REST API AI Integration
A fixed field mapping between two REST APIs works fine until one side changes a field name or sends a value nobody planned for, and then it silently breaks or, worse
Why It Matters
When an external system renames a field or nests it differently, a fixed mapping simply stops working, usually silently. AI-assisted mapping matches fields by what they represent, so it tolerates small structural changes instead of breaking on the first one.
A missing field, a wrong data type or an ambiguous value is easy to let through if the integration is built to just accept whatever arrives. Every payload is checked against your ERP's expected structure, and anything unclear is held for review instead of posted as a guess.
Rather than a rigid path-to-path mapping that breaks on the first structural change, fields are matched by considering their name, position and typical values together, so the mapping tolerates the kind of small drift that real APIs produce over time.
Each payload is checked against expected data types, required fields and sensible value ranges. A missing field, an impossible quantity or a malformed date is caught here, before it has the chance to become a wrong record in your system of truth.
The integration manages the target API's authentication tokens, respects its documented rate limits, and retries failed calls with appropriate backoff, so a temporary network issue or a rate limit does not turn into a lost update.
Data received from an external API, validated and posted into your ERP.
ERP data sent to an external system's API in the format it expects.
Every request checked against expected structure, types and ranges before posting.
API keys, tokens and refresh cycles managed as part of the integration.
Failed calls retried according to the target API's own rate and reliability rules.
A record of every request and response, useful for debugging and audit.
We review the external API's documentation and actual behaviour, including edge cases.
We map the API's fields to your ERP's structure and agree what should trigger a flag.
We build the AI checking and mapping logic that sits between the API and your ERP.
We test against real historical requests and known edge cases before going live.
The integration runs live with a review queue for flagged payloads, refined over time.
Silent integration failures
Bad payloads before they post
To small field changes
Every request and response logged
Diagnosis when something breaks
Handling of rate limits and retries
We build ERP systems, so payloads map correctly into the fields your ERP expects.
Every payload is checked, not just passed through and left to chance.
Ambiguous data is held for review, never posted as a confident assumption.
Meaning-based matching tolerates the kind of drift that breaks a fixed mapping.
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 system's REST API, with an AI layer checking and mapping the data passing through it, so mismatched fields, missing values or unexpected formats are caught before they reach your ERP rather than after.
A fixed field mapping breaks the moment the other system changes a field name or sends an unexpected value. AI handles that variation, matching fields by meaning and flagging anything it cannot confidently resolve, so the integration keeps working through small changes on either side.
Yes, provided the external system exposes a documented or observable REST API. We assess the specific API's authentication, rate limits and data structure before committing to a build.
It is held and flagged with the reason, rather than rejected outright or forced through with a guess. A person can review and correct it, and the correction can inform how future similar payloads are handled.
Yes, the integration is built to handle the target API's authentication method and to respect its rate limits, including retries and backoff where the API requires it.
A first working integration to one external API usually takes four to six weeks, depending on the complexity of the data being exchanged and the API's own documentation quality.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical look at your integration needs.
