Skip to content
Netronsoft
Services

API Integrations

If someone spends every morning copying the same numbers from one system into another, that is not a gap you can live with — it is a job nobody was hired to do.

Every morning somebody exports a file from one system and imports it into another. It takes twenty minutes when nothing has changed, an hour when a column moved, and it does not happen at all on the days that person is away.

Once you start looking, the other symptoms are everywhere. The warehouse posts order numbers into a WhatsApp group because the shop and the stock system do not speak to each other. An accountant retypes invoices that already exist in digital form somewhere else. The payment gateway stopped sending confirmations one Thursday and nobody noticed until Saturday. Two systems both hold the customer's address and they disagree, so staff pick whichever looks newer.

Individually these are small. Together they are a permanent tax on your team's time and a steady source of errors nobody can trace back to a cause.

What we actually do

Mapping what actually moves

Before writing anything we map the data: which system is the source of truth for each piece of information, what has to move where, how often, and what must happen when two systems disagree. That last question is the one usually left unanswered, and it is where most integrations quietly corrupt data six months later.

Checking what is genuinely possible

Then we read the documentation for both sides and tell you what is real. Some systems have clean, well-documented interfaces. Some have partial ones with limits that will bite at your volume. Some vendors offer nothing usable at all, in which case your options are a file-based exchange, a database-level arrangement, or accepting that a person still does it — and we will tell you plainly when scraping a screen is a fragile idea we would advise against, before you pay for it.

Building for the day the other side fails

Every integration eventually meets an expired token, a timeout, a changed field or an outage at the other end. So we build for that: retries with sensible backoff, protection against the same record being processed twice, a queue so nothing is lost while the far side is down, an alert that reaches a person, and a log you can read when someone asks why an order did not appear.

What you get

  • A written data map: sources of truth, what moves where, how conflicts are resolved
  • The integration itself, with credentials stored properly rather than pasted into code
  • Retry, queueing and duplicate protection, tested by deliberately breaking things in a sandbox
  • Alerting that reaches a named person when something stops, instead of silent failure
  • A readable log or dashboard showing what synced, what failed and why
  • Documentation of every endpoint, field mapping and known limitation
  • Source code in your repository, and a handover session for whoever maintains it

Why Netronsoft

We test the failure cases, not just the happy path. Anyone can demonstrate an integration working on a good day; the value is in what it does when the other system returns an error at two in the morning.

We will tell you when automation is not worth it. If ten records move once a week and a person handles it in five minutes, an integration that has to be maintained forever is the more expensive option, and we would rather say so.

Credentials are handled properly — stored in a secrets manager, scoped to the minimum needed, rotatable without a code change.

Integration work often sits alongside a custom system we or someone else built, so the same team can change both sides when a change genuinely belongs on the other end.

Questions people ask before they call

Can you connect our shop to our accounting system? Usually yes. Payment gateways, ERPs, CRMs, shipping providers, POS systems and messaging platforms are routine work. Send us the names and we will check both sides before promising anything.

What if a vendor has no API? Then we tell you before you spend money. Sometimes there is a file exchange or a partner endpoint; sometimes the honest answer is that a person still does it, or that you should push the vendor.

How long does an integration take? A well-documented one-way sync can be days. Two-way synchronisation with conflict handling takes longer, because the hard part is the disagreement rules rather than the connection.

What happens when the other system goes down? Work queues rather than disappears, retries happen automatically, and if it stays down an alert reaches a person. Nothing is silently dropped, and the log shows exactly what is waiting.

Is our data safe in transit? Encrypted connections, credentials in a secrets manager rather than in code, permissions scoped to the minimum the integration needs, and no copies of your data kept anywhere we do not agree in advance.

Do integrations need maintenance? Yes, and anyone saying otherwise has not run one for long. Providers deprecate versions and change fields, so we document what to watch and can cover it under a support arrangement if you would rather not.

Do we own the code? Yes, in your repository, documented, with no dependency on a platform of ours. The same policy applies here as on our custom software work.

Is it always worth automating? No. Below a certain volume the maintenance costs more than the manual work saves. We will tell you where that line sits for your case.

Let's talk it through

Tell us which two systems are not talking and what someone is doing by hand to bridge them. We will check what each side actually offers and come back with what is possible, what it would take, and whether it is worth doing at your volume.

