Generative AI and RAG • Global
Enterprise Knowledge Assistant
A permission-aware knowledge assistant for policies, project notes, SOPs, and delivery guidance.
WorkflowTrusted internal knowledge access
ControlsCitations, permissions, and answer feedback
What changed
The assistant moved repeated knowledge questions into a searchable, cited, and permission-aware experience.
The admin-managed article body lets the case study evolve as evidence and approved details become available.
Admin-managed takeaways
- Control source ingestion.
- Respect permissions.
- Evaluate answers continuously.
Challenge
Teams were asking repeated questions and struggling to find trusted source material.
Solution
AI Loop created ingestion, retrieval, citation, feedback, and admin review flows.
Delivery approach
Content audit, RAG prototype, permission model, answer evaluation, and rollout playbook.
Architecture summary
RAG pipeline, vector search, source citation UI, answer evaluation set, analytics dashboard.
Integrations
- Google Drive
- Document storage
- Vector search
- LLM API
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