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AI & AgentFlow

Automated stewardship with Reltio AgentFlow

Typical duration
8–14 weeks
Best fit
Organizations with large stewardship queues or high data volumes
Deliverables
6 included
Engagement
Fixed scope

Overview

We implement Reltio AgentFlow to automate your data stewardship workflows — exception resolution, merge decisions, enrichment triggers, and quality actions. Typical implementations reduce manual stewardship queue work by 60–80%, letting your data stewards focus on high-complexity decisions rather than routine triage.

What's included

AgentFlow architecture design and use case mapping
Agent build, configuration, and testing
Integration with existing stewardship workflows
Confidence threshold calibration
Monitoring, alerting, and performance dashboards
Team training and agent documentation

Automation built on real stewardship workflow understanding

AgentFlow implementations that don't account for the full stewardship workflow often automate the wrong things. We design AgentFlow deployments around your actual exception patterns, escalation paths, and business rules — not a generic template.

Our AgentFlow implementations are preceded by a stewardship workflow analysis that identifies exactly which exception types are candidates for automation, at what confidence thresholds, and with what escalation logic. The result is an agent that works in your environment, not just in a demo.

Engagement details

Typical duration
8–14 weeks
Best for
Organizations with large stewardship queues or high data volumes