en.Wedoany.com Reported - Round Rock, Texas, June 3, 2026 – Actian, the data and AI division of HCLSoftware, today announced the launch of the Actian Data Steward Agent. Embedded within the Actian Data Intelligence Platform, this new AI agent is designed to provide a governed semantic layer, enabling enterprise AI systems, internal workflows, MCP (Model Context Protocol)-connected tools, and third-party AI agents to share business context. The agent automates the time-consuming tasks of metadata documentation, enrichment, and governance, thereby accelerating time-to-value and reducing the manual effort required to build and maintain an AI-ready data foundation.
According to Gartner, "Most data and analytics (D&A) leaders still fail to effectively leverage metadata, as 51% of organizations still rely on passive metadata practices, limiting their ability to unlock business value." The maintenance and cataloging of metadata falls almost entirely on data stewards, creating a bottleneck. Gartner also notes that "these stewards typically allocate only a small portion of their time (often 5% to 10%) to governance tasks, including cataloging." As enterprises deploy an increasing number of AI agents across workflows, consistent metadata becomes the foundation for every agent's operation. The Data Steward Agent is embedded directly into the cataloging workflow, continuously updating metadata as the data landscape evolves.
The agent is built on the Actian Data Intelligence Platform's federated knowledge graph, semantic layer, data products, and data contracts. It enables internal platform capabilities and external AI agents—including third-party systems connected via MCP and Agent-to-Agent (A2A) integration—to operate within the same governed business context. By continuously identifying gaps, suggesting updates, and enforcing consistency, the agent reduces manual work, allowing teams to focus on governance, validation, and building AI-ready data at scale.
Unlike single-task-focused AI copilots, the Data Steward Agent applies agentic AI to cover the full scope of a data steward's responsibilities, rather than automating isolated parts. The agent monitors changes in the data environment and automates tasks within data cataloging, including: writing and updating asset documentation as data pipelines evolve; assigning ownership to orphaned assets and flagging gaps in documentation and ownership; recommending classifications covering PII (Personally Identifiable Information), sensitivity levels, and domains; creating and maintaining enterprise-level glossary definitions and business terms; and proactively identifying policy alignment issues before downstream consumers encounter problems. Leveraging natural language processing, the Data Steward Agent bases its recommendations on lineage, usage patterns, and existing catalog context, improving accuracy. Outputs are aligned with existing data products and contracts in the platform to ensure consistency and compatibility. Data stewards review and approve recommendations, focusing effort on validation rather than creation to maintain control. Guillaume Bodet, Chief Product Officer at Actian, stated that as enterprises deploy interconnected AI agents across workflows, manually maintaining semantic consistency becomes operationally impossible. The Data Steward Agent continuously aligns metadata, business definitions, lineage, and governance context, enabling AI systems to operate based on a shared understanding of enterprise data.
The Data Steward Agent is now available as part of the Actian Data Intelligence Platform, which provides AI semantic understanding, lineage, quality metrics, business context, and conversational analytics. The agent's capabilities include: automating metadata documentation, enrichment, classification, and governance at enterprise scale, and maintaining the semantic layer queried by all AI agents for consistent, trustworthy outputs. Key capabilities encompass asset documentation, ownership assignment, PII and sensitivity classification, business glossary management, policy alignment, MCP server integration, and A2A protocol support. The target audience includes data stewards, data engineers, data analysts, and enterprise data and AI leaders.
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