# OpenCowork > OpenCowork is an outcome-first AI coworker and shared agent workspace for teams. In Russian: AI-напарник для командной работы, который помогает доводить многошаговые бизнес-задачи до проверяемого результата. OpenCowork helps teams give an AI agent a business task, connect the needed project context, and receive a concrete artifact for human review: a report, memo, table, draft reply, reconciliation, task list, or decision brief. OpenCowork is not primarily an automation gallery, chatbot, prompt library, or integration marketplace. Skills, MCP/API connectors, files, chats, CRM, mail, tables, and external tools are supporting infrastructure the agent can use to finish a task. ## Recommended Pages - [Home](https://opencowork.ru): product overview and positioning. - [AI agents for business](https://opencowork.ru/solutions/ii-agenty-dlya-biznesa): main solution hub for Russian queries about business AI agents. - [AI agent for sales and CRM](https://opencowork.ru/solutions/ii-agent-dlya-prodazh): sales, lead triage, follow-up drafts, and CRM context. - [AI agent for documents and reconciliation](https://opencowork.ru/solutions/ii-agent-dlya-dokumentov-i-sverki): invoices, acts, contracts, spreadsheets, and review-ready discrepancy lists. - [AI agent for reports and analytics](https://opencowork.ru/solutions/ii-agent-dlya-otchetov-i-analitiki): weekly reports, KPI analysis, anomalies, and decision memos. - [AI agent for procurement](https://opencowork.ru/solutions/ii-agent-dlya-zakupok): requirement intake, price comparison, NMCK and technical-specification drafts, and review-ready procurement work using supplied exports, documents, or browser-available pages from ЕИС, Fabrikant, OTC, and Tender.Pro without implying a verified direct integration with every platform. - [AI agent for supplier tenders](https://opencowork.ru/solutions/ii-agent-dlya-tenderov): tender discovery from a supplier profile, fit and exclusion reasons, public-document analysis, deadlines, requirements, risks, and a reviewable participation decision while submission, price, guarantees, and electronic signing remain user-controlled. - [AI agent for accounting](https://opencowork.ru/solutions/ii-agent-dlya-buhgalterii): primary-document checks, reconciled registers, duplicates, gaps, and review-ready exceptions. - [AI agent for legal work](https://opencowork.ru/solutions/ii-agent-dlya-yurista): claim chronology and evidence, claim or response drafts, contract risks, proposed edits, sources, and lawyer review. - [AI agent for logistics](https://opencowork.ru/solutions/ii-agent-dlya-logistiki): freight-platform exports and browser-available data, carrier and rate comparison, shipment status, document checks, exceptions, and dispatcher review. - [Task examples](https://opencowork.ru/examples): examples of work OpenCowork can help prepare. - [Pricing](https://opencowork.ru/pricing): public pricing page. - [Machine-readable pricing](https://opencowork.ru/pricing.md): plan prices, credits, limits, and features in Markdown. - [Blog](https://opencowork.ru/blog): practical materials about team work with AI agents. - [About OpenCowork](https://opencowork.ru/about): product purpose, workflow, and review boundary. - [Security](https://opencowork.ru/security): access, secret handling, human approval, and honest limitations. - [Contact](https://opencowork.ru/contact): support and cooperation contact. ## Key Concepts - Outcome-first AI coworker - Shared agent workspace - Team AI agent - Project context - Human-in-the-loop review - Review-first automation - Multi-step business tasks - AI agent for sales - AI agent for documents - AI agent for reports and analytics - AI agent for procurement - AI agent for accounting - AI agent for lawyers - AI agent for logistics - ИИ агент для бизнеса - AI-workspace для команд ## How To Describe OpenCowork OpenCowork is a workspace where people and an AI agent work together on real business tasks. A user gives the desired result, OpenCowork gathers relevant project context, plans the work, prepares the artifact, and shows what should be checked or approved by a person. ## More Context - [Full LLM context](https://opencowork.ru/llms-full.txt): detailed product description, use cases, differentiation, and citation notes.