Artificial Intelligence in Accounting

What AI can do for an accountant

Much of an accountant's work is repetitive: processing source documents, reconciling with counterparties and the bank, moving data between spreadsheets, preparing explanations and letters. Generative AI helps speed up exactly this routine: recognising and structuring documents, writing a formula or macro, finding discrepancies, drafting notes to the financial statements. But AI does not know your company's accounting policy and can get a calculation or a rule wrong. That is why the course teaches you to work with AI so that every result can be verified and responsibility for the accounts stays with the accountant.

Which services we cover

The main tools are Russian services available without restrictions — GigaChat, YandexGPT (Alice) and other models — as well as document recognition services, including those in the 1C ecosystem. Foreign models (ChatGPT, Claude, Gemini and others) are discussed separately: their capabilities, access restrictions in Russia and the risks of transferring financial and personal data abroad.

Source documents and reconciliations

Participants learn to use AI to extract details and amounts from invoices, acts and delivery notes, check the mandatory details of a source document under Federal Law 402-FZ on Accounting, match bank statements against accounting data, prepare reconciliation statements and investigate discrepancies. We also cover how to organise sample checks so that recognition errors do not end up in the books.

Excel, spreadsheets and 1C

AI is a handy spreadsheet assistant: it suggests formulas, explains other people's files, helps build pivot tables, clean and merge exports and write a simple macro. We cover working with 1C exports: how to prepare data for analysis and what can and cannot be done with the database without a 1C developer. All techniques are practised on training files.

Financial statement analysis and tax questions

In the workshop, AI helps calculate and comment on financial ratios, prepare explanations for management, and draft replies to tax authority requests or letters to counterparties. Tax questions are a separate topic: AI is useful for initial research and framing a position, but the conclusion must always be checked against the Tax Code, letters of the Ministry of Finance and the Federal Tax Service, and a legal reference system.

Data security and responsibility

Accountants handle employees' personal data, trade secrets and tax information. We cover what must not be sent to external AI services, how to anonymise data, when a corporate service is needed and how to set out AI rules in the accounting department's internal regulations.

Format, certificate and enrolment

The course is 32 academic hours: instructor-led sessions, workshops on training data and a final project — an AI workflow for a task from your own work. Training is available online and in person; groups are formed according to the schedule, and corporate groups are possible for companies. After the final project, participants receive an HSE IPAA certificate. To enrol, submit a request on the website or contact us via the Contacts page.