Documents to records.
Extract information from invoices, orders or forms, check the required fields and prepare a record for the system that needs it.
An extraction workflow with validation and an agreed review path.
Sve usluge
AI i automatizacija
Less retyping. More useful work.
Connect the tools you already use. Read the documents that keep arriving. Route the exceptions to a person. Start with one workflow that is worth improving.
Interactive example / fictional data
Invoice
CI-DEMO-0417
Example Parts Ltd.
14.10.2026
Total48 600 RSD
Structured record
- Supplier
- ···
- Number
- ···
- Total
- ···
Ready to read
- 01Read
- 02Check
- 03Save
Step through the example. No file is uploaded and nothing leaves this page.
Document processing / integrations / assistants / workflow automation
Design the handoff, too
What happens when the input is incomplete?
An exception is part of the workflow
01Read the source
Keep the original available alongside the extracted information.
02Check what matters
Validate required fields and business rules before making a change.
03Hand over uncertainty
Route incomplete or conflicting records to someone who can decide.
A clean example is the easy part. Useful automation needs a defined response to missing fields, duplicates and uncertain results. We agree those boundaries before connecting the workflow to your systems.
- One narrow pilot
- Pick a recurring task, collect representative examples and define what a correct result looks like.
- A visible boundary
- Agree what can run automatically, what needs approval and what should stop entirely.
- Measure the result
- Compare the pilot with the current process: time spent, mistakes caught and exceptions that still need attention.
Ways to work together
Automate a task you can name.
Start with the repeated action, the inputs and the destination. The technology comes after the workflow is clear.
Tools that talk.
Move data between email, spreadsheets, catalogs and business software. Handle duplicates, failures and retries where the integration needs them.
A defined trigger, destination and record of what happened.
Grounded assistants.
Search your documents or answer from approved product information. Define what the assistant can use and when it must hand the conversation to a person.
A focused assistant, tested examples and clear escalation rules.
Kako funkcioniše
Prove one workflow before expanding it.
A pilot should show whether the improvement justifies the work. Some tasks need a simpler integration rather than an AI model.
- 01
Map the task
Walk through the current process, its frequency and where time or errors accumulate. Collect real examples, including awkward ones.
- 02
Run a pilot
Build one narrow path and compare its output with agreed examples. Keep the result reviewable before it writes to a live system.
- 03
Handle the edges
Add the validation, approvals, failure handling and records the workflow needs. Document who takes over when it stops.
- 04
Put it to work
Connect the agreed systems, observe the results and decide whether to extend the automation to the next task.
Do we need AI for this?
Possibly not. Rules, structured imports or a direct integration may solve the task more reliably. We start with the workflow and choose the simplest approach that meets it.
What happens to our data?
We agree which systems and models receive which data before the pilot. Self-hosted options can be assessed for sensitive work, alongside their hardware and maintenance requirements.
Can it connect to our existing software?
Send the product names and an example of the information that needs to move. APIs, exports and permissions determine what is practical; we check them before promising an integration.
How do you deal with wrong or incomplete answers?
We define validation and escalation rules, test against representative examples and keep a person in the loop where the risk calls for it. The missing-total example on this page shows that boundary in a simple form.
One task is enough
Show us the work you keep repeating.
Describe what arrives, what you do with it and where the result goes. We can work from that before discussing a model or a platform.