● AvailableData Quality
Survivorship Intelligence Agent
Intelligent golden record selection that learns from your stewardship decisions
About this agent
The Survivorship Intelligence Agent goes beyond static survivorship rules. It analyzes historical stewardship override decisions, source system reliability scores, and attribute-level confidence metrics to dynamically select the best attribute values for each golden record. Over time, it learns which sources are most reliable for which attributes in your specific data environment.
Use cases
Dynamic attribute-level survivorship using ML-derived source reliability scores
Learning from historical steward override decisions to improve future selections
Detecting survivorship conflicts and flagging for steward review
Generating source system reliability reports by domain and attribute
Monitoring golden record quality drift and triggering re-survivorship
Features
ML-based source reliability scoring per attribute and domain
Historical steward decision learning and model updates
Attribute-level confidence calculation and conflict detection
Full survivorship decision audit trail with reasoning explanations
Configurable learning rate and override thresholds
Integration with Reltio's native survivorship configuration
Tech stack
PythonReltio APIVertex AIBigQueryCloud Functions
Deploy this agent
We implement and configure this agent in your Reltio environment. Typical deployment: 2–4 weeks.
Get started →Our approachOther agents
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