Data Stewardship in the Agentic Era: How Stewards Use Soda AI

The rise of agentic AI has transformed data stewardship by increasing the scale and velocity at which data governance must operate, while also presenting new opportunities for efficiency through AI-augmented workflows. AI agents can manage repetitive tasks such as data drafting, profiling, and routing, allowing human data stewards to focus on strategic governance and decision-making. Soda AI exemplifies this approach by automating routine data stewardship functions and ensuring data quality through features like executable data contracts and ML-based anomaly detection, while maintaining human oversight and accountability. This human-in-the-loop model ensures that stewards retain control over data governance, enhancing their ability to enforce policies and uphold data standards across their organizations. AI offers the potential to transform janitorial tasks into genuine governance work, allowing data stewards to concentrate on the strategic aspects of their roles, thereby improving the speed and accuracy of data-driven decision-making while preserving accountability and control.

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