Our latest community show spotlighted Reltio AgentFlow™, a breakthrough in enterprise AI operations. Led by Sergio Abraham, Principal Product Manager, the session explored how AgentFlow™ automates data governance tasks at scale—without compromising control, trust, or security.
Agentic AI, Grounded in Trusted Data
AgentFlow™ combines large language model (LLM) intelligence with enterprise-grade architecture, enabling autonomous agents to perform tasks like match resolution, data enrichment, and workflow optimization. Built on Reltio’s trusted data foundation and the MCP (Model Context Protocol) Server, AgentFlow™ ensures agents stay aligned with human intent and security protocols.
What’s Inside AgentFlow
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Multiple AI Agents: From Match Resolver to Product Recommendation, each purpose-built agent tackles specific governance and business use cases.
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Custom Instructions: Tailor agent behavior to your domain, data model, and trust requirements.
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Security and Traceability: Every action is authenticated, auditable, and tied to user roles.
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Scalable Operations: Long-running tasks allow agents to resolve thousands of issues—automatically.
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Smart Context Management: AgentFlow takes just enough context from your tenant to keep LLMs accurate and avoid hallucinations.
Whether it's cleaning up match backlogs or enriching millions of records, AgentFlow™ turns manual work into strategic advantage—with AI that’s ready for enterprise.
See AgentFlow™ in Action
Demos showcased how agents autonomously:
Looking Ahead
AgentFlow Essentials and AgentFlow Plus packages will soon be available after GA. The Essentials package includes core agents and the MCP Server; Plus offers access to all agents and a credits-based consumption model. Coming soon: build-your-own agents and expanded marketplace support.
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