Software Development · API
Systems that exchange data on their own.
Every manual data transfer is a place where errors appear. An integration removes that step and makes failures visible.
When clients usually bring us in
- the existing system no longer keeps up
- the work happens in spreadsheets
- data is duplicated across systems
- you need a new application
- you want to modernise an old system
- you're building a new digital product
What this means for you
- Fewer spreadsheets and manual status updates.
- Less duplicated data across systems.
- One view of the process for management and the team.
- A system that grows with the company.
- Less dependence on the one person who knows how it works.
What we cover
- interface design and source of truth
- two-way sync without duplicates
- queues, retries and error handling
- security: tokens, permissions, encryption
- monitoring and failure alerts
- interface documentation
An API starts with a contract, not with code
An interface is an agreement between two systems. Before building it we write down which operations exist, what a request and a response look like, what is mandatory, what happens on error and how the interface will change over time. That agreement is also the basis for testing and for the documentation.
- the operations and what each is for
- request and response format, and which fields are mandatory
- input validation and a consistent error format
- authentication and permissions per operation
- pagination for large result sets
- rate limits
- idempotency, so a repeated call has no duplicate effect
- versioning and how long the previous version stays supported
- documentation that matches what is actually deployed
Errors and idempotency
The caller has to be able to tell from the response whether the fault was theirs, ours, or temporary. That is the difference between an integration that can be maintained and one that needs a person every time something hiccups.
For operations that change data we make sure a repeated call does not create a second record - that is what makes retries safe.
What happens after release
- monitoring of health and response times
- alerts when the error rate rises
- a call log for diagnostics
- a procedure for interface changes and notifying consumers
- security updates to dependencies
How we build the system
Architecture
We define the data model, modules and system boundaries before development, so later growth doesn't require a rewrite.
UX/UI
You approve the user journeys and a prototype of the key screens before any feature is written.
Frontend and backend
The interface and the server side are built to one standard: readable code covered by automated tests.
Integrations
Connections to ERP, CRM, document systems and registries, with logging and retries.
Data
Migration, cleanup and data quality rules, so the new system doesn't inherit the old errors.
Security, quality, rollout
Security
Authentication and permissions, encryption in transit and at rest, an audit trail and a review before go-live.
Testing
Automated tests, regression and acceptance testing against your criteria, not ours.
Deployment
Separate environments, phased release and the ability to roll back within minutes.
Handover
Code, access, documentation and team training. The system stays yours.
Maintenance
An agreed response time, monitoring and a monthly allocation for enhancements.
Related work
FAQ
What if a system has no API?
There are workarounds: scheduled exports, file interfaces or an intermediate database. We choose based on reliability and maintenance cost.
Related solutions
Sounds like your project?
Send us the project description, your existing system, the tender documents or the event date.