Knowledge OS Case Study | Operations Automation
Back to Case StudiesKnowledge & Process OS with RAG
Centralized platform for SOPs, process execution, employee onboarding, and AI-powered knowledge retrieval.
This Operations AI automation case study explores Knowledge & Process OS with RAG. Tags: Operations, AI Implementation, Document Processing, Workflow Automation, OpenAI, Retool, AI Automation.
-50%
Onboarding Time
3 weeks → 3 days
SOP Update Cycle
+30%
Process Adherence
Overview
A multinational services organization needed a centralized platform for SOPs, process execution, employee onboarding, and knowledge retrieval across multiple regions. The system reduced onboarding time by 50% and centralized institutional knowledge.
Challenges
SOPs scattered in PDFs and drives
Inconsistent process execution
Onboarding required 1-on-1 training
No version control for procedures
Knowledge loss across departments
What We Delivered
RAG knowledge engine with document ingestion and classification
Semantic indexing in vector store
Step-by-step guided process execution with dynamic branching
SOP versioning and audit trail
AI assistance for process explanations and policy clarifications
Multi-region knowledge segmentation
Tech Stack
Python ingestion services, Node.js backend, PostgreSQL, Pinecone/AstraDB, Next.js, Azure AD
Tags
Results
-50%
Onboarding Time
3 weeks → 3 days
SOP Update Cycle
+30%
Process Adherence
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