Adaptive & Intelligent Migration
AIM uses agentic AI to discover, transform, migrate and reconcile enterprise data, from legacy sources to your target platform.
Product walkthrough
A simplified run-through of the AIM workflow, step by step.
AIMMigration run
Illustrative demo
01Automated discovery
Agents scan Oracle, SQL Server and mainframe sources for schemas, dependencies and business rules.
02Intelligent transformation
Source fields are mapped and reshaped for the target platform, with type conversions and lookups.
03Agentic orchestration
Records are migrated and validated; one exception is held and routed to a human reviewer, who approves the fix.
04Continuous learning
The reviewer’s decision becomes a reusable rule, fed back to discovery for the next run.
05Reconciled
Every record reconciles with the source and every step is written to the audit trail.
The problem
Migration and integration programs spend months reverse-engineering source schemas and business rules, hand-building ETL, and reconciling exceptions manually — slowing modernization and adding risk at cutover.
Our approach
AIM's agents take on the discovery, mapping and reconciliation work teams usually hand-code, while people stay in charge of the risky moments: exceptions are routed to human checkpoints, rollback plans are in place, and every extraction, transformation and validation is logged for a full audit trail.
Capabilities
Analyze source systems, schemas, dependencies, and business rules automatically.
Eliminate complex ETL development through AI-driven transformation workflows.
Coordinate migration, validation, exception handling, and reconciliation activities.
Improve migration accuracy and speed through reusable knowledge and feedback loops.
Bring a source schema and a target platform. We'll show you AIM mapping fields, holding exceptions for human review and reconciling every record.