The Real Cost of Disconnected Systems
Manual data transfer between systems is expensive in ways that never appear on an invoice. Someone retypes orders and occasionally mistypes one. Stock is right in the warehouse and wrong on the website for six hours a day. Finance reconciles two reports that disagree and nobody can say which is correct.
Integration removes the transcription step entirely. The order that arrives in the store appears in accounting with the same reference, the same total and the same timestamp, because it is the same record rather than a copy someone made.
What We Integrate
- ERP and accounting systems, including e-invoicing
- E-commerce platforms and marketplaces
- Payment gateways, banks and instalment providers
- Cargo, courier and logistics providers
- CRM, marketing automation and e-mail platforms
- WhatsApp Business, SMS and notification services
- Warehouse, barcode and RFID systems
- HR, payroll and time-tracking software
- Custom REST and GraphQL API design for your own products
- Middleware layers where several systems must stay in step
Integrations That Survive Contact With Reality
The difference between a demo integration and a production one is entirely in the failure cases. Partner APIs go down, rate-limit you, change a field without warning, or return success and then not have created the record. An integration that assumes the happy path will lose data, and you will find out from a customer.
We build with queued jobs and retries with backoff, idempotency so a retry cannot create a duplicate order or double-charge, validation at the boundary, dead-letter handling for records that repeatedly fail, structured logging of every exchange, and alerting that reaches a person when something is genuinely stuck.
Every integration also gets a dashboard: what synced, what failed, what is queued. When finance asks why an order is missing, the answer takes thirty seconds instead of a day.
When a System Has No API
Older business software often has no usable API, and replacing it is not always an option. We work with what exists: direct database integration with a read-only or carefully scoped account, scheduled file exchange over SFTP, parsing of exported reports, or a small adapter service that presents a clean modern API in front of the legacy system.
These approaches need more care around data integrity and change detection, and we document exactly what each one assumes so a future upgrade does not break silently.
How We Deliver
We start by mapping the data: which system owns each field, what happens on a conflict, how often synchronisation needs to occur, and what "correct" looks like for each record type. That conversation prevents most of the arguments that integrations otherwise cause.
Build happens against a test environment with real sample data, then a parallel run where both the old manual process and the integration operate so discrepancies surface before cutover. After launch you get documentation, monitoring and an agreed support arrangement, and the code is yours.