Don’t start with your entire enterprise data lake.
Start here instead — 2 simple RAG use cases that deliver quick wins:

1. Company Policy Q&A
Take your employee handbook or policy docs.
Feed them into a Retrieval-Augmented Generation (RAG) pipeline.

Let employees ask questions in plain English.
- "Can I work a side job?"
- "What’s our maternity leave policy?"

No more digging through PDFs or outdated intranet sites.

2. Internal Tech Documentation
Engineers waste time trying to understand legacy systems.
Now imagine:
-> They can query your system architecture, data schemas, or integration docs instantly.

This works great for software engineers, data engineers, and even product managers.

💡 Bonus: Both of these use cases can run on a simple stack and be up in days — not months.

Start small.
Ship something simple.
Let your teams feel the benefit of GenAI before pitching a 6-month roadmap.

If you want help picking the right entry point for GenAI in your business — DM me.