Sendbird partners with GS Neotek to expand generative AI customer experience solutions

Sendbird and GS Neotek partnered June 23 to integrate AI concierge tools into contact centers. The tools automate complex customer transactions across retail and travel.

Categorized in: AI News Customer Support
Published on: Jun 26, 2026
Sendbird partners with GS Neotek to expand generative AI customer experience solutions

Sendbird and GS Neotek announced a strategic partnership on June 23 to expand generative AI-powered customer experience solutions. The deal combines Sendbird's AI agent technology with GS Neotek's customer network and its expertise in building and operating AI contact centers (AICCs), aiming to meet growing enterprise demand for AI concierge services that go beyond simple inquiry handling.

Partnership details

The collaboration will integrate Sendbird's AI concierge platform, delight.ai, into GS Neotek's AICC deployments. The companies plan to support a wide range of AI-powered services, including customer service automation, AI chatbots and voice bots, personalized product recommendations, AI-assisted sales support, and multilingual customer engagement.

Sendbird said the platform can improve response quality, operational efficiency, and agent productivity while delivering personalized customer experiences. The generative AI solution is designed to enhance the entire customer journey - covering not only service interactions but also reservations, ordering, recommendations, and purchase conversion.

Where the technology will be used

The two companies plan to expand their AI concierge business across industries with complex customer touchpoints and high demand for real-time interactions. Target sectors include retail and e-commerce, travel and hospitality, financial services, and delivery, mobility, and home-service platforms.

Why this matters for customer support professionals

This partnership signals that AI in customer service is moving beyond simple FAQ bots. The tools described here can handle tasks that directly affect revenue - reservations, ordering, and purchase conversion. For support teams, that means agents may spend less time on routine transactions and more on complex issues that require human judgment.

For supervisors overseeing AI contact centers, understanding how to manage blended human-AI workflows becomes essential. AI Learning Path for Call Center Supervisors can help leaders build the skills to oversee these environments effectively. Meanwhile, as AI concierge features become more common, staying current with AI for Customer Support trends will help teams evaluate which tools actually deliver on their promises.


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