AI-Test Automation

Your Always-On Data QA Engineer

Convert metadata, lineage, and business rules into automated test cases — without writing a single line of code.
Key Capabilities

Smarter Tests, Less Manual Work

Turn your metadata and business logic into automated, always-on tests — Catch issues early, cut QA cycles, and ship trusted data faster.

Rule Extraction From Metadata

Automatically parse schema definitions, constraints, dbt models, and ETL metadata to generate validation logic.

Business Logic Test Generation

Convert business rules (e.g. “Net Premium = Gross – Discount”) into assertion tests across migrated data.

Continuous Validation Across Pipelines

Integrate into Airflow, dbt, CI/CD tools — so tests run continuously as data moves or changes.

Anomaly Detection & Learning

When issues are found, the system suggests additional tests and edge cases based on patterns.

Why Datachecks Is Better
Than Manual QA?

From Manual Spot Checks to Autonomous QA at Scale
Feature / Platform
Datachecks AI Test Automation
Manual QA
Test Coverage
100% row-level & rule-based
Limited, sample-based
Effort Required
Zero (agent-generated)
High (SQL, Excel)
Speed
Real-time / Continuous
Slow, hours/days
Maintenance
Self-healing, metadata-aware
Brittle, breaks often
What Datachecks Can

Validate Every Critical Data Logic

From schema to business rules, joins to reconciliations — Datachecks ensures every transformation, rule, and data flow is tested, traceable, and migration-ready.

Field-Level Transformations

Verify every transformation and field mapping stays correct after migration.

Logic & Aggregations

Test joins, unions, and group-bys to ensure business logic translates perfectly.

Critical Business Rules

Validate financial formulas and operational logic with automated assertions.

Schema Stability

Detect schema drift early and prevent breakages downstream.

Record-by-Record Match

Run row-level reconciliation with clear, explainable differences.

End-to-End Lineage Check

Ensure source-to-target completeness with lineage-aware validations.
Reduce QA Effort
Deliver Audit-Ready Proof
Catch Breakages Early
How It Works

From Metadata to Meaningful Tests. Instantly.

Ingest

Connect to your source and target systems — pull in schemas, business rules, and transformation logic automatically.
Ingest

Generate

Create intelligent, context-aware validation plans in minutes — no manual scripting needed.
Auto Generate

Run

Seamlessly execute tests during pipeline runs or dry runs, catching issues before they escalate.
Run

Report

Get clear, explainable reports with root cause insights and full traceability — ready for internal teams and client reviews.
Report
Proven Impact

Real Results From Real Teams

More coverage, faster sign-offs, and audit-ready compliance—proven across high-stakes migration programs.

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Lightning Fast Coverage

Tests auto-generated in under 30 minutes

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Silent Bugs, Caught Early

Caught 4 silent transformation bugs pre-cutover

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Massive QA Time Savings

Reduced QA effort by 85% for a multi-country data lake migration
Ideal For

Built for Real-World Migrations

Whether lift-and-shift or phased cutovers—validate faster, de-risk production, and win stakeholder trust.

Cloud Migration

Teams migrating to Snowflake, BigQuery, Databricks

Data Modernization

Enterprises modernizing from legacy ETL tools

SIs

SI teams needing scalable QA for large engagements

Audit-Purposes

Audit-heavy environments requiring evidence of validation
AI Test Automation

Focus on Migration. Let AI handle the QA

Move faster and safer with full test coverage, zero manual effort and real time validation.
Book a demo