AgentFlow
Reltio AgentFlow is an agentic AI platform launched in August 2025 by Reltio, headquartered in Redwood Shores, CA.
Publisher review
Reltio AgentFlow is an agentic AI platform launched in August 2025 by Reltio, headquartered in Redwood Shores, CA. It delivers purpose-built, autonomous agents for data governance and business operations, targeting enterprises that struggle with siloed systems, manual workflows, and AI initiatives stalled by poor data quality. Built on the Reltio Data Cloud, AgentFlow provides real-time governance policies, data precision, and enterprise-grade security, making it suitable for data stewards, business analysts, and IT teams who need trusted, governed data for high-stakes automation.
The platform includes prebuilt agents such as the Data Explorer Agent (read-only for data discovery), Match Resolver Agent (for deduplication and record consolidation), Address Enricher, Product Recommender, and more, all designed to reduce manual work and speed decision-making. AgentFlow supports a range of large language models (LLMs) including OpenAI, Google Cloud, and Anthropic, and integrates with agent frameworks like LangChain and CrewAI via standardized protocols MCP and Agent2Agent (A2A). It features conversational workflows for natural language interaction, role-based access, data masking, and comprehensive audit logging.
Early adopters include Radisson Hotel Group and Eaton Corporation, with partners Cognizant, ZS, and TCS supporting deployments. AgentFlow competes with data management and governance platforms such as Chord, Osmos, Ataccama, Omnisient, Syncari, and Datahub, but differentiates by embedding agents directly within a governed data cloud rather than offering generic copilots. However, its tight coupling with Reltio Data Cloud means organizations not already using Reltio may face migration costs and vendor lock-in.
Pricing is not publicly disclosed, and the platform's reliance on Reltio's ecosystem limits flexibility for teams wanting to use alternative data fabrics. Additionally, while prebuilt agents cover common tasks, custom agent development may require deep Reltio expertise, and the platform's enterprise focus may overwhelm smaller teams with simpler needs.
How it works
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Prebuilt autonomous agents
Includes Data Explorer, Match Resolver, Address Enricher, and Product Recommender agents for specific data governance and business tasks.
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Real-time governance policies
Agents inherit security, data masking, and audit logging from Reltio Data Cloud, ensuring actions are compliant and auditable.
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Plug-and-play AI connectivity
Supports MCP and Agent2Agent (A2A) protocols to connect with OpenAI, Google Cloud, Anthropic, LangChain, and CrewAI.
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Conversational workflows
Natural-language interface allows users to resolve duplicates, explore entities, and query hierarchies without SQL expertise.
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Role-based access control
Provides secure, personalized experiences for data stewards, business analysts, and other roles with granular permissions.
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Enterprise-grade security
Includes role-based access, data masking, and comprehensive audit logging for every agent interaction.
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Automated foundational workflows
Automates entity resolution, queue task distribution, address enrichment, product recommendation, and data exploration.
Strengths and trade-offs
Strengths
- Prebuilt agents like Match Resolver and Data Explorer reduce manual data stewardship work, with early adopters like Radisson Hotel Group already deploying them for complex match resolution.
- Built on Reltio Data Cloud, agents inherit real-time governance policies and data precision, ensuring actions are accurate and auditable without additional configuration.
- Supports plug-and-play connectivity with multiple LLMs (OpenAI, Google Cloud, Anthropic) and agent frameworks (LangChain, CrewAI) via MCP and A2A protocols, enabling flexible AI integration.
- Conversational workflows allow non-technical users to interact with data using natural language, eliminating the need for SQL or deep technical knowledge.
Trade-offs
- Pricing is not publicly disclosed, making it difficult for potential buyers to evaluate total cost of ownership without a sales consultation.
- Tight integration with Reltio Data Cloud may create vendor lock-in for organizations not already using Reltio, limiting flexibility to switch data platforms.
- Prebuilt agents cover common tasks, but custom agent development likely requires deep expertise in Reltio's ecosystem, increasing time and cost for unique workflows.
