FROM WORKFLOW TO WORKING TOOL

AI & automation

Turn repetitive document and data work into a small, checked pipeline. Every uncertain result is flagged for a person.

Written scope. Tests on your material. Source code delivered.

SNELLO / WORKFLOWIllustrative flow
Select a step to explore the workflow.

The problem

  • PDFs and scans arrive by email and someone copies totals, VAT and dates into a spreadsheet. Files are renamed and sorted by hand every week, duplicates slip through, and a total that does not add up is noticed only at closing.
  • Some documents cannot be sent through someone else’s cloud account at all.

What you get

  • Extraction of the fields you choose, including line items
  • Automatic checks: totals add up, VAT and dates are valid, VAT numbers have the right format
  • A “needs review” list for anything that fails a check
  • Automation of the steps around it: a watched folder, duplicate checks, a daily or weekly summary
  • AI steps only where they help, off by default, on your own key or a local model

Deliverables

  • Source code you own and a run guide
  • Output to Excel, CSV or JSON
  • An accuracy report on your own samples

How we measure it

  • Before building, we run your samples and count, field by field, what came out right, what was flagged, and what was wrong without being flagged. The project is then measured on a test set of your documents kept apart from the ones used for building, against a pass mark agreed in advance.

Limits

  • No 100% accuracy promise: results depend on your documents, and we report what we measure.
  • AI never runs on our subscriptions; your documents are not sent through our accounts.
  • AI agents have been used internally only so far; we do not yet offer customer-facing AI agents in production.

Related work

Synthetic data

doc2data

Invoice and receipt PDFs and scans to checked, structured data.

Test results and limits

0 field errors on 3 clean synthetic sets of 16 documents; 92.9% (131 of 141) and 91.4% (127 of 139) of fields on degraded synthetic scans (measured 2 October 2026).

Read the project: doc2data
Synthetic data

FatturaPA reader and SdI receipt explainer

Italian e-invoices (XML and signed .p7m) to one checked spreadsheet, where the implemented checks flag defined problems, with the SdI rejection code where one applies; SdI notices explained in plain words.

Test results and limits

On 3 synthetic sets of 94 invoices: 28 of 28 planted faults detected in each, 0 of 66 clean invoices flagged by mistake (measured 5 October 2026).

Read the project: FatturaPA reader and SdI receipt explainer
Synthetic data

Ask your documents

Questions answered from your own files with the exact sentence and its source, offline, with rules to refuse unsupported questions.

Test results and limits

On the synthetic hold-out set: 36 of 43 correct; 11 of 12 unanswerable questions refused and 1 answered wrongly (measured 5 October 2026).

Read the project: Ask your documents

Bring your workflow into focus.

Send up to 3 samples or describe one process. We reply by email with what is feasible and how we would measure it.

Start a project
SNELLO / TOOLS

This explains the tool; it is not a live AI session. No document is uploaded.

Our working method
Full diagram

Read the project

Discuss your project

Send up to 3 samples or describe one process, the tools you use and the result you need.

snello.contact@gmail.com

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