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AI document automation: invoices, contracts, delivery notes

Manual document entry is slow, expensive and always error-prone. AI recognizes documents of any quality, extracts the data and posts it to your systems — faster and more accurately than a human.

Sound familiar?

  • Accounting manually re-types data from invoices into the ERP
  • Contract review takes days and distracts lawyers with boilerplate clauses
  • Manual entry errors surface during reconciliation and cost real money
  • Documents get lost between email, scans and server folders

How AI solves it

  1. 01

    AI recognizes incoming documents — scans, photos, PDFs — and extracts details, amounts and line items.

  2. 02

    Data is automatically checked against orders and contracts; discrepancies are flagged for a human.

  3. 03

    Verified documents are posted to your ERP or CRM without manual entry.

  4. 04

    Standard contracts are checked against a risk checklist: AI highlights non-standard clauses.

Concrete scenarios

Incoming invoices into the ERP

Invoices from email are recognized, matched against orders and posted to the ERP without re-typing.

Contract review

Standard contracts run through a risk checklist; non-standard clauses are flagged to the lawyer.

Delivery documents

Document sets for a delivery are cross-checked against each other; discrepancies go to a separate queue.

An archive in order

Scans and PDFs are sorted by counterparty and type; any document is found by search in seconds.

How the system works

  1. 1

    A document arrives

    email, scan, photo, e-document exchange

  2. 2

    Recognition

    details, amounts, line items

  3. 3

    Verification

    against orders, contracts, reference data

  4. 4

    Posting

    to the ERP or CRM automatically

  5. 5

    Control

    discrepancies go to a human, the rest to the archive

Input and output

What we need from you

  • Scans, photos, PDFs, email attachments — any quality
  • Reference data: counterparties, contracts, product catalog

What you get

  • Structured data in the ERP without manual entry
  • A discrepancy queue with problem fields highlighted
  • A traceable, searchable archive

What we integrate with

  • ERP
  • accounting systems
  • e-document providers
  • Email
  • Google Drive
  • SharePoint
  • Bitrix24
  • your system's API

Results

  • Up to 90% of incoming documents processed without human involvement
  • Processing time: minutes instead of hours per document
  • An order of magnitude fewer data entry errors
  • A full digital trail: any document found in seconds

Case study

A wholesale distributor: accounting manually entered hundreds of invoices and delivery notes weekly; errors surfaced during supplier reconciliations.

We set up recognition of incoming documents from email and the scanner, matching against orders and automatic posting to the ERP; disputed documents go to a separate queue with fields highlighted.

  • About 85% of documents pass without human involvement
  • Supplier reconciliations stopped uncovering entry errors
  • Accounting closes the period noticeably faster

Pricing and timelines

We don't publish a price list: the range of tasks is too wide for one honest number. Instead — a transparent model:

  1. 01

    Consultation — free

    30 minutes: we walk through the process, estimate the economics and scope the first phase.

  2. 02

    Estimate and plan

    Scope, timeline and cost fixed before the start — no hidden items.

  3. 03

    Prepayment to start

    A fixed advance covers tooling and environment setup. Infrastructure costs (server, APIs) are billed separately when your solution needs them.

  4. 04

    Final payment on delivery

    The closing payment comes after the agreed scope is delivered.

Guaranteed: the first working phase ships 2 weeks after the start. The rest follows a plan fixed in advance.

Cloud or your perimeter

Cloud deployment

Fast start: models via cloud APIs, the system on our or your VPS. Fits when perimeter requirements are standard.

On-premise deployment

Models and data fully inside your perimeter — on your hardware or a dedicated server. For healthcare, finance and anyone whose data can't leave.

Hybrid

Sensitive data is processed locally, the rest in the cloud. A balance of cost and requirements.

Risks and limitations

  • Handwriting and very poor scans are recognized less reliably — such documents go to a manual queue, and their share is visible in the report.
  • In the first 1–2 weeks a human reviews more than usual: the system adapts to your documents, then the manual share drops.
  • Integration with e-document exchange and non-standard ERP configurations is estimated separately during the audit.

Common questions about this task

Our documents are "non-standard" — will AI read them?

Modern models read documents of any format, tables and stamps included. During the audit we run a pilot batch of your real documents and show the accuracy before the start.

What about document confidentiality?

By default we offer processing inside your perimeter or on a dedicated server. We sign an NDA.

Do we need to change our ERP?

No — we integrate with your configuration through its standard exchange mechanisms.

Want the same result?

Send a request — in 30 minutes we'll analyze your process and tell you how much time and money automation will save.

Free consultation