AI accountant in your environment

AI accountant implementation costs from $1,800 excluding VAT.

We calculate the cost individually, taking your tasks, process complexity, required integrations, and deployment requirements into account.

We agree on the scope, timeline, and final cost before implementation; payment is due after acceptance.

We do not resell the model: you pay the provider directly for inference at its published rate.

We recommend CIS clouds compatible with GDPR —

Sber GigaChat or Alice AI in Yandex AI Studio.

For a company with 100 counterparties, primary documents, bank statements, and reconciliation statements use about 3.8 million tokens per month, costing approximately $11–1,460. Agents, accounting data, and the activity log remain in your environment, while an accountant confirms critical decisions. Get a personalized estimate, and see the agent in action in workspace demo.

We deploy agents, 1C and EDI integrations, an exception queue, and an activity log within your environment.

We recommend obtaining the language model itself via API from a CIS cloud:

Sber GigaChat processes requests in data centers in CIS, while the Alice AI LLM is available in Yandex AI Studio.

The provider sends you the token invoice in rubles.

We do not recommend dedicated GPU servers for a single accounting function: the basic on-prem setup alone requires at least $0 million in capital expenditure, while API inference for the same processes costs thousands of rubles per month.

If information security requires the model to run within the security perimeter, the cost of such deployment custom calculation.

We connect foreign models only through privacy gateway, which anonymizes personal data before sending it; compare models and prices in 2026 LLM review.

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

Manual work remains between these systems: some counterparties send documents by email, reconciliation statements must be requested and tracked, period-close statuses are kept in email threads, and reports require regular rework.

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

People download files, open emails, transfer data, remind counterparties, reconcile amounts, and manually track responses.

This is a catalog of candidates for a limited pilot.

The exact scope depends on systems, data quality, the number of variations, and control rules.

For a first rollout, source documents, bank statements, and reconciliation statements are usually the best fit: they have repeatable input, a verifiable outcome, and a clear exception queue.

The full product scope is described on the page AI assistant for accountants.