As budget season approaches for data leaders, the article emphasizes the importance of strategic investments in 2026 to adapt to rapidly changing AI technologies. It outlines key recommendations, including creating API infrastructures, investing in solution architect roles, and enhancing data governance practices to prepare for a future where AI agents play a significant role in business processes.

Systems of record may be perceived as becoming obsolete due to the rise of AI agents that automate tasks and generate data. However, the author argues that these systems will become increasingly essential in governing AI activities, managing data access, and ensuring compliance. The future may see a transformation of systems of record into control layers, focusing on agent governance rather than merely being places where work occurs.

The article discusses the architecture and implementation of a Robust Automated Governance (RAG) system for enterprises, focusing on strategies to enhance data management and compliance. It emphasizes the importance of integrating various data sources and maintaining a structured approach to governance to ensure effective operation and decision-making.