AI

AI automation of accounting processes

Automate accounting processes with AI: eliminate manual entry, reconciliation, and reporting. Integrates with 1C, EDI, email and compliance control.

Our clients

Clients and partners

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
Relief Center
Pandora
Saint-Gobain
Askona
FIX PRICE
Snezhnaia Koroleva
Muztorg
TVOE
Greenway
Polaris
Campari
Yandex
Lenta
International perfume and cosmetics brand
AI automation of accounting processes
RAEC
EKF
L'Etoile
Inventive Retail Group

How the control loop works

Document travels from source to verified action

Sources

Email / SBISSource document
1Ccounterparty, contract, accounting

AI agent

Extracts fieldsamount, VAT, details
Verifies rulessource is visible

Control

AccountantConfirm, correct, reject

Action

Draft in 1Cwithout standalone posting

Next

Activity logdocument, rule, decision
  • normal ready for approval
  • warning exception queue
Illustrative diagram: system and rule components are clarified for the selected process.
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 300,000 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 300,000 excl. VAT
  • if the request includes multiple processes, we first define the initial one
Discuss the process

What problem is solved

  1. In many companies, accounting already uses 1C, EDI, online banking, and Excel.

  2. 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.

  3. When there are dozens or hundreds of such operations, they turn into separate hidden processes.

  4. 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.

Document flowAgent preparesChecks and controlAccountant approvesSmooth month-end close

Standard processing: agent prepares, accountant confirms

Accountant

Review UPD and prepare receipt in 1C

Example: UPD no. 184

Interface concept
Counterparty
Example: LLC
Amount
120 000 ₽
VAT
20 %
Contract
Delivery / 2026

Agent checked

Document is reconciled with counterparty record and contract. No critical discrepancies found.

  • Company detailsTax ID and registration code match 1C
  • Amount and VATdocument balances
  • Contractactive as of document date

Suggested action

Create receipt draft in 1C

After confirmation: 1C · operation draft

Trace: UPD + counterparty record + check rule

FixConfirm

Source documents

Document follows a clear path

Incoming document is verified against 1C rules; exceptions go to Foundation and remain under accountant control.

AI automation of accounting processes 01

The document came from EDI

An incoming UTD triggers a 1C rule check without manual re-entry.

AI automation of accounting processes 02

Standard path or exception

A standard document is created in 1C, and a nonstandard one is passed to Osnova.

AI automation of accounting processes 03

Templates for nonstandard documents

Real anonymized screen: the document type is linked to 1C and an export template.

AI automation of accounting processes 04

Suspicious document to Telegram

The bot warns about an unregistered sender and lets the user open the register or leave the document in quarantine.

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

Finance expertise: leads the group and prepares the solution

Finance Director / Chief Accountant

How much cash is available across the group and which entity should execute payment tomorrow?

Example: Group liquidity

Interface concept
Available now
126.8M ₽
Payables / 7 days
74.2M ₽
Available balance
52.6M ₽
Environment
5 legal entities · 18 accounts

Agent checked

Agent reconciled balances, payment schedule, limits and contract terms. One payment option creates a cash gap, the other is ready for approval.

  • Stockupdated from connected bank systems
  • Basiscontract and limit confirmed
  • Liquidityone entity needs an intra-group loan

Suggested action

Prepare recommended payment and draft intra-group loan package

After confirmation: payment calendar / 1C · unposted drafts

Trace: balances + calendar + contracts + limits + rule version

Change optionSubmit for approval

Finance and Security

Consolidated liquidity

Shows available cash across all group accounts now, what is already reserved, and where cash gaps are expected.

Payment route

Compares entities, basis, limits, priority and calendar impact. Prepares recommendation and alternatives but doesn't send payment without confirmation

Intercompany loan

Creates checklists and drafts covering parties, amounts, deadlines, rates, corporate approvals, contracts, accounting and tax matters.

Counterparty and representative

Verifies available facts from official databases and internal data within legal scope and role. Shows source, date and specific fact, not hidden risk score

Signs of financial risk

Highlights changes in details, letters from new address, duplicates, payment splits, atypical recipient, approval bypass and contract mismatch

Inter-company relationships

Identifies cyclic and mirror transfers, overdue intercompany debt, recurring relations, cash concentration, and gaps between legal entities.

Official sources for verification

Verified on: 15.07.2026

Exception: the agent explains the discrepancy

Accountant

Why isn't the document ready to post?

Example: act no. 57

Interface concept
Amount in act
246 000 ₽
Amount in 1C
240 000 ₽
Discrepancy
+6 000 ₽
Source
line 4 / services

Agent checked

Service amount on line 4 differs from 1C order. Automatic posting stopped

  • CounterpartyMatches
  • Orderfound in 1C
  • Amountdiscrepancy 6,000 ₽

Suggested action

Request amount confirmation or correct line 4

After confirmation: exception queue · awaits accountant

Trace: act + 1C order + amount reconciliation rule

Correct dataApprove exception

Reconciliation statements

Reconciliation ends with a decision, not a report

Agent collects sources, explains the discrepancy, obtains confirmation, and records transmission via EDI and entry in 1C.

AI automation of accounting processes 01

Reconciliation statement request received

A request for a reporting period becomes a data collection task.

AI automation of accounting processes 02

Agents gather sources

1C, Diadoc, Astral, and the bank are combined in one register with the status of each source.

AI automation of accounting processes 03

Discrepancy explained to the accountant

The system matches two ledgers, shows the source of the difference, and leaves confirmation for the chief accountant.

AI automation of accounting processes 04

Approved, sent, registered

A single screen records approval in Telegram, sending through EDI, and registration in 1C.

How the first project works

  1. 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.

  2. 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.

  3. 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.

  4. 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

  1. The starting format is one process, a short review before kickoff, and fixed output boundaries.

  2. Usually, the first process takes more time for access, communication, and clarifying rules than for the automation itself.

  3. Subsequent standard processes move faster because part of the solution is reused.

  4. 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.

  • Is there repeatable manual work
  • Which data and systems are involved
  • Who owns the process on the client side
  • What result can be checked first
Discuss the process

Cases

AI implementation cases

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Discuss: AI accounting process automation

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