've heard this sentence more times than I can count:
"Can't we just connect it to the API?"
It sounds simple.
Sometimes it is.
Most of the time, it isn't.
The API is usually the easiest part.
The real work starts after the connection is made.
You quickly run into questions like:
- Which system owns this data?
- What happens if both systems update the same record?
- What if the API is temporarily unavailable?
- What should happen when data is missing?
- How do we recover if only half the workflow succeeds?
None of these problems are solved by the API itself.
Another thing people underestimate is that every system has its own way of thinking.
One system might allow duplicate records.
Another requires everything to be unique.
One updates data instantly.
Another syncs every 15 minutes.
One treats a deleted record as inactive.
Another removes it completely.
Connecting them is less about moving data and more about translating behavior.
Then there are the things you only discover in production.
An endpoint that occasionally times out.
A webhook that arrives twice.
A field that's documented as optional but is required for one customer.
The integration works perfectly in testing.
Then real data shows up.
One thing I learned is that APIs don't integrate businesses.
They integrate software.
Understanding how people actually use those systems is a different challenge.
And it's usually the bigger one.
Now when someone says,
"Let's just connect it to the API,"
I don't think about authentication or endpoints.
I think about:
- data ownership
- failure handling
- retries
- state changes
- business rules
Because that's where most integration work actually happens.
The API opens the door.
Building something reliable after that is the real engineering work.
This is something we deal with regularly at BrainPack while connecting enterprise systems and layering AI on top of them. The technical connection is often the fastest part. Making different systems behave predictably together is what takes the time.
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