TLDR: Reltio has unveiled AgentFlow, a new suite of AI-powered agents designed to enhance data governance and streamline business operations. Built on the Reltio Data Cloud, AgentFlow aims to provide secure, personalized, and context-driven automation, accelerating time-to-value for enterprises by leveraging trusted, unified data for agentic AI initiatives.
Redwood Shores, CA – August 5, 2025 – Reltio, a leader in data unification and management, today announced the launch of AgentFlow, a groundbreaking suite of agents engineered to transform data governance and business operations through intelligent automation. This new offering is poised to make agentic AI more accessible and valuable across the enterprise, providing secure, personalized, and role-based experiences tailored for various users, from data stewards to business analysts.
AgentFlow agents are designed to deliver proactive recommendations, support a wide range of large language models (LLMs), and offer conversational interfaces, extending intelligent automation to diverse teams wherever and however they work. The suite is built upon the robust foundation of the Reltio Data Cloud, ensuring the scale necessary for global operations and the data precision critical for automating complex, high-stakes workflows.
Industry leaders have quickly recognized the potential of Reltio AgentFlow. Mike Powers, Principal and Global Master Data Management (MDM) Practice Lead at ZS, a global management consulting and technology firm, stated, “Our customers need actionable AI solutions, not just suggestions. Reltio AgentFlow provides context-driven autonomous agents that integrate seamlessly into existing business workflows, accelerating time-to-value.” Diptesh Singh at Cognizant added, “Reltio AgentFlow is a compelling offering for enterprises that need to scale data governance and business workflows securely.”
The core strength of AgentFlow lies in its ability to inherit enterprise-grade security, real-time governance policies, and rich, contextual data directly from Reltio’s platform. This ensures that all automated actions are accurate, auditable, and perfectly aligned with business intent. As the agentic data fabric for the enterprise, the Reltio Data Cloud continues to power real-time data intelligence, crucial for successful AI transformation with trusted data across all domains.
Satish Byravan, Global Head, Data and Analytics Practice at TCS, emphasized the broader impact: “Enterprises are navigating an increasingly complex digital landscape and require both specialized capabilities and trusted, unified data. Agentic AI platforms can be a powerful compass. Reltio’s AgentFlow platform is adept at understanding the business context and delivering secure, governed automation across data-intensive workflows. It not only automates tasks, but also adapts, unlocking new levels of efficiency, personalization, and innovation across industries.”
The introduction of AgentFlow is a natural evolution of Reltio’s commitment to fueling the next generation of enterprise AI. Earlier this year, Reltio announced the general availability of its AgentFlow Model Context Protocol (MCP) Server, a fully managed service that provides secure, governed, and role-aware access to trusted data for AI agents and orchestration tools. This MCP Server acts as an open-standard API gateway, simplifying integration by eliminating the need for custom connectors and enabling LLM-powered agents (such as those from Claude, Bedrock, or Vertex) to connect directly with Reltio’s trusted data. This capability significantly reduces data-related agentic AI risks and accelerates time to value by laying the foundation for true automation at scale.
Also Read:
- Drata Unveils Advanced AI Agent to Revolutionize Vendor Risk Management
- Skypoint Unveils AI-Powered Agentic Apps to Enhance Healthcare Efficiency and Capacity
Ultimately, AgentFlow promises rapid, measurable return on investment for AI initiatives, including accelerated time-to-launch, reduced operational costs, and mitigated regulatory risk exposure, by grounding AI in trusted, up-to-date data.


