The success of our operational data business created the momentum to explore building applications, which was a significant evolution for Scale AI.

The goal is to build differentiated AI capabilities by applying our expertise in data to solve unique problems for enterprises.

The architecture of applications is evolving with AI, leading to a separation of business logic from data management, which will change how applications are built and orchestrated.

We've been developing AI products for customer support for six to seven years, and now AI is the future of our business.

We're rolling out various AI technologies to enhance productivity, including external AI solutions.

Current enterprise use cases for AI include optimizing workflows, particularly in healthcare for claim processing, and in financial services for portfolio risk management.

The user experience for AI workflows is evolving from chat interfaces to more integrated systems that run in the background, with a focus on monitoring and performance guarantees.

Most AI applications in businesses will come from external software providers rather than being built in-house, as many functions are considered context rather than core to the business.

AI will serve as a user interface for various applications, allowing users to query and aggregate information seamlessly across different systems, enhancing productivity, while agents will drive enterprise consumption and amplify human potential, transforming how users interact with technology.