QA Agent

Automate Every QA Task in Your Migration- With AI Agents

Modular agents purpose-built for reconciliation, validation, and synthetic data generation — no code required.

Integrations

Features

What are Datachecks AI Agents?

Modular, reusable AI components that automate specific QA tasks during data migration.
Each agent is powered by LLMs and schema intelligence.

Understand your metadata, mappings, and data context

Agents are schema-aware and context-driven, so they adapt instantly to your environment.

Auto-generate validation, reconciliation, or data generation logic

No SQL or scripts; agents build the logic automatically.

Run tests or comparisons at scale

Designed to process billions of rows with distributed execution.

Output audit-ready, human-readable results

Every result is fully traceable, reproducible, and regulator-friendly.
Why Use AI Agents

Purpose-Built Agents for Every QA Challenge

Modular, reusable AI components that cut effort, accelerate delivery, and bring auditability by design.
Features
Beneffits
Built-in, adaptive AI
Modular Agent Design
Manual input required
Specialized for reconciliation, validation, or synthesis
Built-in, adaptive AI
LLM-powered Logic Inference
Manual input required
No SQL, no scripting required
Built-in, adaptive AI
Runs in your environment
Manual input required
SOC 2-ready, VPC-deployable
Built-in, adaptive AI
Test and fix faster
Manual input required
30–50% reduction in QA cycles
Built-in, adaptive AI
Reusable & Composable
Manual input required
Run agents across clients or environments
Built-in, adaptive AI
Fully auditable
Manual input required
Traceable logs and re-runs
Features
Benefits
Modular Agent Design
Specialized for reconciliation, validation, or synthesis
LLM-powered Logic Inference
No SQL, no scripting required
Runs in your environment
SOC 2-ready, VPC-deployable
Test and fix faster
30–50% reduction in QA cycles
Reusable & Composable
Run agents across clients or environments
Fully auditable
Traceable logs and re-runs
How It Works

From Plain English to Automated QA

Choose an Agent.

Step 1

Connect your sources.

Step 2

Describe your QA goal in plain English.

Step 3

Agent auto-generates logic & runs validation.

Step 4

Review results, diff summaries, logs.

Step 5

Example: Check transaction_amount and customer_id for mismatches across Oracle and Snowflake.
How It Works

End-to-End QA, Without the Manual Overhead

Connect

Plug into your source and target systems—whether databases, data lakes, or custom queries.
Plug & Play

Extract

Automatically capture schemas, lineage, filters, and business rules used in the migration.
Auto Discovery

Extract

Automatically capture schemas, lineage, filters, and business rules used in the migration.
Auto Discovery

Generate & Run

Let the agent generate test cases, validations, and synthetic data—all tailored to your migration context.
Smart Validation

Report & Reconcile

View granular results across PKs, rows, and columns. Drill down to mismatches, export audit-ready reports, and close the loop faster.
Audit-Ready
Use Cases

Where QA Agents Deliver the Most Impact

Perfect for teams facing data sensitivity, complex logic, or scaled delivery pressures — when traditional testing simply can’t keep up.

Data Migration QA automation

Validate billions of records seamlessly during migration projects.

QA-as-a-Service for SIs

Scalable QA capabilities that partners can deploy across client projects.

CI/CD Data Test Pipelines

Embed automated data checks directly into your DevOps workflows.

Legacy System Modernization QA

Ensure data integrity when upgrading or retiring legacy platforms.

Regulatory Or Audit-Proof Validation

Deliver traceable, compliance-ready QA with zero extra overhead.
Security & Compliance

Secure by Default, Compatible by Design

Enterprise-grade deployment options with wide ecosystem coverage.

VPC-deployable agents

Run securely inside your own cloud or on-premises environment, no data leaves your boundary.

SOC 2-ready architecture

Built with industry-standard security controls for enterprise compliance.

Broad Platform Support

Works seamlessly across Snowflake, SAP HANA, BigQuery, Oracle, Redshift, CSV, and more.
Proven Impact

Results You Can Measure

Proven acceleration, reduced effort, and audit-ready quality at scale.

4

5

9

2

3

6

2

7

6

5

0

6

4

3

7

8

3

7

4

5

%

Faster Timelines

Deliver migrations 30–50% quicker by automating repetitive QA tasks.

4

5

9

2

3

6

2

7

6

8

0

6

4

3

7

8

3

7

4

5

%

Reduced Effort

Cut manual QA workload by 80%, freeing teams to focus on higher-value work.

4

5

9

2

3

6

2

7

6

1

0

6

4

3

7

8

3

7

4

5

4

5

9

2

3

6

2

7

6

0

%

6

4

3

7

8

3

7

4

5

Audit Ready Quality

Every check is reproducible, traceable, and regulator-friendly.
Ideal For

Built for Teams Driving Complex Data Change

Validate every migration milestone, reduce QA effort, and deliver data your business can trust.
Roles
Data Engineering Teams, System Integrators, Migration PMOs, Internal Audit / Data Governance
Projects
Snowflake, BigQuery, Databricks migrations, Mainframe or Oracle legacy shutdown, Large-scale ERP/CRM modernization, Data lake replatforming

5

3

8

9

5

7

4

6

2

9

0

2

4

3

4

6

7

2

3

4

%

Efficiency Boost

Clients report a 90% reduction in manual QA effort and up to 3x faster migration validation cycles after switching to Datachecks.

Let the Agent Handle the Hardest Part of Migration

Book A Demo
Book A Demo