Data Migration
Data Migration & Cloud Modernization
Compress your cloud migration from quarters to weeks. AI agents validate every row while our consultants manage the strategy.
Typical Timeline
8–10 weeks
Team Size
2–4 specialists + AI
Speed vs Traditional
3–5x faster
Data Loss
Zero tolerance
The Challenge
The challenge
Your legacy systems were built for a different era. They're expensive to maintain, difficult to integrate with modern tools, and impossible to scale. Every month you delay modernization, you fall further behind competitors who've already moved to the cloud.
But migration is terrifying. You've heard the horror stories: 18-month timelines that stretch to 3 years. Data quality issues discovered too late. Regulatory gaps that only surface in production. And the sheer volume — billions of rows that need to move without losing a single record.
Traditional consulting firms throw bodies at this problem. More people means more coordination overhead, more communication gaps, and ironically, more risk. There's a better way.
Our Approach
How we solve this differently
AI-Powered Discovery
Our agents profile your entire data landscape in hours, not weeks. Every table, column, dependency, and data quality issue — surfaced before the project even starts.
Automated Code Generation
AI agents generate 80–90% of migration code, including ORM conversions and stored procedure translations. Human-reviewed, machine-generated.
100% Data Validation
Not sample-based. Every single row, validated against the source. Across billions of records, with automated reconciliation reporting.
Continuous Testing
Regression testing runs automatically throughout the migration, not just at the end. Issues are caught and resolved in real time.
Post-Migration Optimization
AI agents monitor performance after go-live, optimize configurations, and identify cost savings. The project doesn't end at deployment.
AI-Powered
What our AI agents handle
Profile 100% of source schemas, dependencies, and data quality issues in under 48 hours
Generate migration code for table structures, stored procedures, views, and ORM mappings
Validate data integrity across billions of rows — every record, every column, every transformation
Run automated regression testing continuously throughout the migration
Detect and flag edge cases that require human judgment
Auto-generate comprehensive documentation, data dictionaries, and runbooks
Timeline
Typical project timeline
Traditional Approach
Discovery
Planning
Development
Testing
Deployment
Stabilization
Agilityx + AI Agents
Discovery
Planning
Build + Test
Deploy + Optimize
Outcomes
What you can expect
3–5x
Faster migration timelines
Compared to traditional consulting approaches
0
Data loss across all migrations
Every row validated, not sampled
80–90%
AI-generated code
Reducing manual effort and human error
60%
Lower total cost
Smaller team + AI agents vs. large manual teams
Ready to modernize your data platform? Let's talk.
Book a 30-minute discovery call and we'll show you exactly how the Build With model applies to your situation.