Reltio AgentFlow: Unlocking the Power of Agentic AI for Trusted, Real-Time Enterprise Data

\In the era of intelligent automation, enterprises are striving to make data-driven decisions faster and more confidently. Yet, connecting AI systems directly to production-grade, governed data remains a major challenge. Reltio AgentFlowemerges as a transformative innovation — an agentic AI platform that securely connects autonomous agents to trusted enterprise data, unlocking real-time business value while ensuring compliance and governance.

Built on the foundation of Reltio’s Model Context Protocol (MCP) Server and the Reltio Data Cloud, AgentFlow empowers enterprises to automate key data stewardship tasks, enhance decision-making, and reduce compliance risk — all through AI agents that operate safely within organizational guardrails. Leading Reltio partners such as Apptad are helping enterprises deploy and operationalize AgentFlow to accelerate their AI transformation journeys.

What Is Reltio AgentFlow?

Reltio AgentFlow is a next-generation agentic AI platform designed to bring conversational, autonomous intelligence to enterprise data management. It extends the Reltio Data Cloud’s real-time data foundation with intelligent agents capable of handling complex data operations such as:

• Data exploration
• Match resolution
• Enrichment and anomaly detection
• Data validation and governance automation

What makes AgentFlow unique is its secure, context-aware connection between AI and live enterprise data. It ensures that agents can operate only within the boundaries of compliance policies, data masking rules, and RBAC permissions — making AI adoption safe, auditable, and enterprise-ready.

Key Features and Capabilities

1. Autonomous Data Agents

AgentFlow provides a suite of purpose-built agents, including:

• Data Explorer Agent (read-only) for data discovery and insights
• Match Resolver Agent for deduplication, survivorship, and record consolidation

These agents work directly with production data under strict governance controls, featuring role-based access, data masking, and comprehensive audit logging for every interaction.

2. Plug-and-Play AI Connectivity

AgentFlow is designed for openness and extensibility. It supports standardized protocols like MCP and Agent2Agent (A2A) to connect with popular LLM platforms (OpenAI, Google Cloud, Anthropic) and agent frameworks such as LangChain and CrewAI.
This plug-and-play design allows organizations to quickly deploy AI agents and integrate them into existing digital ecosystems.

3. Conversational Workflows

Through a natural-language interface, business and technical users alike can interact with their data conversationally. Data stewards can resolve duplicates, data architects can explore entities, and business teams can query hierarchies — all without deep technical knowledge or SQL expertise.

4. Enterprise-Grade Security and Compliance

Every AgentFlow deployment operates within a governed infrastructure, adhering to enterprise security, privacy, and regulatory frameworks. It ensures AI systems respect data lineage, governance policies, and auditability — bridging the gap between innovation and compliance.

Enterprise Use Cases

Leading enterprises are already exploring how Reltio AgentFlow transforms traditional data management into autonomous, AI-driven workflows. Common use cases include:

Match Resolution

Automate duplicate detection, survivorship, and entity merging to maintain a golden record across domains such as customer, supplier, or product data.

Hierarchy and Relationship Management

Manage multi-level organizational hierarchies and relationships dynamically — without manual intervention or spreadsheet-based tracking.

Data Governance and Quality

Detect anomalies, validate data against governance policies, and automatically correct or flag records for review — ensuring continuous data quality.

Business Operations Automation

Enable AI-driven data enrichment, personalized recommendations, and support case resolution through autonomous conversational agents.

Early adopters like Radisson Hotel Group and Eaton Corporation are already leveraging AgentFlow to simplify complex data workflows, reduce human intervention, and enhance the accuracy and reliability of enterprise data operations.

Strategic implementation partners such as Apptad play a crucial role in helping organizations design, configure, and deploy AgentFlow agents. With deep expertise in Reltio MDM, Customer 360, Product 360, and AI-driven data governance, Apptad accelerates adoption by aligning agentic automation with each organization’s unique data landscape and business goals.

Benefits for Enterprises

1. Accelerated AI ROI

By integrating directly with governed, production data, enterprises can shorten the time-to-value for AI initiatives, moving from pilot to production in weeks instead of months.

2. Operational Efficiency

AgentFlow automates repetitive, manual data tasks — freeing up data stewards and analysts to focus on strategic initiatives that drive business growth.

3. Trusted and Compliant AI Decisions

AI agents built on governed, real-time data deliver consistent, auditable, and regulation-ready outputs, ensuring trust in AI-assisted decisions.

4. Flexibility and Scalability

AgentFlow supports multi-cloud environments, custom agent development, and integration with existing AI ecosystems — enabling global scale and adaptability across business functions.

Getting Started with Reltio AgentFlow

Enterprises looking to adopt agentic AI through Reltio can follow a structured approach:

1. Assess High-Value Use Cases – Identify repetitive or time-consuming data stewardship and governance tasks suitable for agentic automation.
2. Engage Reltio Partners Like Apptad – Collaborate with trusted partners to configure, customize, and deploy the right agents for your business needs. Apptad’s deep domain knowledge ensures seamless alignment between AI automation and data governance frameworks.
3. Enable Secure Data Access – Connect AI agents to the Reltio Data Cloud for real-time, compliant data interaction.
4. Monitor and Optimize – Continuously refine agent performance and expand coverage across domains and workflows.

Conclusion: The Future of Intelligent Data Management

Reltio AgentFlow marks a paradigm shift in enterprise data management — where autonomous AI agents and trusted data ecosystems converge to create a new era of intelligent operations.
By combining governance, security, and automation under one unified framework, AgentFlow empowers organizations to scale AI responsibly, enhance productivity, and unlock new business value from their most trusted asset — data.

With experienced partners like Apptad, enterprises can confidently embark on their journey toward agentic, AI-powered data management, driving measurable outcomes in efficiency, compliance, and innovation.
As the boundaries between AI and data continue to dissolve, Reltio AgentFlow stands as the catalyst for a smarter, faster, and more connected enterprise future.