The integration of AI in customer support has led to the automation of 60% of low-priority cases, significantly reducing the need for human intervention.

We're creating a better, more human-like customer support experience with AI agents to help users get the support they need efficiently.

We are using AI across the company, with every customer service ticket seen by AI first, which has improved response times and accuracy.

AI models have become proficient at processing unstructured data, allowing them to generate helpful responses and take actions in customer support scenarios.

A company that automated 60% of its customer support tickets transitioned from needing to raise funds to achieving cash flow break-even while maintaining 50% annual growth, illustrating the potential of AI in enhancing operational efficiency.

Decagon builds AI agents that not only respond to customer inquiries but also create a comprehensive support ecosystem around them.

Since the release of ChatGPT, we've seen a shift in enterprise interest from how generative AI works to how it can solve specific business problems.

Currently, we are focusing 60% of our resources on exploring new user experiences that go beyond traditional chat interfaces, aiming for more multimodal interactions.

AI-driven automation touches 60% of Cisco's 1.8 million support cases, significantly enhancing efficiency.