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.

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.

CRM systems will continue to exist, but the focus is shifting from CRM-centric to AI-centric operations, as AI will manage customer engagement and activities more effectively.

Existing CRM systems often suffer from incomplete data, with implementations only capturing about 40-50% of the necessary information, which hinders effective user workflows.

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

As AI models become more deterministic and accurate, founders can focus more on improving user experience and customer relationships rather than troubleshooting AI outputs.

The integration of AI in customer experience is not just about technology; it also involves understanding customer needs and interactions. I need to build an AI to help customers by understanding their needs and reducing their operational burden, which directly correlates with financial results.

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

The integration of AI in customer support will allow businesses to engage with customers more effectively, capturing institutional knowledge and improving service.