Your Tools Don't Talk to Each Other

Most modern software communicates through APIs (Application Programming Interfaces). An API is a structured way for one system to send data to another. When you close a deal in HubSpot and an invoice appears in Xero, that happens through an API call. The most common type is a REST API, where one system sends an HTTP request to another and gets a structured response. Webhooks work the other way around: instead of asking for data, a system sends a notification the moment something changes. For example, Stripe can send a webhook to your system the instant a payment succeeds, so you do not need to keep checking.

There are two main approaches to connecting systems. Point-to-point integration connects each system directly to every other system it needs to talk to. This works well when you have two or three tools, but it gets complicated fast. If you have five systems that all need to share data, you end up with ten separate connections to maintain. The alternative is a hub-and-spoke (or middleware) approach, where all systems connect to a central layer that routes data between them. Adding a new tool means one new connection instead of many. For most businesses with more than three systems, the hub approach saves time and reduces the chance of something breaking when you add or change a tool.

Not every system has a clean API. Older software, custom-built tools, and some industry-specific applications may only store data in a database with no external interface. In these cases, we build adapter layers that sit between the old system and the integration. The adapter reads from or writes to the database (or in some cases, interacts with the application's user interface directly) and exposes that data through a modern API. This means the legacy system keeps running untouched while everything else connects to it normally.

The choice between real-time sync and batch processing depends on how time-sensitive the data is. Real-time sync means data moves the moment it changes, which is essential for things like inventory levels, payment confirmations, and customer-facing status updates. Batch processing collects changes and sends them at scheduled intervals, such as every hour or once a day. Batch is simpler, cheaper to run, and perfectly fine for data that does not need to be instant, like end-of-day financial reconciliation or weekly reporting. Many integrations use a mix of both: real-time for the critical paths and batch for everything else.