Audit & ROI
We map the current process, loss points, and calculate impact before development starts.
Business automation
Corporate knowledge base with AI
Search company policies and documents with answers in employee language — fewer “ask a colleague” loops.
A knowledge base is not “upload PDFs to a chat”. You need owners, fresh versions, and cited answers.
We build search/RAG in your environment with links back to policies.
That reduces expert load and speeds onboarding.
Typical problems
- Knowledge is scattered across chats, Notion, folders and people
- New hires spend weeks learning “how we do things”
- Repeat questions flood manager chats
- Documents go stale without version ownership
What you get
- Document and policy indexing
- Search with source citations
- Assistant in Telegram / portal / website
- Knowledge ownership and update process
How we solve it
Architecture & integrations
We design workflow, CRM/ERP/API links, and an AI layer only where it delivers measurable value.
Delivery & handover
Production launch, documentation, team training, and optional SLA support.
Typical impact
−40–80%
manual work in the target process
2–8 wks
to first production release
3–6 mo
payback on a typical project
Package
AI implementation
Architecture, LLM integration, CRM/messenger connectors, production deployment, and team handover.
Service details
FAQ
- How is this different from ChatGPT?
- Answers come from your documents in your environment — not the open internet.
- Which formats?
- PDF, DOCX, Notion, Confluence, Google Docs, Wiki — based on audit.
- Is RAG always required?
- No. Sometimes structured search is enough. RAG helps when you need conversational answers.
Related solutions
Contact
Discuss your project
Describe the process or integration — we reply within 4 business hours.