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 goal of an AI native CRM is to enhance the user experience by providing tools that allow for strategic decision-making without the burden of manual data entry.

We needed to capture raw data and transform it to feed into the CRM, which is crucial for user workflow integration.

AI native CRM systems can eliminate the cumbersome data entry process, allowing users to focus on building relationships rather than managing data.

The importance of context in customer interactions is emphasized, as it allows for more personalized and effective support.

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

AI applications that provide context about users' lives and help them make better decisions will become mainstream, enhancing personal productivity and decision-making.

Users appreciate how the memory feature enables the AI to understand their context and preferences, enhancing interaction quality, and we're heading towards a world where AI will have incredible context about your life and provide extremely helpful answers.

The traditional CRM systems require users to manage multiple tabs and workflows, making it easy to lose track of important information and relationships.