PDI AssureAgent

 

How it Works

Use Cases for PDI AssureAgent

The PDI AssureAgent is an AI agent that autonomously validates migrated datasets—continuously checking accuracy, consistency, and lineage as data moves from legacy to modern platforms. Powered by LLMs, RAG over metadata, and policy guardrails, AssureAgent orchestrates self-service, autonomous test generation and closed-loop remediation across your pipelines, warehouses, and BI layers.

How it Works - visual selection (1)

PDI AssureAgent

Key Features

  • Automated Data Reconciliation: Compares source and target environments for completeness. 
  • Integrity Checks: Detects discrepancies in data values, schema structures, and missing records. 

  • Audit-Ready Reports: Generates compliance-ready validation reports. 

  • Real-Time Alerts: Notifies stakeholders of validation errors.

Benefits

  • Data Accuracy & Consistency: Ensures high data accuracy and consistency post-migration. 
  • Automated Validation: Reduces manual effort in validation and reconciliation. 
  • Regulatory Compliance: Helps meet regulatory compliance requirements. 

  • Disruption Minimization: Minimizes business disruptions caused by incorrect data migrations. 
PDI AssureAgent
3386851-Jan-07-2022-07-38-46-74-PM

 

How it Works

Use Cases for PDI AssureAgent

PDI AssureAgent is an autonomous AI Agent for data assurance. It continuously validates migrated datasets across legacy and modern platforms, detects drift, and explains issues—closing the loop with human-in-the-loop approvals. Built for ETL/ELT pipelines, data warehouses, and BI, it delivers trustworthy, production-grade accuracy at scale.

Sample Use Case 1: ETL Validation Use Case

Scenario: Ensuring Data Accuracy During ETL Migration

Business Challenge:

A global insurance company migrating its ETL pipelines from Informatica PowerCenter to AWS Glue faced challenges in validating data transformations, ensuring completeness, and detecting anomalies in the new system. 

Solution with PDI AssureAgent:

  • Automated Data Comparison: Automates comparison between source and target datasets to detect inconsistencies. 
  • Transformation Integrity Checks: Performs transformation integrity checks, ensuring ETL logic has not altered the data.

  • Real-Time Validation Alerts: Generates real-time validation alerts for missing or duplicate records. 

Benefits:

  • Minimize Validation - 30% reduction in validation efforts through automation. 

  • Data Integration - Ensures data integrity during ETL migration, preventing errors. 
     
  • Faster Deployment - Accelerates go-live readiness by identifying and resolving discrepancies early. 

ETL Validation

Sample Use Case 2: Data Warehouse Integrity Use Case 

Scenario: Verifying Data Consistency During Cloud Data Warehouse Migration 

Business Challenge:

A healthcare provider transitioning from an on-premises Oracle Data Warehouse to Google BigQuery needed to validate billions of records across complex schemas while maintaining regulatory compliance. 

Solution with PDI AssureAgent: 

  • Schema Alignment: Performs schema comparison between the legacy and cloud environments.

  • Data Quality Validation: Validates large-scale data sets for completeness, duplication, and format accuracy.

  • Compliance Reporting: Generates compliance-ready reports ensuring adherence to HIPAA and GDPR regulations. 

Benefits:

  • Faster Validation: 50% faster validation with AI-powered reconciliation. 
  • Audit-Ready Compliance: Regulatory compliance ensured with audit-ready validation reports. 
  • Proactive Disruption Mitigation: Minimal business disruption by proactively resolving discrepancies before production deployment. 
Data Warehouse Integrity

Sample Use Case 3: BI Report Accuracy Use Case 

Scenario: Maintaining Data Consistency in BI Report Migration 

Business Challenge:

A retail company migrating from SAP BusinessObjects to Power BI needed to ensure reports reflected the same KPIs, calculations, and data integrity as in the legacy system. 

Solution with PDI AssureAgent: 

  • Cross-Platform Comparison: Compares BI reports across platforms, validating aggregation logic and business metrics.

  • Integrity Issue Detection:  Identifies missing, mismatched, or altered report values that could impact decision-making.

  • Automated Workflows: Automates validation workflows, reducing reliance on manual data checks. 

Benefits:

  • Faster Validation: 40% reduction in report validation time, ensuring consistency across BI platforms.

  • Enhanced Analytics Trust: Improved trust in analytics, reducing discrepancies in decision-making dashboards.

  • Real-Time Transition: Seamless BI transition with real-time validation alerts and reconciliation tools. 
PDI AssureAgent