Data is maintained twice
Entering customers, orders or appointments in several systems wastes time and causes mistakes.
Connect systems without losing track of which script runs when. Interfaces and APIs with documentation, monitoring and clear error handling.

Orders flowing into inventory systems, bookings appearing in calendars and forms feeding newsletters save time every day. When a connection quietly fails, you may only notice when a customer contacts you.
I build integrations with error handling, retry logic, logging and documentation so you and others can understand what happens and when.
Entering customers, orders or appointments in several systems wastes time and causes mistakes.
Scripts and Zapier chains nobody understands become risky when a system changes.
Without logs and alerts, missed orders or duplicate bookings can go unnoticed for days.
Transfer orders, customers and stock automatically, one way or in both directions.
Synchronise appointments with Google or Outlook calendars, including conflict and time-zone handling.
Pass registrations with consent and double opt-in to mailing systems.
Process payment status reliably, including repeated or out-of-order notifications.
Custom endpoints for workflows, reporting and data access, with authentication and rate limits.
Document endpoints, data flows and error cases, with logs and failure alerts.
Every interface has a defined format: what data is exchanged, which fields are required and how errors are reported. A description such as an OpenAPI specification prevents misunderstandings between systems and teams.
Authentication through API keys or OAuth, HTTPS encryption, minimal permissions and verified webhook signatures. Credentials are stored securely rather than in code.
Networks fail and services respond slowly. Good integrations retry failed calls in a controlled way, safely handle duplicate messages through idempotency and report problems instead of hiding them.
Integrations often transfer personal data between providers. I minimise data and document flows so processing agreements and privacy information can reflect them.
Which systems are involved, and what data travels where and when?
Define access, API specifications, limits and error cases.
Develop with tests, retry logic and logging.
Test with real and simulated data and configure alerts.
Documentation, training and a maintenance and change plan.
Many integrations operate behind the scenes. If you need a reference, we can discuss which examples are approved for sharing. I do not invent client logos.
An Application Programming Interface is a defined connection through which systems exchange data or call functions, such as a shop passing orders to an inventory system.
A webhook is a notification one system automatically sends another when something happens, such as a successful payment. This avoids constant polling.
It depends on systems, data volume and error handling. Simple connections can be quick; complex synchronisation takes longer. You receive a fixed-price proposal after a review.
These tools are useful for simple workflows. Custom integrations can be better when volume, reliability, privacy or costs become more important. I advise on what fits your situation.
Through logging, retry logic, idempotency and error notifications, making problems visible and traceable.
I focus on data minimisation, secure transmission and documented flows. Discuss the legal assessment, including processing agreements, with your data protection adviser.
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