Tuesday, March 10, 2026
Decagon, a leading provider of conversational AI agents designed to deliver concierge-style customer experiences, has unveiled a new generation of proactive agentic technology. This latest innovation aims to transform customer interactions by anticipating needs, remembering customer preferences, and initiating communication at the most appropriate time.
As businesses continue to adopt AI-driven solutions, Decagon’s latest development focuses on making customer service more intelligent and proactive. Rather than simply reacting to inquiries, the company’s advanced AI agents can now predict customer needs and engage them before issues arise. This shift reflects a broader movement within the customer experience (CX) industry toward proactive engagement and personalized service.
To ensure the technology meets real-world demands, Decagon collaborated closely with its enterprise customers during the development process. The company worked with businesses in sectors such as travel, retail, and health technology, testing numerous real-life scenarios. In these industries, timely communication and accurate insights can make a significant difference—whether it’s ensuring a traveler catches a flight, confirming a retail delivery, or providing critical health updates.
“We have a core principle here at Decagon: invent what customers want,” said Alan Yiu, VP of Product at Decagon. “That means working closely with the companies actually deploying our agents and iterating quickly based on what we see in the real world. Our goal is to build technology that helps businesses deliver the kind of fast, concierge experiences today’s consumers deserve.”
One of the most notable additions to Decagon’s platform is its outbound voice capability. With this feature, AI voice agents can proactively call customers instead of waiting for inbound queries. These voice models are specifically optimized to address the technical challenges of outbound calling, allowing organizations to reliably connect with customers without requiring additional manual effort.
“Decagon gave us a way to shift from reactive support to proactive outreach, while empowering our team to focus on the customer interactions where the human touch matters most,” said Vikram Rajagopalan, VP of Customer Experience at Hertz.
Traditionally, most automation technologies have focused on helping companies respond to customer questions more quickly and reduce support costs. However, this reactive approach often treats each interaction as an isolated event without considering past conversations or customer context.
Decagon aims to change that dynamic by enabling businesses to deliver a concierge-like experience at scale. Instead of starting from scratch every time a customer reaches out, the AI agents maintain contextual understanding and gradually build stronger relationships over time.
“A trusted concierge remembers who you are, anticipates your needs, reaches out at the right moment, and builds context over time,” said Mr. Yiu at Decagon. “With this launch, we’re helping businesses deliver this concierge treatment at global scale and empower their customer-facing teams to do their best work.”
Another major advancement comes in the form of Decagon’s new user memory capability. This feature captures detailed conversational insights such as preferences, sentiment signals, and behavioral patterns. By doing so, the platform enables organizations to move beyond static customer records and build dynamic, evolving relationships.
"My philosophy around customer relationships is that it’s not just about what you do for a customer, it’s about how you make them feel,” said Daryl Unger, VP of Customer Experience at Away, “As human beings, we’re wired to remember emotions far longer than we remember transactions, and that emotional impact is what ultimately drives loyalty. That’s why every interaction matters.”
Decagon’s user memory feature allows customers to continue conversations without repeating information, while AI agents can remember preferences such as product interests or sizing. At the same time, customer experience teams gain a unified view of each customer’s journey, helping them deliver more personalized and meaningful engagement.
“Decagon allows us to retain meaningful context from past customer interactions, so we can serve customers with continuity and understanding rather than starting from scratch each time. It shifts our approach from handling isolated transactions to building relationships that evolve over years,” added Mr. Unger.
Overall, these innovations position Decagon at the forefront of the emerging agentic commerce era, where proactive AI concierge agents play a central role in shaping the future of customer engagement.
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