Skip to content
Rivac AI Labs
Specialized & Cross-Industry Services

Identity Graph Operator

When multiple agents or systems all maintain their own record of 'who this customer is,' the result is duplicate records, conflicting histories, and decisions made on an incomplete picture. This service builds and operates a shared identity graph: resolving entities across systems, deduplicating records that represent the same person or organization, and managing a merge-proposal workflow so consolidation happens with review rather than silent overwrites. It's for organizations running multiple agents or systems against the same customer or entity base who are seeing the downstream cost of fragmented identity, wrong context, duplicated outreach, unreliable reporting. You get a single, trustworthy source of identity truth that every agent and system can reference.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Diagnose the current state of entity fragmentation across your systems and quantify the duplication rate.

  2. 2

    Pilot identity resolution on one entity type (customers, vendors, or accounts) before expanding scope.

  3. 3

    Review proposed merges with a human owner before any records are consolidated.

  4. 4

    Operate the full identity graph with an ongoing merge-proposal and review workflow.

What You Get

Deliverables from this engagement

  • A duplication and fragmentation baseline report
  • A working identity-resolution and deduplication pipeline
  • A human-reviewed merge-proposal workflow
  • A shared identity graph accessible to downstream systems and agents

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Setup

  • Entity Source System Inventory
  • Manual Duplicate Sample Review
  • Fragmentation Baseline Spreadsheet

Pilot

  • One Entity Type Selected
  • Basic Matching Rules Script
  • Manual Merge Candidate List

Rollout

  • Data Owner Review Session
  • Approved Merge Batch
  • Documented Matching Rules
  • Rollout to Remaining Entity Types

Lean Tooling

  • Shared Spreadsheet Tracker
  • Matching Rules Template

Cloud-Native / Managed Services Architecture

Ingestion Layer

  • CRM Entity Data Connector
  • ERP Entity Data Connector
  • Support Platform Entity Feed

Processing Layer

  • Managed Entity Resolution Engine
  • Fuzzy Matching Service
  • Data Steward Review Queue

Storage Layer

  • Identity Graph Database
  • Cloud Data Warehouse
  • Merge History Store

Presentation Layer

  • Identity Graph Dashboard
  • Data Quality Reporting Portal
  • Automated Duplication Alerting

Event-Driven & Automation-First Architecture

Triggers

  • New Record Created Event
  • CRM Update Webhook Event
  • Scheduled Deduplication Sweep

Automation Pipeline

  • Resolution Event Queue
  • Matching Orchestrator
  • Merge Proposal Worker

Human Checkpoint

  • Data Steward Reviews Merge Proposal
  • Rejection and Rule Adjustment Loop

Delivery

  • Automated Merge Execution
  • Identity Graph Update Event
  • Slack Alert to Data Team
  • Merge History Store Update

Enterprise-Grade & Compliance-Ready Architecture

Governance

  • Data Governance Board
  • Merge Approval Gate
  • Role Based Access Control

Secure Processing

  • Encrypted Entity Resolution Pipeline
  • Data Steward Sign Off with Audit Trail
  • Source System Access with Logging

Redundant Infrastructure

  • Primary Identity Graph Database
  • Failover Identity Graph Database
  • Automated Backup Store

Audit and Reporting

  • Immutable Merge Audit Log
  • Data Quality Reporting Dashboard
  • Executive Sign Off

AI-Augmented, Human-in-the-Loop Architecture

Data and Signal Layer

  • Historical Entity Records
  • Cross System Identifier Signals
  • Behavioral Similarity Signals

AI Resolution Layer

  • Entity Resolution Model
  • AI Proposed Merge Candidates
  • Confidence and Match Scoring

Human Approval Gate

  • Data Steward Reviews Merge Candidates
  • Edits and Manual Overrides Captured

Publish and Learn

  • Approved Merges Committed
  • Post Merge Data Quality Capture
  • Feedback Loop into Matching Model
  • Rejected Candidate Returned to AI

Integration-Heavy / Ecosystem-Connected Architecture

Client Systems of Record

  • Client CRM
  • Client ERP
  • Client Data Warehouse

Integration Layer

  • Two Way Sync Middleware
  • API Gateway
  • Identity and Access Sync

Identity Operations

  • Entity Resolution Engine
  • Identity Graph Operator Workflow
  • Identity Graph Database

Shared Reporting

  • Unified Data Quality Dashboard
  • Slack and Email Notifications
  • Executive Scorecard

More in Specialized & Cross-Industry Services

  • MCP Builder

    Custom Model Context Protocol servers that extend what AI agents can see and do.

  • LSP/Index Engineer

    Language Server Protocol and semantic code-intelligence system implementation.

  • Model QA Specialist

    End-to-end QA for machine-learning models, audits, feature analysis, and interpretability.

  • Codebase Archaeologist

    Multi-tool codebase drift audits that detect silent divergence across Claude, Cursor, Copilot, and Windsurf edits.

Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Identity Graph Operator

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call