Message us on WhatsApp, call +962 7 9087 9419, or email [email protected]. The names of the systems and a rough idea of how many records move per day are enough for a straight answer.

What's included

Benefits

Systems that talk without a person in between

Data moves on its own schedule instead of waiting for someone to export a file, so the work continues when that person is on leave.

Built for the day the other side fails

Retries, queueing and duplicate protection tested by deliberately breaking things, so an outage at the far end delays work rather than losing it.

Visible when something stops

A readable log and alerts that reach a named person, so you find out from the system rather than from a customer three days later.

Mornings back

The exporting, retyping and cross-checking disappears from someone's day, along with the transcription mistakes that came with it.

Credentials handled properly

Keys stored in a secrets manager, scoped to the minimum access needed and rotatable without a code change, instead of pasted into a script.

Documented and yours

Endpoints, field mappings and known limits written down, with the source code in your repository so any competent developer can take it over.

Our process

How we work

1

Map the data

Which system owns each piece of information, what has to move where and how often, and what happens when two systems disagree — agreed in writing first.

2

Check both sides

We read the documentation for each system, test its limits, and tell you what is genuinely possible before any commitment — including when the answer is that it is not.

3

Build in a sandbox

Development against test environments and sample data, so nothing touches live records or real payments until the behaviour is confirmed.

4

Test the failures

Timeouts, expired tokens, duplicate messages, changed fields and outages simulated on purpose, with the recovery behaviour verified rather than assumed.

5

Go live and monitor

A staged rollout with logging and alerting in place from the first day, documentation handed over, and someone watching while the first real volume passes through.

Frequently asked questions

In most cases yes. Payment gateways, ERPs, accounting packages, CRMs, shipping providers, point-of-sale systems and messaging platforms are routine integration work for us. What decides the effort is what each side exposes: a modern documented interface makes it straightforward, while an older on-premise system may need a file exchange or a database-level approach. Send us the names of both systems and we will check what each one actually offers before promising anything.

Then we tell you that before you spend money, which is not always what a vendor wants said out loud. Sometimes there is a scheduled file exchange, a partner endpoint, or direct database access under a support agreement. Sometimes the honest answer is that no reliable automated route exists, and your choices are to keep a person in the loop, or to press the vendor. Reading a screen and pretending it is an interface is fragile, breaks without warning whenever the vendor changes a layout, and we will advise against it rather than sell it.

A well-documented one-way sync — orders flowing into an accounting system, for example — is often a matter of days. Two-way synchronisation takes considerably longer, because the difficult part is not the connection but the rules: which side wins when both changed the same record, what counts as a duplicate, and what should happen to data that arrived while the other system was unreachable. You get a timeline after we have looked at both sides, not during the first call.

Work queues instead of disappearing. Failed calls are retried on a sensible schedule rather than hammering a system that is already struggling, duplicate protection means a retry does not create the same order twice, and if the far side stays unavailable an alert reaches a named person rather than a shared inbox nobody reads. When it comes back, the queue drains and the log shows exactly what was delayed and what has now completed.

Connections are encrypted, credentials live in a secrets manager rather than inside the code or a spreadsheet, and each integration is given the minimum permissions it needs rather than a full-access key because that was quicker. Where an integration has to hold data temporarily — a queue, for example — we agree in advance what is stored, for how long, and where. We do not keep copies of your data on our own infrastructure unless that is explicitly part of the design you approved.

Yes, and anyone telling you otherwise has not operated one for long. Providers deprecate API versions, rename fields, tighten rate limits and change authentication, usually with notice that lands in an inbox nobody monitors. We document what to watch and where the announcements are published, and if you would rather not track it yourself, that can sit under a support arrangement. The alternative is finding out through a customer complaint.

You do. It lives in a repository under your account, documented, with the endpoints and field mappings written down so any competent developer can pick it up. There is no platform of ours it depends on and no licence that expires. This is the same policy we apply across our custom software work, and it is in the contract rather than sold as an extra.

No. Every integration is a small system that has to be monitored and maintained for as long as it runs, and below a certain volume that costs more than the manual work it replaces. If ten records move once a week and someone handles them in five minutes, we will say that a documented manual process is the better answer. The volume, the error cost and how much a mistake matters decide it, and we will work through those numbers with you before quoting.