What Is Inside the GraphQL API AI Integration
Resolving two schemas that were never designed to match takes more than a lookup table. Here is how the comparison, resolution and change detection work together.
From two independent schemas to one reliable resolution
Understanding both sides before resolving anything
Before any query runs, the two schemas are compared field by field, type by type, to build an initial map of what corresponds to what. This upfront comparison is what makes later resolution fast and accurate rather than guessed at query time.
- Both schemas compared field by field upfront.
- Types and structures reconciled before live queries run.
- An explicit map maintained, not resolved from scratch each time.
Each field resolved on its own terms
A field might need a straight rename, a currency conversion, a unit conversion, or a calculation combining two source fields. Each field's resolution logic is built individually for what it actually needs, rather than forcing every field through the same generic transformation.
- Resolution logic tailored to each field's specific need.
- Calculations and conversions handled where required.
- No forced generic transformation across all fields.
Watching both schemas so nothing breaks quietly
The integration periodically checks both schemas for changes, such as a new field, a renamed one or a deprecation notice, and flags anything that affects the existing resolution map before it causes a failed query in production.
- Both schemas monitored for changes over time.
- Affected resolutions flagged proactively.
- Deprecations caught before they cause a failure.
Everything the GraphQL integration includes
Mutation support
Writing data back through GraphQL mutations, with the same field resolution applied.
Query and resolution logs
A record of every query run and how each field was resolved, for debugging.
GraphQL layer over your ERP
A flexible query interface exposed over your own ERP data where useful.
Resolution confidence flags
Each resolved field marked by confidence, so uncertain ones can be reviewed.
Schema diff reports
A clear summary of what changed between schema versions and its impact.
Model-agnostic build
Built so the underlying resolution approach can be upgraded without a rebuild.
See What Resolving Your Schemas Would Take
Book a free consultation. Share both schemas, and we will give you an honest assessment of the resolution needed.
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