Enterprise AI knowledge assistant for documents
Your documents answer questions
The agent reads contracts, policies, scans and ERP exports. It answers with a link to the clause, moves fields into your accounting system and writes a summary for management. Built around your process, on your own servers if needed.
Is your team buried in contracts, scans and hand-built reports?
Company knowledge is scattered across folders, inboxes and people’s heads. A lawyer opens forty contracts one by one to find the penalty clause. An accountant retypes invoice details from a scan. Every Friday two people stitch a report together from three spreadsheets. The agent takes over the reading and cross-checking, while people keep the decisions: every answer points to a document, every field to a spot on the page, every number to an export. An AI agent pilot starts at RUB 300,000; beyond that, cost is estimated by task and hours in a 1–2 day assessment. The first working version is usually ready in about a month.
Sound familiar?
- The answer is “somewhere in the policy”, and nobody can find it
- Accounting retypes invoices and acts from scans into 1C
- The CEO’s report gets stitched from three spreadsheets every Friday
- Contracts can’t go into public ChatGPT
What changes after launch
- Answers from your documents in seconds, citing the source clause
- Data from scans lands in 1C already checked, no retyping
- Management reads one page instead of five exports
Which of these is happening to you?
Pick the situation that hurts most. Next, we show how companies of your size solve it.
- Knowledge base for contracts and policiesDoes your team spend hours hunting for a clause in contracts and policies?An employee asks a question; the agent answers from your files and shows the clause it came from.
- Anyone finds the answer themselves without pinging legal or colleagues
- Every answer is checkable: the quote and clause link sit right next to it
- New hires learn from the actual policies, not from hearsay
- Document recognition and validationIs accounting still retyping invoice and act scans into 1C by hand?Scans and PDFs become fields, get checked against your rules and go to 1C, e-document exchange or XML.
- Staff review only doubtful fields instead of retyping whole documents
- Errors in requisites and totals get caught before posting, not after
- Strict formats like XML pass schema validation before they go out
- Management reportsDoes someone build the management report by hand from CRM, 1C and Excel?The agent pulls data from CRM, 1C and spreadsheets and has a summary ready by Monday: what changed and what’s off track.
- The summary arrives on schedule, and nobody loses a Friday to it
- Off-plan deviations show up the same week, not a month later
- Every number opens to the export it came from
Other areas
- AI for salesAgents that reply to leads, advise customers in chats, call your customer base and review every sales call.
- AI for customer serviceFront-line support and chat orders without queues or manual re-entry.
- AI for operations and back officeAgents sort the inbox, keep 1C and the CRM up to date and prepare product cards. People review and sign off.
Not sure where to start?
We will map your processes and show where an agent pays off fastest and where you do not need one. Estimate in 1–2 days.