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

Agent Workflowmigration_agent

No Overruns. No Data Loss. Every Migration Ships on Time.

Cloud migration automation for AWS, Azure, ERP, and data warehouse workloads. Automated validation. HITL-controlled cutover.

Budget overruns in enterprise migrations average 45% over initial estimates. The migration_agent agentic workflow locks scope upfront through automated dependency discovery, then executes with stage-gated validation and mandatory human approval at every cutover gate, so your CFO signs off on a number that holds.

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70%Faster migration timelines

ZeroData loss: validated at every stage

90%Reduction in QA manual test effort

The Problem

Manual migrations fail in predictable ways. Every time.

Dependencies

Hidden Dependencies Kill Migrations Mid-Flight

Manual assessments miss 30–40% of integration points; each discovery post-cutover adds weeks of rework to a project already over budget.
Re-sequencing a partially migrated workload requires rollback and re-planning; rework costs average 20–30% of total project budget.
Every delayed go-live month means continued legacy support and maintenance spend the migration was meant to eliminate.

Data Quality

Data Drift Discovered After Go-Live

Data corruption in production triggers mandatory incident response; recovery timelines average 6–8 weeks and halt business operations.
Compliance mandates (SOX, GDPR, HIPAA) require provable data integrity; reconciliation without an audit trail exposes the organization to regulatory penalty.
For ERP systems, every hour of post-migration downtime carries a measurable business impact in the hundreds of thousands of dollars.

Testing

Manual Test Suite Creation Takes Weeks

3–5 weeks of QA analyst time per migration wave adds $300K–$500K to a typical ERP engagement before a single line of application code moves.
Production defects cost 10× more to fix than pre-migration test gaps; inconsistent coverage under deadline pressure makes this outcome likely.
Without automated coverage proof, go-live certification is blocked: a hard dependency that delays value realization and extends the engagement.

Purpose-Built AI Agents. One Migration That Ships.

Built by the lowtouch.ai team. Each AI agent owns one stage of the migration lifecycle, replacing weeks of manual work with automated, auditable execution.

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.

License cost elimination from day one

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.

Legacy analytics licensing replaced in weeks

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%Reduction in QA manual test effort

100%Rollback available at every migration stage

Compress 18-Month Programs to 5 Months

The labor cost of a migration team running 13 extra months compounds fast. Every dependency discovery cycle, test-writing sprint, and manual validation run that the agent handles is capital redirected to your next modernization initiative.

70% faster timelines vs. manual process; parallel execution eliminates sequential bottlenecks
Dependency-safe sequencing prevents the re-work cycles that inflate manual project timelines

Migration Risk Quantified and Bounded at Every Stage

Board-level risk is the primary reason migrations stall. Every stage has a pre-built rollback path and a mandatory HITL approval gate, so engineers can execute with confidence and executives can report with precision.

100% rollback available at every stage boundary; no stranded-state recovery scenarios
HITL go/no-go gates require explicit engineer approval before any traffic switches

Redirect Your Best Engineers to Architecture, Not Grunt Work

Automated discovery, test generation, and validation removes months of manual engineering labor. Senior architects spend their time on modernization decisions, not writing test cases or reconciling row counts.

90% fewer manual test cases written; coverage derived from source schema, not QA availability
Freed capacity redirects to the modernization roadmap instead of migration maintenance

Integrated with Your Migration Toolchain

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

Azure Migrate

Application portfolio assessment

AWS Migration Hub

Centralized migration tracking

CAST Highlight

Modernization intelligence

AWS DMS

Live database replication to AWS

Azure Database Migration Service

Managed migration to Azure SQL

Oracle GoldenGate

Near-zero-downtime replication

Snowflake

Target cloud data platform

Microsoft Fabric

Unified analytics and data engineering

Databricks

Data and AI platform modernization

Amazon Redshift

Cloud data warehouse

Azure Data Factory

Cloud ETL and data pipelines

AWS Glue

Serverless ETL and data catalog

dbt

Data transformation and testing

AWS MGN

Lift-and-shift application migration

Azure Site Recovery

VM replication and cutover orchestration

Terraform

Infrastructure-as-code for target environments

Azure DevOps / GitHub Actions

CI/CD pipeline automation

ServiceNow

Change management and cutover approvals

Entra ID / Azure AD

Identity for migrated workloads

Private Infra

Air-gapped, zero data egress

Frequently Asked Questions

Common questions about AI-powered cloud migration automation.

How does AI automate cloud migration?

The migration_agent agentic workflow uses six specialized subagents built by the lowtouch.ai team. A Discovery Agent maps all application dependencies and integration points automatically. A Data Profiling Agent analyzes source schema and data quality. A Test Generation Agent creates regression suites from the profiled source with no manual test writing. A Migration Orchestrator executes in parallel stages. A Validation Agent compares checksums and row counts at source and target. A Cutover Agent manages the final switch with HITL go/no-go gates requiring explicit engineer approval. Each stage is auditable and fully reversible.

What is HITL cutover in enterprise migration?

Human-in-the-Loop (HITL) cutover means engineers must give explicit go/no-go approval before production traffic switches to the migrated environment. In the migration_agent workflow, HITL controls are implemented through commit reviews and pull request approvals: the Cutover Agent presents a validated state summary and waits for named engineer sign-off. No traffic switches without that explicit approval. Full rollback remains available at every stage, so the engineer approving cutover has a tested exit path if issues surface post-switch.

How do you avoid data loss during cloud migration?

The migration_agent runs a three-layer validation approach. The Data Profiling Agent establishes a validated baseline at source before any data moves. The Validation Agent then compares row counts, checksums, and schema definitions between source and target at every stage boundary. Any drift detected automatically halts the migration and triggers rollback rather than proceeding with corrupt data. The HITL cutover gate requires engineers to review the final validation report before traffic switches.

How long does enterprise cloud migration take with AI automation?

Without automation, enterprise cloud migration programs typically run 12 to 18 months, with budget overruns averaging 45% above initial estimates. The migration_agent agentic workflow compresses timelines by 70% through parallel execution: dependency discovery, data profiling, and test generation run concurrently rather than sequentially. An 18-month manual program can complete in 5 months. The largest time savings come from automated test suite generation, which eliminates 3 to 5 weeks of QA analyst work per migration wave.

Which cloud platforms does the Migration Agent support?

The migration_agent integrates with Azure Migrate and AWS Migration Hub for portfolio assessment; AWS DMS and Azure Database Migration Service for live database replication; Oracle GoldenGate for near-zero-downtime replication; Snowflake, Databricks, Amazon Redshift, and Microsoft Fabric as target data platforms; Azure Data Factory and AWS Glue for ETL; dbt for data transformation and testing; AWS MGN and Azure Site Recovery for VM migration; Terraform for infrastructure-as-code; ServiceNow for change management and cutover approvals; and Entra ID for identity. Air-gapped private infrastructure deployments are also supported.

See how enterprises deploy agents like this in productionRead real-world customer results →