Resolver
Learn about what the Resolver Agent does and when to use it.
The Resolver Agent is your intelligent assistant for identifying, comparing, enriching, and resolving potential duplicate entities across your Reltio tenant.
It guides you through side-by-side comparisons and supports evidence-based decisions while maintaining a complete audit trail.
Who is it for?
Data Steward
Reltio Configurator
System Administrator
For more information, see About roles.
Why would I use it?
Use the Resolver Agent to improve data accuracy by identifying and resolving duplicate records.
It helps you confirm, reject, or revisit entity matches while optionally enriching the data to support confident decisions.
When and where would I use it?
Use this agent after a match job, during data clean-up efforts, or when reviewing match accuracy.
The Resolver agent runs in AgentFlow and communicates securely through the MCP Server.
How does it support business goals?
It reduces duplication, enhances governance, and ensures reliable master data through guided resolution and transparent audit logging.
Core capabilities
- Entity search and retrieval
- Discover and filter potential matches by entity type, rule, confidence, or score
- Compare entities side by side with visual indicators for matches, conflicts, and missing data
- Enrich entity data using public sources before resolution (with user confirmation)
- Execute merge, reject, or unmerge actions with full audit traceability
- Explain tenant match rules, model structure, and merge history
- Guide users through the resolution process with next-step suggestions
Inputs and outputs
Inputs | Outputs |
---|---|
Entity Type – Specify the entity type to review, such as Individual or Organization. Match Rule – Filter potential matches using one or more configured match rules. Confidence Level – Choose High, Medium, Low, Strong, or Super strong to narrow results. Match Score – Filter match candidates by a specific score range, such as 50–100. Entity ID – Provide a unique identifier to resolve matches for a specific entity. Resolution Action – Choose to merge, mark as not a match, or unmerge entities. Data Enrichment Request – Optionally request enrichment from public web sources before making decisions. Audit Feedback – Optionally include a reason or comment for each resolution decision. |
Match Summary – Overview of all potential matches across the tenant by entity type and rule. Entity Comparison – Side-by-side view of two entities with match indicators and confidence levels. Enrichment Data – Suggested attribute values with URLs from trusted sources. Merge Action Result – Status confirmation when two entities are successfully merged. Not a Match Action Result – Confirmation when entities are excluded from future match attempts. Unmerge Result – Status of completed unmerge actions. Audit Log – Record of all resolution actions with timestamps and optional feedback. Match Rule Insight – Description of rules triggered for each potential match pair. Tenant Statistics – Aggregated match counts by type, rule, or confidence level. |
Safeguards, permissions, and governance
- Always confirms before executing merge, reject, or unmerge actions
- Optionally supports full automation with audit logging enabled
- Requires authenticated access to MCP Server and Role-based access control (RBAC) permissions
- Maintains an audit trail of all resolution activities and feedback
Limitations and edge cases
- Requires match rules to be preconfigured in the tenant
- Entity comparisons are limited to accessible attributes per user permissions
- Enrichment sources must return at least one consistent result to display