RAG · Knowledge Systems

Enterprise AI knowledge assistant

Making organizational knowledge easier to discover and use through retrieval-based AI.

Role: Product ownership · Applied AI

The challenge

Useful company knowledge is often spread across many documents and places, which makes it slow to find and easy to miss.

My contribution

I worked on the product side of an AI assistant built on retrieval-based approaches: what it should do, for whom, and how its answers could be tested and improved.

Approach

Start from the real questions people ask, ground answers in the organization’s own content, evaluate responses systematically and keep the experience simple.

What I learned

Retrieval-based AI is as much a content and trust challenge as a technical one.

Details are intentionally high-level to respect the confidentiality of the teams and organizations involved.

Next caseEnterprise workflow modernization

Let’s connect

Let’s build something meaningful.

I’m always interested in thoughtful conversations about product leadership, applied AI, technology-driven transformation and opportunities where I can make a meaningful contribution.

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