AI-Assisted Schema Mapping
AI-assisted schema mapping helps you connect source and target data schemas faster by automatically suggesting which source fields correspond to which target fields, reducing the manual effort of building field-by-field mappings.
What this capability does
When you are building an integration that moves or transforms data between two systems, you typically need to define how each field in the source schema maps to a field in the target schema. This process can be time-consuming when schemas are large or when the field names differ across systems.
The AI-assisted mapping capability analyzes your source and target schemas and produces a set of suggested field pairings, rather than requiring you to construct every pairing from scratch.
How suggestions are generated
The AI engine compares source and target fields using several complementary strategies:
| Strategy | What it does |
|---|---|
| Word and phrase similarity | Matches fields whose names or descriptions share similar words or sentences |
| Synonym recognition | Identifies fields that describe the same concept using different words |
| Abbreviation matching | Connects fields where one name is an abbreviated form of the other |
| Fuzzy matching | Catches near-matches where names are close but not identical |
When your schema includes field descriptions, the AI prioritizes those descriptions to determine the best match. When descriptions are not available, it works from the field names alone. Fields that cannot be confidently matched are left unmapped so you can handle them manually.
What you provide
To receive mapping suggestions, you supply the source schema fields and the target schema fields. Optionally, you can also provide field descriptions for the source and target, which improve the quality of the suggestions when field names alone are ambiguous or abbreviated.
Reviewing and applying suggestions
The platform returns a set of suggestions, each pairing a target field with its recommended source field.
Where this fits in your integration workflow
AI-assisted mapping is part of the broader process of building integrations in Adeptia. The AI suggestions accelerate the schema mapping step, which is especially valuable when:
- Source and target systems use different naming conventions for the same data
- Schemas are large and manual mapping would take significant time
- You are working with schemas from external partners whose field names differ from your internal standards