AI automation for accounting processes

1 processWe start with one repeatable accounting area, not with a department-wide automation program

1C, EDI, emailwork with the current systems and channels where documents and statuses already live

human oversightAI prepares the data, compares it, and highlights exceptions, but critical decisions remain with the responsible person

Offer

Move one accounting process onto AI rails

RUB 250,000 excl. VAT

In 2 weeks, we launch the selected part of the workflow in your accounting team: source documents outside EDI, reconciliation statements, document matching, a payment calendar, a recurring report, or another repeatable manual process.

1 selected process
2 weeks to launch
RUB 250,000 excl. VAT
if the request includes multiple processes, we first define the initial one

Discuss the process

What problem is solved

In many companies, accounting already uses 1C, EDI, online banking, and Excel.
Even so, a layer of manual work remains: some counterparties send documents by email, some reconciliation statements must be requested and tracked manually, period-close statuses live in email threads, and reports need regular refinement.
When there are dozens or hundreds of such operations, they turn into separate hidden processes.
Formally, the system exists, but people still download files, open emails, transfer data, chase counterparties, reconcile amounts, and keep track in their heads of who has replied and who has not.

Best suited for

This approach is especially useful for mid-sized and large companies that already have a significant accounting workload, but cannot always launch a large IT project for every local process. The initiative most often comes from the owner, CEO, CFO, chief accountant, or head of operations. For them, accounting routine is not the core business focus, but it is a constant source of cost, delays, and dependence on people.

Which processes we start with

Source documents outside EDI

Counterparties send documents by email or other channels. The solution captures the documents, recognizes the details, prepares the data for 1C, and leaves the review to a person instead of manual entry.

Reconciliation statements

You need to generate or collect statements, request documents from counterparties, track replies, compare versions, and highlight discrepancies.

Bank statements and payments

You need to match payments, invoices, payment statuses, and internal approval rules.

Recurring reports

Each month, an accountant or finance specialist gathers data, checks variances, and manually prepares a management file or presentation.

Payment calendar

You need to collect planned payments, reserves, limits, and actual statuses from multiple sources.

Assess where AI can deliver impact in your process

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How the first project works

01
Choose one process
If a quick review shows that it actually contains three different processes, we reduce the scope honestly and define the first part.
02
Map the current workflow
We document the files, systems, roles, manual operations, expectations, common errors, and the checks that must stay with the person.
03
Build a working solution
This can be an integration with 1C, incoming email processing, document recognition, a status traffic light, act comparison, preparation of an upload file, or an exception review interface.
04
Test it on a live process
We look at how much manual work was eliminated, which exceptions remain, and which rules need clarification before the next process.

What the client gets

A newly working process

Not an AI presentation, but a part of accounting work that is now done differently: less manual entry, less manual status checking, fewer repetitive actions.

Reduce manual work

The metric for the first project is how much time and how many manual operations are removed from the process. Headcount savings appear cumulatively once there are several such automated processes.

Accountant review

AI does not make critical accounting decisions on its own. It prepares the data, compares it, highlights discrepancies, and passes clear exceptions to the person.

A foundation for the next processes

After the first successful area, it is easier to take on the next one: the data structure, access, rules, and confidence in the approach are already in place.

Where we use AI and where we do not

AI is useful

recognize details, amount, VAT, and document type
classify an incoming document or email
find a mismatch between statements, payments, or invoices
prepare a draft reply to a counterparty
compile a brief process status and highlight exceptions

AI should not

invent journal entries or accounting rules
promise close timelines without a responsible person
send critical communication independently
change data in 1C without traceable control
replace the accountant in disputed and regulated decisions

Working format

The starting format is one process, a short review before kickoff, and fixed output boundaries.
Usually, the first process takes more time for access, communication, and clarifying rules than for the automation itself.
Subsequent standard processes move faster because part of the solution is reused.
The final result is defined not by a promise to "cut headcount tomorrow," but by a measurable reduction in manual work in the chosen process: less manual entry, fewer manual emails, less manual reconciliation, and less time spent preparing recurring reports.

When not to start

Do not start with the big promise of "automating all accounting." Such a project quickly turns into a complex change program. It is better not to take a process into a pilot if there is no client-side owner, no access to source data, no clear repetition, or no accountant willing to verify the result. In such conditions, AI automation will clash with organizational problems rather than remove manual work.

First step

Break down one accounting process in 30 minutes

30 minutes

Choose one pain point: source documents outside EDI, reconciliation statements, a report, statements, a payment calendar, or another repeatable process. In the first call, we assess manual work, data, the process owner, and the measurable result of the first project.