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Case study | Generative AI
DocuFlow — Operations Knowledge Copilot
Answers From the Manuals Staff Already Trust
01
Overview
An operations company drowned in PDFs, SOPs, and tribal Slack answers. Suraket built a generative knowledge copilot that retrieves only from approved sources, cites them, and stops when evidence is thin.
Time to find a procedure cut by
62%
Uncited answers blocked
100% of policy
SOP tickets to the expert team down
38%
02
Challenge
New hires asked the same questions every week. Experts answered in chat. Official SOPs were out of date in one folder and current in another. A public chatbot was proposed. That would have invented policy.
03
Solution
Suraket indexed the approved corpus, designed refusal when retrieval is weak, and placed the copilot inside the tool staff already open. Every answer shows sources. Policy-changing questions route to a human. A monthly review drops dead documents from the index.
Customer
Multi-country Operations Company
Industry
Generative AI
Services delivered
Generative AI Development
RAG Architecture
UI inside existing tools
Evaluation on real questions
Access control
Ongoing corpus hygiene
Built with
RAG · Python · React inside the operations workbench
04
The results
62%
faster procedure lookup
✓
Citations required on every answer
38%
fewer repeat tickets to experts
✓
Index limited to approved documents only
05
Services delivered
Generative AI Development
RAG Architecture
UI inside existing tools
Evaluation on real questions
Access control
Ongoing corpus hygiene
06
Technology stack
Artificial Intelligence
RAGEmbeddingsRefusal rulesEvaluation set
Backend
PythonFastAPIVector store
Frontend
React inside the operations workbench
Security
SSODocument ACLs
Customer
Multi-country Operations Company
Generative AI that answers from the manual — and stays quiet when the manual is missing.
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