Actian Launches Agentic Data Steward to Help Maintain Semantic Consistency Across Enterprise AI Systems 03.06.2026, 15:05 Uhr von EQS News Jetzt kommentieren: 0

New AI agent embedded in the Actian Data Intelligence Platform continuously maintains semantic consistency for internal workflows, MCP-connected tools, and third-party AI agents

ROUND ROCK, Texas, June 3, 2026 /PRNewswire/ -- Actian, the data and AI division of HCLSoftware, today announced the Actian Data Steward Agent, a new AI agent embedded in the Actian Data Intelligence Platform to deliver a governed semantic layer and enable shared business context for enterprise AI systems, internal workflows, MCP-connected tools, and third-party AI agents. The agent automates the time-consuming work of metadata documentation, enrichment, and governance, accelerating time to value and reducing the manual effort required to build and maintain AI-ready data foundations.

According to Gartner®, "most data and analytics (D&A) leaders still fail to leverage metadata effectively, as 51% of organizations still rely on passive metadata practices, limiting their ability to unlock business value."¹ Maintaining and cataloging metadata falls almost entirely on data stewards, creating a bottleneck. Gartner also reports that "these stewards often have only a small fraction of their time — typically 5% to 10% — allocated to governance tasks, including cataloging."²

As enterprises deploy more AI agents across workflows, consistent metadata becomes the foundation every agent depends on. The Data Steward Agent is embedded directly in catalog workflows, continuously updating metadata as data environments evolve.

The agent is grounded in the Actian Data Intelligence Platform's federated knowledge graph, semantic layer, data products, and data contracts. It enables both internal platform capabilities and external AI agents, including third-party systems connected via Model Context Protocol (MCP) and agent-to-agent (A2A) integrations, to operate within the same governed business context. By continuously identifying gaps, suggesting updates, and enforcing consistency, the agent reduces manual work so teams can focus on governance, validation, and building AI-ready data at scale.

How the Data Steward Agent Automates Metadata Management

Unlike AI copilots that focus on individual tasks, the Data Steward Agent applies agentic AI to cover the full scope of the data steward role, rather than automating isolated parts of it. The agent monitors the data landscape as it evolves and automates across the data catalog:

• Writes and updates asset documentation as data pipelines evolve.
• Assigns ownership to orphaned assets and flags gaps in documentation and ownership.
• Recommends classifications including PII, sensitivity level, and domain.
• Creates and maintains enterprise-wide glossary definitions and business terms.
• Surfaces policy alignment issues before they reach downstream consumers.

Why Data Steward Agent Suggestions Are Accurate and Governance-Ready

Using natural language processing, the Data Steward Agent grounds suggestions in lineage, usage patterns, and existing catalog context for improved accuracy. Outputs are aligned with existing data products and contracts in the platform to enable consistency and compatibility. Data stewards review and approve suggestions, focusing their effort on validation rather than creation to keep controls in place.

"As enterprises deploy interconnected AI agents across workflows, maintaining semantic consistency manually becomes operationally impossible," said Guillaume Bodet, chief product officer of Actian. "The Data Steward Agent continuously aligns metadata, business definitions, lineage, and governance context so AI systems can operate from a shared understanding of enterprise data."

The Data Steward Agent is available now as part of the Actian Data Intelligence Platform, which provides AI semantic understanding, lineage, quality indicators, business context, and conversational analytics. For more information, read the "Data Steward Agent: The Missing Layer Between AI and Context" blog or visit https://www.actian.com/data-intelligence/platform/.

Quick Reference: Actian Data Steward Agent

• Product: Actian Data Steward Agent
• Platform: Actian Data Intelligence Platform
• What it does: Automates metadata documentation, enrichment, classification, and governance at enterprise scale and maintains the semantic layer all AI agents query for consistent, trusted outputs
• Key capabilities: Asset documentation, ownership assignment, PII and sensitivity classification, business glossary management, policy alignment, MCP server integration, A2A protocol support
• Who it is for: Data stewards, data engineers, data analysts, enterprise data and AI leaders
• Availability: Available now in the Actian Data Intelligence Platform
• More information: https://www.actian.com/data-intelligence/platform/

About Actian

Actian empowers enterprises to confidently manage and govern data at scale. Actian data management and data intelligence solutions help streamline complex data environments and accelerate the delivery of AI-ready data. Designed to be flexible, Actian solutions integrate seamlessly and perform reliably across on-premises, cloud, and hybrid environments. Learn more about Actian, the data and AI division of HCLSoftware, at actian.com.

Media Contacts:
Jennifer Harbour
PR Consultant
Jennifer.Harbour@actian.com 

Danielle Lee
Vice President – Global Analyst Relations & Public Relations
Danielle.Lee@actian.com 

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