GraphQL API AI Integration

Query Exactly What You Need, Resolved Across Two Schemas

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, which it almost never does exactly. We build GraphQL integrations with AI resolving fields between mismatched schemas, so a query against an external service maps correctly into your ERP's own structure.

50+ ERP and software projects. Zero failed projects since 2021.

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Order Query Resolution

Illustrative

query { order(id: "10482") { customerName totalValue deliveryWindow } }

customerNameResolved directly

totalValueResolved, currency converted

deliveryWindowFlagged, no matching field

Figures are illustrative

Field

Level resolution, not guesswork

Any

GraphQL-powered external service

5-7 wk

To a first working integration

Flagged

Unresolved fields, never defaulted

Why It Matters

Two schemas rarely describe the same thing the same way

GraphQL's flexibility on the client side does not remove the mismatch between what two systems call the same piece of data.

Schema Translation Done Properly

One schema's field becomes another's, correctly

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.

Field correspondence resolved across mismatched schemas.
Unresolvable fields reported clearly, not defaulted.
Nested and renamed structures handled without a rigid map.

Adapts as Schemas Evolve

A schema change should not mean a broken integration

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.

Schema changes on either side detected automatically.
Resolution logic updated rather than breaking outright.
Deprecated fields flagged before they cause a failure.

A schema evolving over time being tracked

The Query

What a resolved query looks like

A query written against one schema, resolved field by field into your ERP's own structure.

Product Availability Query

Illustrative

query { product(sku: "SKU-2210") { name stockLevel warehouseRegion } }

nameResolved directly

stockLevelResolved, summed across warehouses

warehouseRegionResolved from location code

Figures are illustrative

How It Works

From two schemas to one resolved query layer

Study both schemas

We review your ERP's data structure and the external GraphQL schema together.

Map the correspondence

We identify which fields correspond, which need transformation, and which do not exist.

Build the resolution layer

We build the AI-assisted resolution logic that sits between the two schemas.

Test with real queries

We test against the queries your systems actually need to run before going live.

Go live and monitor

We monitor for schema changes and update resolution logic as either side evolves.

What It Handles

What a GraphQL integration typically covers

Any external service exposing a GraphQL schema that your ERP needs to query or supply.

🔍

Cross-schema queries

Queries against an external schema resolved into your ERP's own field structure.

🔄

Schema change detection

Ongoing monitoring for changes in either schema, with resolution logic updated.

📡

GraphQL layer over your ERP

A flexible GraphQL interface exposed over your existing ERP data where useful.

⚠

Unresolved field flagging

Fields with no clear correspondence reported clearly instead of defaulted.

📋

Query logging

A record of queries run and their resolution outcomes, for debugging and audit.

🔄

Mutation support

Writing data back through GraphQL mutations where the external service supports it.

What Changes

What a resolved GraphQL integration changes

Accurate

Field resolution across mismatched schemas

Resilient

To schema changes over time

Clear

Reporting on what could not resolve

Flexible

Queries, not fixed endpoints

Traceable

Query and resolution history

Fewer

Emergency fixes after a schema update

Why Us

Why teams choose TCB Infotech for GraphQL integration

We know the ERP side too

We build ERP systems, so resolved fields map correctly into your actual structure.

Resolution, not assumption

Unresolvable fields are reported clearly, never quietly defaulted or guessed.

Built to adapt

Schema changes are detected and resolution logic is updated, not left to break.

Full query logging

Every query and its resolution outcome is recorded for debugging and audit.

Model-agnostic build

We choose the approach that fits your data and hosting rules, with no lock-in.

Proven delivery

50+ projects across industries, with zero failed projects since 2021.

FAQ

GraphQL API AI integration questions

What is GraphQL API AI integration?

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.

How is this different from REST API integration?

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.

Can you build a GraphQL layer over our own ERP?

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.

What happens when a field cannot be resolved?

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.

Do you handle schema changes over time?

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.

How long does a first integration take?

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.

In Short

Flexible queries still need an honest translation underneath

GraphQL solves the problem of asking for exactly what you need in one request. It does not solve the separate problem of two systems describing the same thing with different names, structures and assumptions.

Resolving that translation with AI, and reporting clearly when a field genuinely cannot be resolved, is what makes a GraphQL integration something your ERP can actually rely on, not just query against.

Connect Your ERP to a GraphQL Service, Correctly

Book a free consultation. Share the schema you need to connect to, and we will scope what resolution would involve.

Book a Free Consultation →

No commitment. A practical look at your schema mismatch.