplifies the deployment and management of these solutions, making it easier for companies to automate and optimize customer interactions using AI technologies.
Meanwhile, Kore.ai Contact Center AI enhances customer service efficiency by automating up to 80% of interactions, reducing wait times, and providing real-time AI-driven insights for agents.
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