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Actian Introduces Data Steward Agent to Ensure Semantic Consistency in AI Workflows

On June 3, 2026, Actian, a division of HCLSoftware specializing in data and AI, launched the Actian Data Steward Agent, a new AI component embedded within the Actian Data Intelligence Platform. This innovative agent aims to continuously uphold semantic consistency across various enterprise AI systems and internal workflows, as well as connected tools and third-party AI agents.

The Data Steward Agent automates tedious tasks regarding documentation, metadata enrichment, and governance. This automation accelerates the process of deriving value from data while significantly minimizing the manual effort required to maintain AI-ready datasets. According to research from Gartner, a majority of data and analytics leaders do not fully utilize metadata, with 51% of organizations still relying on passive metadata practices, thereby limiting business value generation. This gap often leads to bottlenecks, as metadata management and cataloging fell primarily to data stewards, who typically dedicate only 5%-10% of their time to governance tasks.

As companies increasingly integrate multiple AI agents into their workflows, maintaining metadata consistency has become critical to the foundational support of each agent. The Data Steward Agent operates directly within cataloging workflows, ensuring that metadata is updated continually as data environments evolve.

Utilizing advanced features within the Actian Data Intelligence Platform, the agent leverages a federated knowledge graph and structured data products to establish a shared business context among internal capabilities and external AI agents. This symbiotic relationship facilitates seamless operation across the board, utilizing connections made through the Model Context Protocol (MCP) and agent-to-agent (A2A) integrations. By identifying gaps, recommending updates, and ensuring consistency, the agent alleviates the burden of manual labor, allowing teams to focus more on governance, validation, and the creation of large-scale AI-prepared data.

How the Data Steward Agent Automated Metadata Management Works

Unlike AI copilots that target singular tasks, the Data Steward Agent applies agent AI across the entire scope of a data steward's role. Key functionalities include:

• - Documentation Creation and Updates: Automatically drafts and refreshes documentation for data assets as data flows evolve.
• - Asset Ownership Assignment: Identifies and assigns ownership of orphaned assets, pinpointing deficiencies in documentation and property claims.
• - Classification Recommendations: Suggests categorizations, including Personally Identifiable Information (PII), confidentiality levels, and domains.
• - Glossary and Business Terminology Management: Establishes and sustains definitions for glossaries and business terms throughout the organization.
• - Policy Alignment Detection: Spots potential policy alignment issues before they affect end users.

Ensuring Accurate and Governance-Ready Suggestions

By harnessing natural language processing, the Data Steward Agent offers recommendations based on data origins, usage patterns, and the existing catalog context, fostering a higher degree of accuracy. Recommendations align with current data products and contracts within the platform, ensuring consistency and compatibility.

Data stewards are involved in reviewing and approving these suggestions, concentrating on validation over creation to maintain governance controls. Guillaume Bodet, the Product Director at Actian, stated, “As companies implement interconnected AI agents in their workflows, it becomes operationally impossible to maintain semantic consistency manually. The Data Steward Agent continually aligns metadata, business definitions, origins, and governance context, allowing AI systems to function with a unified understanding of enterprise data.”

The Data Steward Agent is currently available within the Actian Data Intelligence Platform, which equips businesses with semantic understanding, lineage tracking, quality indicators, contextual insights, and conversational analytics. For further insights, readers can explore the blog titled “Data Steward Agent: The Missing Layer Between AI and Context” or visit Actian’s official site.

Quick Reference: Actian Data Steward Agent

• - Product: Actian Data Steward Agent
• - Platform: Actian Data Intelligence Platform
• - Purpose: Automates documentation, enrichment, classification, and governance of metadata at scale while maintaining the semantic layer consulted by AI agents for consistent and reliable outcomes.
• - Key Features: Asset documentation, ownership assignment, PII and confidentiality classification, enterprise glossary management, policy alignment, MCP server integration, A2A protocol compatibility.
• - Target Audience: Data administrators, data engineers, data analysts, business data leaders, and AI practitioners.
• - Availability: Now available on the Actian Data Intelligence Platform.
• - More Info: Actian Data Intelligence Platform.

About Actian

Actian empowers businesses to manage and govern data at scale with confidence. Actian’s data intelligence and management solutions streamline complex data environments and accelerate the delivery of AI-ready data. Designed for flexibility, Actian solutions flawlessly integrate and perform reliably across on-premises, cloud, and hybrid environments. To learn more about Actian, the data and AI division of HCLSoftware, visit actian.com.