How Settle works

An autonomous, multi-agent workflow that handles the full migration lifecycle — from schema profiling to production-ready load files.

01

Schema understanding

Settle's agents scan your source systems and learn tables, keys, relationships, and business meaning. Entities and dependencies are mapped automatically. Duplicates and anomalies are flagged before mapping begins.

Settle schema overview showing source and target system schemas side by side
02

Auto-mapping & transformation

Settle proposes and refines field-level mappings into your target model. Mapping specs are generated automatically with confidence scores. Ambiguous mappings are surfaced for human review — the AI never acts without visibility.

Settle mapping review with AI-generated field mappings and confidence scores
03

Cleansing & standardization

Cleansing becomes a reusable layer instead of one-off scripts. Address normalization, picklist alignment, deduplication, merge logic, and referential integrity fixes are applied systematically across every load cycle.

Settle transform editor with AI-suggested transformations and live data preview
04

Generated ETL & loaders

Settle outputs production-ready SQL, Python, or API-based loaders. Run them in your environment or Settle's runtime. Parameterize for dev, test, and prod with full audit trails.

Settle migration center showing production-ready output files and migration status
05

Validation, reconciliation & delta

Multi-agent validation ensures safe loads and smooth deltas. Constraint issues, data drift, and schema changes are detected before they break downstream. Each load cycle feeds back into the next — making every iteration faster and safer.

Settle validation dashboard with migration readiness score and AI-suggested fixes

Ready to see it in action?

Connect your schema and get your first mapping in under an hour.