Real-time API calls
For cases where a booking must be confirmed while the customer is still on the page. REST or GraphQL over HTTPS, with timeouts and fallback behavior defined before anyone writes the normal flow.
Enterprise System Integration
When two systems disagree about the same order, it costs more than the hour it takes to re-enter it. We connect your ERP, CRM, finance and partner systems, and plan for the day one goes down.
Someone in finance exports a CSV file every Monday because the ERP and the billing system have never been connected. The same customer exists twice in the CRM with two addresses, and nobody knows which one the warehouse will use. Integration work is mostly this: getting systems that were never designed to work together to agree on the same facts, in the same order, without a person in the middle keeping track.
How systems connect
Most integrations follow one of four patterns
The right pattern depends on how fresh the data must be and what the other system supports. Often the vendor’s API makes the choice for you, and one project rarely uses only one.
Scheduled batches and file transfers
Many systems still exchange files on a schedule, and that is often the right choice: the overnight product feed, the payroll export, the SFTP transfer or EDI message a bank or partner won’t replace.
Events and messaging
One system publishes what happened, and the others react on their own schedule. The sender no longer waits for the slowest receiver, but you now have a message queue to monitor.
What happens when it fails
Retries, idempotency keys so a repeated request can’t run twice, dead-letter queues, reconciliation jobs, and alerts that name the broken connection rather than the whole pipeline. This is what decides whether the integration is still trusted a year from now.
An integration is judged by its bad days
When everything works, integration is the easy part. The real test is the afternoon the payment provider times out after it has already charged the customer, or the CRM accepts a record and silently drops a field it doesn’t recognize. Nobody notices silent data loss until someone downstream asks why a month of orders is missing a country code.
So the difficult questions get answered early: which system is the source of truth for each field, what makes a retry safe to repeat, and how long a queue can grow before someone is alerted. Then we build the reconciliation that confirms both systems still agree, and the dashboard that shows it. At 3 a.m., the on-call engineer shouldn’t have to guess.
Deciding which system owns each fact
| Data | Usual owner | First question |
|---|---|---|
| Customers and accounts | CRM | Which address the warehouse ships to |
| Prices and stock | ERP | How stale the web shop’s copy may be |
| Invoices and payments | Finance or billing system | What happens after a timed-out charge |
| Employees and org structure | HR system | When a leaver loses access elsewhere |
| Partner orders | Partner, via EDI or API | How a rejected message gets corrected |
| Order status | ERP or e-commerce platform | Which system wins when both changed it |
How an integration gets built
Integrations fail more often in the gaps between teams than in the code. The early steps write down what each side commits to, and the later ones prove those commitments still hold.
- 01
Map the flows
We list every point where data moves between systems today, including the spreadsheets and the person who emails a report every Friday. You receive a diagram of the current flows, with the source of truth marked for each kind of data.
- 02
Agree on the contract
Fields, formats, error codes, rate limits, what a retry means, and who owns a record when both systems changed it. You get an OpenAPI or schema document that the vendor’s engineers can review and challenge before anyone builds.
- 03
Build against a harness
We first simulate the other system, failures included: timeouts, malformed data, a server error halfway through a batch. The harness stays in your repository, so future changes can be checked without calling the live vendor system.
- 04
Run it in parallel
The new integration runs alongside the manual process while results are compared, so a mismatch surfaces before it reaches a customer. You see the reconciliation results throughout, and the switch-over is agreed with you once the remaining differences are understood.
- 05
Hand it over
Dashboards for volume and delay, alerts that point to the failing step, and a runbook for vendor outages, all running in your accounts. Integrations rarely stay still after go-live, so most continue under a support agreement.
What the work runs on
Most of this is decided for you. The vendor on the other side supports what it supports, and your platform already has a message broker and an identity provider. We suggest a change only when the current option keeps failing.
- REST / JSON
- GraphQL
- Webhooks
- OAuth 2.0
- SFTP / EDI
- Apache Kafka
- RabbitMQ
- Azure Service Bus
- SAP
- Salesforce
- Dynamics 365
- Stripe
- OpenAPI
- Postman
Questions buyers ask
It’s a shared problem. Working out what an API really does when its documentation is wrong is part of integration work, so we plan time for it from the start and tell you early when the gaps turn out larger than expected. What we need from you is a contact at the vendor who can answer questions, because some behavior can’t be discovered from the outside.
Not sure which one you need?
Describe the problem in a paragraph and we will tell you which service applies.