AI & AgentFlow

Cut stewardship queue volume 60–80% with intelligent automation

Typical duration
8–14 weeks
Best fit
Organizations drowning in stewardship exceptions or scaling data volumes faster than headcount
Deliverables
6 included
Engagement
Fixed scope

Overview

Your data stewards shouldn't spend their days on decisions a machine can make with 95% confidence. We implement Reltio AgentFlow to auto-resolve routine exceptions, intelligently route complex cases, and trigger enrichment exactly when records need it. The result: stewards focus on judgment calls, not triage. Typical deployments reduce manual queue work by 60–80% within 90 days.

What's included

Stewardship workflow analysis and automation candidacy mapping
AgentFlow architecture, agent build, and confidence threshold tuning
Integration with existing stewardship queues and escalation paths
Auto-resolution accuracy validation against production exceptions
Monitoring dashboards and performance alerting
Team training and operational documentation

Automation designed around your actual stewardship workflows

AgentFlow implementations that don't account for real-world stewardship patterns often automate the wrong things — or automate the right things at the wrong confidence threshold. We design every deployment around your actual exception patterns, escalation paths, and business rules.

Every AgentFlow engagement begins with a stewardship workflow analysis that identifies exactly which exception types are automation candidates, at what confidence levels, and with what escalation logic. The result is an agent that works in your environment from day one.

Engagement details

Typical duration
8–14 weeks
Best for
Organizations drowning in stewardship exceptions or scaling data volumes faster than headcount