Agentic AI · Cloud Migration · ISO 27001 · SOC 2 Type 2

Agent Workflowmigration_agent

Migrate with Confidence. Zero Data Loss. 3× Faster. Every Time.

6 subagents. Auto-generated test suites. HITL cutover gates.

The migration_agent agentic workflow orchestrates dependency discovery, data validation, and regression test generation, then manages cutover execution with full rollback capability and mandatory human approval at every go/no-go gate.

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70%Faster migration timelines

ZeroData loss: validated at every stage

90%Fewer manual test cases

The Problem

Manual migrations fail in predictable ways. Every time.

Dependencies

Hidden Dependencies Kill Migrations Mid-Flight

Manual dependency assessments miss 30–40% of integration points on average.
Undiscovered dependencies surface only when a dependent service breaks post-migration.
No tooling to map data lineage across complex multi-system environments.
Integration failures require rollback from a partially migrated state, a high-risk recovery scenario.
Assessment rework adds weeks to already overrun project timelines.

Data Quality

Data Drift Discovered After Go-Live

Source data quality issues hidden in legacy schemas surface only at target load.
Row count mismatches and checksum failures found in production, not testing.
No automated validation means corrupted data reaches end users before detection.
Manual reconciliation after migration failure takes weeks and delays go-live.
Compliance mandates require proof of data integrity that manual processes cannot provide.

Testing

Manual Test Suite Creation Takes Weeks

Writing regression test suites for migrated applications is entirely manual.
Test coverage is inconsistent; critical edge cases missed under deadline pressure.
No automated generation from source schema means high QA headcount cost.
Test maintenance burden grows with every schema change during migration.
Post-migration defects traced to untested paths cost more to fix than prevention.

Six Subagents. One Migration That Ships.

Built by the lowtouch.ai team. Each subagent specializes in one stage of the migration lifecycle.

Discovery Agent

Maps application dependencies, data lineage, and integration points. Surfaces hidden dependencies that manual assessments miss before migration begins.

Data Profiling Agent

Analyzes source data volumes, schema definitions, data quality issues, and drift patterns. Generates a validated baseline before any data moves.

Test Generation Agent

Auto-creates regression test suites and data quality check scripts for migrated applications. Coverage is derived from the profiled source: no manual test writing.

Migration Orchestrator

Executes migration in parallel stages with sequencing controls, downtime window management, and go/no-go validation at each stage boundary.

Validation Agent

Compares row counts, checksums, and schema definitions at source and target. Any data drift detected at this stage halts the migration and triggers rollback.

Cutover Agent

HITL

Manages the final cutover sequence with HITL go/no-go gates. Full rollback is available at every stage; engineers approve before traffic switches.

Every Migration Complexity, Handled

Legacy ERP to Cloud

ERP

Discovery subagent maps all module dependencies and integration points before planning.
Data profiling surfaces quality issues in legacy schema before migration begins.
Regression suites auto-generated for all migrated ERP modules.
Parallel migration stages reduce downtime window to hours, not days.
HITL cutover gate requires explicit engineer approval before production switch.

Zero data loss cutover

On-Premises to Multi-Cloud

Infrastructure

Full dependency map generated before any workload is touched.
Migration sequenced by dependency order; no service migrates before its dependencies.
Data validation confirms integrity across cloud boundaries at every stage.
Network and IAM configurations verified by Validation subagent post-migration.
Rollback available at every stage if validation fails post-cutover.

Dependency-safe lift and shift

Data Warehouse Modernization

Data Platform

Source schema profiled; transformations auto-generated for target platform.
dbt and Great Expectations validation rules auto-created from profiling results.
Row count and checksum validation at source and target before cutover.
Historical data partitioned and loaded in parallel to minimize migration window.
Downstream BI and reporting connections validated before final cutover.

Schema drift caught early

M&A System Integration

M&A

Discovery maps all systems from both entities before consolidation planning.
Data harmonization conflicts identified and flagged for HITL resolution.
Master data deduplication rules generated from profiling both source schemas.
Integration testing suites auto-generated for merged application landscape.
Full audit trail of all data movement satisfies M&A compliance requirements.

Post-merger data consolidation

Enterprise-Grade Platform Capabilities

The migration_agent agentic workflow is built on the full breadth of the lowtouch.ai platform.

Dependency Discovery

Maps application dependencies, data lineage, and integration points automatically. Hidden coupling surfaces before migration begins, not mid-flight.

Data Quality Checks

Generates and runs validation rules at source and target. Row counts, checksums, and schema definitions compared at every stage. Drift surfaces before it becomes an incident.

Regression Test Generation

Auto-creates regression suites for migrated applications from the profiled source schema. Coverage is systematic, not dependent on individual QA availability.

Cutover Orchestration

Manages sequencing, downtime windows, and HITL go/no-go gates. Engineers approve cutover before traffic switches. Full rollback available at every stage.

Rollback Capability

Every migration stage is reversible. If validation fails or issues surface post-cutover, the Migration Agent executes rollback with the same orchestration rigor as the forward migration.

Observability + Audit Trail

Full migration timeline logged: every stage, every validation, every approval. Compliance-ready audit trail from initial dependency scan to final cutover confirmation.

Measurable Impact from the First Migration

70%Faster migration timelines vs manual process

ZeroData loss: automated validation at every stage

90%Fewer manual test cases written

100%Rollback available at every migration stage

Integrated with Your Migration Toolchain

No rip-and-replace. Works with your existing source systems, target platforms, and CI-CD pipelines.

Oracle / SAP

Legacy source systems

Snowflake / Databricks

Target data platforms

AWS / Azure / GCP

Cloud migration targets

Apache Airflow

Workflow orchestration

Git / CI-CD

Test suite management

SNOW / Jira

Cutover approval workflow

GPT-4o / Claude

Dependency analysis

Entra ID / Okta

Agent authentication

dbt / Great Expectations

Data validation

Private Infra

Zero data egress