Document map
Types, fields, approvers, target systems.
Intake → data extraction → approval → archive in CRM/ERP. AI only where it pays off.
Enterprise document processing is a chain: receive file → recognize → extract fields → validate → approve → link to deal or order. Bober AI Systems automates each step with audit trail.
AI not always required: invoices and acts often need OCR + rules only. LLM for non-standard contracts, document classification and clause comparison.
OCR pipeline case: batch scan processing for accounting — minutes not hours. ELIA: CRM proposal generation — same workflow discipline, different output.
Approval routes: parallel/serial approvers, SLA, CEO/CFO escalation, Bitrix24 task integration. Documents do not die in inbox.
152-FZ and on-prem: RU storage, encryption, ACL. NDA standard.
Timeline 4–8 weeks. Budget from €4,000.
Types, fields, approvers, target systems.
OCR vendor + LLM fallback, schema validation.
States, notifications, reject/resubmit loops.
CRM attachment, 1C order, EDO export.
−70%
contract approval time
−90%
manual entry errors
minutes
batch scan processing

Документы обрабатываются пакетно за минуты вместо часов ручного ввода, снижается доля ошибок при переносе данных и ускоряется закрытие периода.
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−70% времени на согласование, полная история версий и решений.
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+32% конверсия quote→заказ
15 воркспейсов без пересечения данных. 87% техзапросов через автоматизацию, −40% нагрузки на SAV, +32% конверсия quote→заказ. ROI за 4 месяца.
View case study →Intake → data extraction → approval → archive in CRM/ERP. AI only where it pays off.