An AI native CRM should allow users to ask questions and receive detailed, context-rich answers, transforming how they interact with customer data and relationships.

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

The AI agent acts like a development partner, asking questions and seeking clarification, which enhances the coding experience.

We're excited to explore how to bring the benefits of agents to users and the ecosystem more broadly, focusing on personalization and context.

During the deployment process, we work closely with customers to define how their AI agent should respond, including tone and response structure, to meet their specific needs and preferences.

The 'agent inbox' prototype allows users to see when agents require actions, providing detailed descriptions and facilitating user interaction with the agent's tasks.

AI agents can help product managers offload draining tasks, allowing them to focus on customer immersion, data analysis, and strategic thinking.

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.

With Ask David, we're providing curated answers, insights, and analytics quickly, enhancing our efficiency without replacing our roles.