Our routing product allows customers to dynamically define criteria for directing conversations to human agents, while our agent assist product acts as a co-pilot for human support agents, enhancing their efficiency by providing AI-driven insights.

The landscape of customer support is diverse, with many specific workflows required for different industries, highlighting the need for tailored AI solutions in this area.

Customer support is an interesting space for AI agents because it involves a lot of unstructured information that can be effectively utilized by AI models.

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.

The market for AI customer support agents is crowded, but many existing solutions are inadequate for complex workflows, leaving room for more sophisticated entrants.

Even as AI takes over routine sales tasks, human accountability remains essential for maintaining quality and trust in customer interactions.

The supervisor approach decomposes complex customer queries across specialized agents, allowing us to achieve higher accuracy levels in our responses.

Building AI products that can perform tasks traditionally done by humans, like customer support or sales, is challenging but essential for winning large enterprise contracts.

AI can significantly enhance customer support and financial advice in our industry by automating transactional tasks, allowing for a better user experience.