Development

Integrations & APIs

Make your systems exchange data reliably, with interfaces that are monitored, documented and designed for the days when the other side is down.

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Integration architecture diagram showing several business systems exchanging data

Integration is mostly about failure

Any competent developer can move a record from one system to another when everything is working. The engineering is in what happens when it is not: the other system is down for maintenance, a message arrives twice, a record references something that was deleted, a file is half written when you read it. Integrations that only handle the happy path work perfectly in testing and fail quietly in production, usually in a way nobody notices for a fortnight. By then the two systems disagree and reconciling them is manual work.

How we build them

Idempotent by default, so processing the same message twice does not create two orders. Retry with exponential backoff, so a brief outage resolves itself rather than raising an incident. A dead letter queue for what cannot be processed, so nothing is silently dropped. And observability throughout: every exchange logged with enough context that the question "what happened to this order on Tuesday" is answered in minutes. That is not overhead, it is the difference between an integration you trust and one you wonder about.

Documented and transferable

You get interface documentation: endpoints, payload structures, authentication, error codes, retry behaviour and what each field means. Not because documentation is virtuous, but because without it the integration is only maintainable by whoever wrote it. That matters commercially. An undocumented integration is a dependency on a supplier rather than an asset you own, and the cost of that shows up the first time you want to change something and the only path runs through us. We would rather keep your business on merit.

What you get

Safe to process twice

Idempotent by default, so a duplicate message does not create a duplicate order. This is not the default elsewhere.

Retries and dead letters

Brief outages resolve themselves; what genuinely cannot be processed is held, not silently dropped.

Traceable end to end

Every exchange logged with context, so "what happened to this order" is a two-minute question.

Properly authenticated

OAuth 2.0 and scoped tokens, not a shared password in a config file or an unauthenticated endpoint.

Documentation you keep

Endpoints, payloads, errors and field meanings, so the integration is an asset rather than a dependency on us.

Any system, any protocol

REST, SOAP, files, FTP, database links and message queues. Old systems included, because they usually are.

Technologies

REST APIsOAuth 2.0Azure Logic AppsAzure FunctionsWebhooksJSONXMLSFTPMessage QueuesBusiness Central APIs

Frequently asked questions

One of our systems is old and has no API. Can it still be integrated?

Usually yes. Older systems typically offer file exports, a database we can read, or a scheduled report. It is less elegant than a modern API but entirely workable, and it is a common reality rather than an exception.

Do we need an integration platform?

For two or three interfaces, generally not: direct integrations are simpler and cheaper. Once you have many systems exchanging data, a platform such as Azure Logic Apps or a message broker starts earning its cost in visibility and consistency. We will tell you which side of that line you are on.

Can you take over integrations somebody else built?

Yes, and this is common. We start by documenting what it actually does, which is frequently the first time that exists. Then we can stabilise it where it is or rebuild it, and we will be straightforward about which is cheaper.

Make your systems agree with each other

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Have a question or want to discuss a project? We'd love to hear from you. Get in touch and we'll respond as soon as possible.

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Location

Serbia

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