OSNO-VA — AI accounting and a foundation for AI agents

Our AI product: management reporting for people and AI, automatic document posting, an AI accountant and corporate project memory in your GIT.

A KT.Team Productosno-va.comCloud / On-premise

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Product economics

An AI loop that scales an accounting service without linear hiring

$50M+revenue per accountant

−70%of manual routine removed from accounting

59sfrom a photo of an invoice to a posting in 1C

×Nportfolio growth without linear hiring

OSNO-VA changes the unit economics of an accounting service: AI agents take on routine work while the team serves more clients. The entry focus is AI accounting, but it is a foundation for AI agents: context, finances, documents and regulations become machine-readable and actionable.

Unified loop

Four product elements

Sloy — context in your GIT

Corporate memory: chats, meetings, files, Jira, Git and finances are turned into machine-readable context. Data for each project is stored in corporate GIT, split by project — each project in its own repository, with external repositories where needed.

Management reporting + MCP — reporting for people and AI

Financial memory: P&L, cash flow, cash-flow budget, projects, org structures, rules and breakdowns. MCP gives the AI agent machine access to finances — the manager gets an answer in real time, not a file at the end of the month.

Source documents — automatic document posting

Documents from Telegram, EDI, email and folders are recognized, enriched with client rules and Sloy context, and automatically created and posted in 1C. Disputed cases are routed to a human as exceptions.

AI accountant — agent loop

The agent handles routine execution: source documents, reconciliations, discipline control, reports, anomaly detection. The accountant works with exceptions and serves more clients without a proportional increase in headcount.

Real-time control

What the agent controls

Financial discipline: overdue items, payments without justification, amount outliers.
Plan-vs-actual deviations and their causes.
Cash-flow budget items, chart of accounts and classification errors.
Availability of source documents and month-end close risks.
A plain-language explanation to the manager in chat.

Not "adding AI," but changing the unit economics of an accounting service: more companies in the portfolio, less manual routine, higher quality control.

Contacts

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