AI Agent–led data assurance service that validates migrated datasets with reconciliation, integrity checks, lineage verification, audit-ready reports, and real-time alerts across ETL/DWH/BI
PDI AssureAgent is an AI Agent for data assurance that autonomously validates migrated datasets—continuously checking accuracy, consistency, and lineage as data moves from legacy to modern platforms.
AssureAgent uses LLMs, retrieval over metadata (RAG), and policy guardrails to generate validation tests, detect drift, explain issues, and close the loop with human-in-the-loop approvals.
What AssureAgent does • Automated Data Reconciliation: Compares source and target datasets for completeness (row counts, aggregates, key distributions) and highlights discrepancies. • Integrity Checks: Detects mismatches in data values, schema structures, missing/duplicate records, and transformation anomalies. • Lineage & Traceability: Verifies dependency and lineage consistency across pipelines, warehouses, and BI layers to support trustworthy reporting. • Audit-Ready Reports: Produces compliance-oriented validation evidence and reconciliation summaries suitable for governance and audit review. • Real-Time Alerts: Notifies stakeholders of validation failures and drift, enabling faster resolution and reduced business disruption.
Where it applies AssureAgent is designed for ETL/ELT pipelines, data warehouses, and BI/reporting migrations, including large-scale reconciliation scenarios. Typical legacy sources include PowerCenter, DataStage, SSIS/SSAS, Oracle/Teradata/SAP BW, and similar platforms, with modern targets including Azure data services, Databricks, Snowflake, and Informatica IDMC (as selected by the customer).
Deliverables (typical)
Delivery & exclusions Delivered virtually/remote. This offer focuses on validation and assurance; production cutover execution and managed operations are excluded unless explicitly included in the Private Offer / SOW.