How it runs today
- 01Data is exported from one system and typed into another.
- 02Intermediate states live in spreadsheets that someone maintains.
- 03Errors only surface when a customer gets in touch.
Use case
System integration
Many companies do not need AI first, they need a connection. When two systems do not talk to each other, a person does it - every day, by hand.
Usually the cheapest way in
The difference
The same process, once as it is today and once with us.
- 01Source
- 02Transfer
- 03Target system
A person does itThe system does it
How it would run with us
- 01The source is read as soon as something changes - no manual export.
- 02The transfer is logged; an abort leaves no half-written record behind.
- 03The target system holds the state of the source, and discrepancies report themselves.
What it gets you
- Both systems show the same state without anyone exporting anything.
- The transfer keeps running at night and over the weekend.
- A failure leaves a message behind, not half a record.
Where it does not fit
With legacy systems that offer no export at all it gets laborious. Impossible is rare, but it can eat up the benefit.
More specific
What this looks like in your sector
The process is sector-independent, the fit is not. These pages show the systems, the formats and the rules that actually apply there.
Wholesale
In trade a connection is not a convenience but stock control. Every hour of delay is an oversell that costs money and rating.
ViewRetail
In retail the connection is the precondition for stock being right at all. Everything else is built on top of it.
ViewIndustrial suppliers
At a supplier the customer dictates the interface. The connection is therefore not an internal decision but a condition of supply.
ViewFrequently asked
How long does implementation take?
2 to 4 weeks, usually the cheapest way in. Building it is usually the shorter half - the time goes into access, coordination and test cases.
What do we have to provide?
Access to both sides, source and target - read access is enough for testing. A decision on which system is right in case of doubt. A test tenant or a copy we may work in without touching live data. Nothing more is needed to start.
How will we know it works?
From verifiable criteria agreed before the build: Over a week of parallel operation, source and target agree on 100 % of the records transferred. Every error is reported instead of being silently skipped. An abort mid-transfer leaves no half-written record behind.
Does the AI decide on its own?
Runs entirely independently - there is nothing to decide here, only to transfer. Which is exactly why it is often the best first process.
When is this not worth it?
With legacy systems that offer no export at all it gets laborious. Impossible is rare, but it can eat up the benefit.
Which sectors does this suit?
In our experience particularly Wholesale, Retail, Industrial suppliers. The process itself is sector-independent, though - what matters is whether it repeats.
Let us start with a conversation.
You tell us where your time goes. We put it in writing: what is worth automating, and roughly what that costs.