- Enterprise focus on governance and compliance may be overkill for small teams or startups that need simpler, faster deployment without extensive security layers.
Pricing context
Not publicly disclosed; contact Reltio sales for pricing.
Getting started with AgentFlow
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Sign up for AgentFlow
Contact Reltio sales to request access to AgentFlow. Provide your organization details and use case to receive login credentials and onboarding instructions for the Reltio Data Cloud platform.
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Connect your data sources
In the Reltio Data Cloud console, configure connections to your data sources such as CRM, ERP, or data lakes. Use the provided connectors or APIs to ingest data into the governed data cloud.
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Configure governance policies
Set role-based access controls, data masking rules, and audit logging preferences within the Reltio Data Cloud. These policies automatically apply to all agent actions for compliance.
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Deploy a prebuilt agent
Choose a prebuilt agent like the Match Resolver from the AgentFlow catalog. Activate it to start deduplicating and consolidating records using natural language commands or automated workflows.
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Verify agent outputs
Review the audit log and agent-generated reports to confirm actions like record merges or address enrichments are accurate. Adjust governance policies or agent settings as needed for your workflows.
Frequently Asked Questions
What is Reltio AgentFlow?
Reltio AgentFlow is an agentic AI platform launched in August 2025 by Reltio. It delivers purpose-built, autonomous agents for data governance and business operations, helping enterprises overcome siloed systems and poor data quality by embedding agents directly within the Reltio Data Cloud.
What prebuilt agents does AgentFlow offer?
AgentFlow includes prebuilt agents such as the Data Explorer Agent for read-only data discovery, Match Resolver Agent for deduplication and record consolidation, Address Enricher, and Product Recommender. These agents reduce manual work and speed decision-making for data stewards and business analysts.
How does AgentFlow ensure data governance and security?
AgentFlow inherits real-time governance policies, role-based access control, data masking, and comprehensive audit logging from the Reltio Data Cloud. Every agent action is compliant and auditable, making it suitable for high-stakes automation in regulated environments.
Which AI models and frameworks does AgentFlow support?
AgentFlow supports plug-and-play connectivity with large language models from OpenAI, Google Cloud, and Anthropic. It also integrates with agent frameworks like LangChain and CrewAI via standardized protocols MCP and Agent2Agent (A2A), enabling flexible AI integration.
What are the main weaknesses of Reltio AgentFlow?
Pricing is not publicly disclosed, requiring a sales consultation. Tight integration with Reltio Data Cloud may cause vendor lock-in for non-Reltio users. Custom agent development needs deep Reltio expertise, and the enterprise focus may overwhelm smaller teams with simpler needs.
How does AgentFlow compare to other data governance platforms?
AgentFlow competes with platforms like Chord, Osmos, Ataccama, and Syncari. It differentiates by embedding agents directly within a governed data cloud rather than offering generic copilots, but its tight coupling with Reltio Data Cloud limits flexibility for teams using alternative data fabrics.
Alternatives
How AgentFlow compares
Direct head-to-head against 2 competitors. Picked by 7wData.
AgentFlow
- Pricing
- Not publicly disclosed; contact Reltio sales for pricing.
- Target
- Reltio AgentFlow is an agentic AI platform launched in August 2025 by Reltio, headquartered in Redwood Shores, CA.
- Strength
- Prebuilt agents like Match Resolver and Data Explorer reduce manual data stewardship work, with early adopters like Radisson Hotel Group already deploying them for complex match resolution.
- Watch for
- Pricing is not publicly disclosed, making it difficult for potential buyers to evaluate total cost of ownership without a sales consultation.
AutoGen
- Pricing
- Open-source
- Target
- Research teams
- Deployment
- Python-based
- Strength
- Multi-agent conversation orchestration
- Watch for
- Steep learning curve
CrewAI
- Pricing
- Open-source
- Target
- Content creation teams
- Deployment
- Python-based
- Strength
- Role-based agent collaboration
- Watch for
- Limited enterprise features
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Sources
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