On paper, integrations look simple.
ERP connects to CRM. CRM connects to external tools. APIs handle the rest.
Everything looks clean.
Then you go live - and things slowly start breaking.
Not immediately. But enough to cause real problems.
Here’s what actually goes wrong.
1. Systems don’t agree on what data means
A “customer” is not the same everywhere.
- In CRM - it’s a lead with activity
- In ERP - it’s a billing entity
- In other tools - it might just be an email
You map fields and think you're done.
Then you get:
- duplicates
- missing data
- updates overriding each other
The issue is not mapping. It’s the data model.
2. No clear source of truth
Multiple systems updating the same fields is where things fall apart.
- CRM updates phone number
- ERP updates it later
- Another tool syncs an older value back
Now you have conflicting data and no clarity.
If ownership is not defined, consistency is impossible.
3. APIs work, workflows don’t
APIs returning 200 does not mean your system works.
Example:
- CRM creates a deal
- ERP needs validated customer data
- External tool triggers actions
If timing and sequence are not defined:
- things happen too early
- required data is missing
- processes silently fail
APIs move data. Workflows define behavior.
4. No handling for failure
Production always fails at some point.
- API timeouts
- network issues
- third-party downtime
If your system assumes everything works:
- data gets lost
- retries create duplicates
- processes break halfway
You need:
- retries
- idempotency
- proper logging
Otherwise, failures stay hidden until users notice.
5. Real-time everywhere (when it shouldn’t be)
Real-time sounds good. It’s often a mistake.
It creates:
- race conditions
- higher load
- harder debugging
Not everything needs to be instant.
Some flows should be queued or batched.
6. No visibility across systems
When something breaks, no one knows where.
Each system has its own logs.
There is no single place to see:
- what triggered
- what failed
- what is pending
Without visibility, debugging becomes guesswork.
What changed for us
We stopped treating integration as just connecting APIs.
Instead:
- defined ownership of data
- controlled workflows centrally
- handled failure as a default case
- made everything traceable
Final thought
Most integrations don’t fail because of bad code.
They fail because no one designed how systems should behave together.
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