GraphQL API AI Integration
GraphQL lets you ask for exactly the fields you need in one query, but that only works cleanly when the schema on the other side actually matches yours
Why It Matters
A field called deliveryWindow on one side might be split across two fields on the other, or simply not exist. AI resolution works out the correct correspondence where one exists, and reports clearly where it does not, instead of returning an empty or default value silently.
External GraphQL APIs evolve their schemas over time, adding, renaming or deprecating fields. The integration detects these changes and updates its resolution logic, so a routine schema update on the other side does not turn into an emergency fix on yours.
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.
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.
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.
Queries against an external schema resolved into your ERP's own field structure.
Ongoing monitoring for changes in either schema, with resolution logic updated.
A flexible GraphQL interface exposed over your existing ERP data where useful.
Fields with no clear correspondence reported clearly instead of defaulted.
A record of queries run and their resolution outcomes, for debugging and audit.
Writing data back through GraphQL mutations where the external service supports it.
We review your ERP's data structure and the external GraphQL schema together.
We identify which fields correspond, which need transformation, and which do not exist.
We build the AI-assisted resolution logic that sits between the two schemas.
We test against the queries your systems actually need to run before going live.
We monitor for schema changes and update resolution logic as either side evolves.
Field resolution across mismatched schemas
To schema changes over time
Reporting on what could not resolve
Queries, not fixed endpoints
Query and resolution history
Emergency fixes after a schema update
We build ERP systems, so resolved fields map correctly into your actual structure.
Unresolvable fields are reported clearly, never quietly defaulted or guessed.
Schema changes are detected and resolution logic is updated, not left to break.
Every query and its resolution outcome is recorded for debugging and audit.
We choose the approach that fits your data and hosting rules, with no lock-in.
It is a custom-built connection between your ERP and an external GraphQL API, with AI resolving fields between the two schemas when they do not line up exactly, so you can query or supply exactly the data you need without a rigid one-to-one mapping.
GraphQL lets a client request exactly the fields it needs in a single query, but the schema on the other side rarely matches your ERP's own field names or nesting exactly. This integration handles that schema translation, whereas REST integration works with fixed endpoints and payload shapes.
Yes. Where useful, we can expose a GraphQL interface over your ERP's own data, so external systems or internal tools can query it flexibly instead of relying on a fixed set of REST endpoints.
It is returned as unresolved with a clear reason, rather than filled with a default or a guess, so anyone consuming the query result knows exactly what could and could not be answered.
Yes, schema changes on either side are detected and the resolution logic is updated, so the integration adapts rather than breaking the moment either schema evolves.
A first working integration usually takes five to seven weeks, depending on how complex the two schemas are and how much resolution logic is needed between them.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical look at your schema mismatch.
