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Sendbird Launches Delight.ai, Enhancing Customer Interactions with Long-Term Memory Integration

Sendbird unveils Delight.ai, an AI-powered concierge with long-term memory integration to revolutionize customer service across multiple channels.

Sendbird has introduced Delight.ai, an AI-powered concierge designed to enhance customer service experiences, the company announced on November 18. This innovative tool allows enterprises to deploy AI across various customer service channels, including in-app chat, voice, SMS, email, and social media. Delight.ai is available for mid-market and enterprise brands operating in sectors such as retail, travel, on-demand services, B2B SaaS, fintech, and healthcare.

The core of Delight.ai’s functionality lies in its long-term memory capability, which integrates with enterprise data repositories, including CRM systems, transaction processing platforms, and customer data platforms. As customers interact with these systems—browsing catalogs, making purchases, returning items, or lodging complaints—the data accumulates, enabling a deeper understanding of customer behavior.

According to Sendbird, this memory framework “keeps those signals, combines them with structured data, and forms an evolving profile that updates as behavior shifts.” The next phase involves incorporating “business intent” to guide the AI’s interactions based on specific company goals, such as customer retention, conversion rates, or swift issue resolution. This tailored approach is designed to enhance user experience and drive better outcomes for businesses.

Industry analysts, including Dave Michels from TalkingPointz, emphasize the importance of balancing personalization with privacy concerns. “Getting there involves integrating back-end systems so the data driving the personalization is available,” Michels noted, highlighting the intricate interplay between technology and user expectations. While consumers generally favor personalized interactions, they are wary of AI tools that may seem overly intrusive.

Sendbird has developed multiple integrations with popular systems such as Salesforce, Zendesk, and Freshworks, which help underpin Delight.ai’s memory-driven interactions. This interconnectedness allows the concierge to maintain contextual awareness as customers transition between different communication methods, whether chat, SMS, email, or voice.

During these interactions, Delight.ai leverages generative AI, enabling customers to communicate naturally—either by typing or speaking—while receiving responses that mimic human conversation. However, it is crucial for businesses to be transparent about AI usage; studies have shown that disclosure fosters trust in customer interactions.

The introduction of Delight.ai underscores a broader trend in the technology landscape, as businesses increasingly seek to harness AI to personalize customer experiences without compromising privacy. As customer expectations evolve, companies must navigate the delicate balance between providing tailored services and maintaining consumer trust. The success of such AI-driven solutions will likely depend on how effectively organizations can integrate their systems and manage user data to deliver meaningful, relevant interactions.

Looking ahead, the competitive landscape will likely see further advancements in AI technologies as companies, including Sendbird, seek to refine and expand their offerings. The ability to create rich, personalized customer journeys could become a key differentiator in sectors where customer loyalty is paramount. As businesses adopt tools like Delight.ai, the focus will undoubtedly shift toward optimizing these interactions while ensuring ethical data practices are upheld.

See also
Sofía Méndez
Written By

At AIPressa, my work focuses on deciphering how artificial intelligence is transforming digital marketing in ways that seemed like science fiction just a few years ago. I've closely followed the evolution from early automation tools to today's generative AI systems that create complete campaigns. My approach: separating strategies that truly work from marketing noise, always seeking the balance between technological innovation and measurable results. When I'm not analyzing the latest AI marketing trends, I'm probably experimenting with new automation tools or building workflows that promise to revolutionize my creative process.

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