Document AI
The paperwork reads itself. You see clean data, not a stack of files.
From the work: Enterprise AI
an agent in your stack
An example architecture, not a named client: a request comes in, your rules bound it, the agent reads, plans and executes, the systems are written back to, and every step stays logged and auditable.
Invoices, contracts, delivery notes, KYC packets, and scanned forms still get keyed in by hand, line by line, person by person. We build Document AI that reads those documents, pulls the exact fields you need, checks the values, and writes them straight into your ERP, accounting tool, or CRM. You review the edge cases. The routine pile handles itself.
TIM Studio works from Novi Sad in Serbia, remotely, in English and Serbian, for companies in the UK, the EU and the US, and at home across Serbia, Croatia, Bosnia and Herzegovina and Montenegro.
What you get
A working extraction pipeline tuned to your document types: invoices, POs, contracts, IDs, bank statements, or custom forms, including scans and photos
A defined schema of the fields we pull from each document, with confidence scores attached to every value
Validation rules that catch wrong totals, missing fields, duplicate invoices, and mismatched line items before they reach your books
A human-in-the-loop review screen where staff approve or correct only the documents the model flags as uncertain
Direct integration that posts clean records into your existing systems: accounting, ERP, Google Sheets, or database, no copy-paste
A short operating guide plus accuracy figures from your real documents, so you know exactly what runs unattended and what needs eyes
How the work runs
Sample and scope
You send a batch of real documents and we map every field, layout variant, and exception worth automating against the manual hours each one costs today.
Build and tune on your data
We build the extraction and validation pipeline against your actual files, then measure field-level accuracy until it clears the threshold you sign off on.
Connect and set review
We wire the output into your systems and stand up the review queue so low-confidence documents go to a person and clean ones post automatically.
Hand over and support
We run a live batch with your team, document the workflow, and stay on to retune as new document formats and senders show up.
Before you ask
Accuracy depends on your documents, and we report it field by field on your real files before launch. Every extracted value carries a confidence score, so anything below your threshold routes to a review screen for a quick human check. The model does not silently guess and post a wrong number into your accounts.
Yes for scans, phone photos, skewed pages, and mixed-language documents, which we handle routinely. Handwriting works for structured fields like dates, amounts, and checkboxes; dense freeform handwriting is less reliable, so we test it on your samples first and tell you honestly what to expect before you commit.
That is the point. We push extracted data into the tools you run today, including QuickBooks, Xero, SAP, Pohoda, Google Sheets, or a direct database write through their APIs. If a system has no API, we can drive it through a controlled workflow. You get clean records where you already work, not another dashboard to check.
Write to us.