When your CRM, accounting, and e-shop don't talk to each other
An order comes in through the e-shop, someone enters it into accounting by hand, and nobody enters it into the CRM at all. Every system has its own version of the truth, and nobody's sure which one is current. I connect your systems so data flows between them on its own - no manual re-entry, and none of the errors that come with it.
Where the problem comes from
Most companies today don't run on one system - they run on a set of tools that were adopted over time: an e-shop, a CRM, accounting software, a warehouse system, time tracking. Each one solved a different problem at a different time, and nobody planned how they'd pass data to each other.
The result is manual re-typing between systems, which costs time and always lets an error slip in. An order that exists in the e-shop shows up in accounting a day later, or not at all - and nobody's quite sure which number to trust.
Where it hurts the most
In practice, this shows up mainly as:
- Manual data entry. Someone spends hours a week copying numbers from one system into another.
- Numbers that don't match. The CRM says one thing, accounting says another, and nobody knows which is correct.
- Delays. Data reaches the second system a day late, so decisions get made on outdated information.
- Duplicate records. The same customer exists in three systems with three slightly different versions of their contact details.
- No single view. Nobody has one place to see the full picture - it has to be pieced together from three different screens.
Integration isn't about replacing everything with one giant system. It's about making the systems you already have talk to each other - so people stop doing work a connection between them could do instead.
How I approach it
Mapping the data flows
I find out which data moves manually between systems today, where errors creep in, and which connection would bring the biggest relief.
Integration design
I design how the systems connect - via API, or via a middleware layer if a direct link isn't possible - and which system is the source of truth for each type of data.
Consolidation & cleanup
Before going live, existing duplicates and inconsistencies get resolved, so the integration doesn't start on top of a mess.
Rollout & monitoring
I roll out the connection in stages, validate it against real data, and set up monitoring so it's immediately obvious if something stops working.
What you get
- No more manual re-entry - people's time goes into actual work, not copying numbers between screens.
- Current data across all systems, not delayed by hours or days.
- Fewer errors from manual entry and duplicate records.
- Faster decisions, because you can trust that the number in the system matches reality.
When it makes sense
- Someone at the company regularly spends time re-entering data between systems.
- Data in different systems doesn't match up.
- The company is adding a new system and needs to connect it to existing ones.
- Decisions get made on stale numbers because data arrives late.
Frequently asked questions
We have systems from three different vendors. Can they even be connected?
In most cases, yes - through an API, which nearly every mainstream system offers today, or through a middleware layer if a direct connection isn't available. What's technically possible in your specific setup gets checked first.
Won't the integration be fragile - one system update and everything breaks?
That risk exists with any integration, but it can be significantly reduced with the right design and monitoring that alerts you if a connection stops working. The goal is something that holds up, not a quick patch.
How many systems can be connected at once?
Technically, several - but in practice I recommend starting with one specific data flow, like orders from the e-shop into accounting, and expanding from there. Smaller steps are easier to test and fix.
What happens to data that's already duplicated across systems?
Before connecting the systems, we consolidate and clean the data - deciding which system is the source of truth for each type of data, and merging or flagging duplicates for manual review.
Re-entering data by hand between systems?
Thirty minutes, no strings attached. We'll look at which connection would save the most time, the fastest.
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