Challenge:

Employees struggled to find up-to-date information across scattered docs → leading to repeated queries and slow onboarding.

Solution:

Built a Retrieval-Augmented Generation (RAG) assistant ingesting internal content (Confluence, Drive, Wikis). It uses semantic search with embeddings, role-based access control, and delivers answers directly via Slack and API.

Impact:

• 75% reduction in repeated internal questions

• Faster access to critical information (policies, tech, HR)

• Enhanced onboarding and employee autonomy

Why It Matters for Stakeholders:

This case highlights operational efficiency and knowledge democratization—key wins for HR, IT, and Ops leaders.