Your AI knows the internet. Does it know your business?

By Pawan Singh · 4 October 2026 · 2 min read

Illustration of policies, processes, GitHub and emails feeding into an open book labelled your approved business knowledge.

Ask an AI assistant to explain a concept or draft an email, and it does a decent job. Ask it “What’s our refund policy?” or “Why did we change that requirement last month?”, and it has no idea. It was trained on the internet, not on your business.

That’s the gap RAG closes.

What is RAG?

RAG (Retrieval-Augmented Generation) is like giving AI an open-book exam. Instead of answering from general knowledge, it first checks your approved documents, then answers using what it found. It can even show which document the answer came from, so your team can check it.

Comparison of AI without RAG, answering from general knowledge, and AI with RAG, checking your approved documents before answering.

One open book for a whole project

On larger projects, every role produces documents: the plan and decision log from the project manager, requirements and process maps from the business analyst, GitHub repositories and pull requests from engineering, test cases from testing, and experiment logs from data science.

Put them in one shared knowledge base, and the AI can answer questions that today mean chasing three people, like “Why did the checkout requirement change in sprint 6?”

Product, business analysis, engineering, testing and data science documents feeding into one shared project knowledge base.

Anyone can ask

Senior leaders can surface risks to the go-live date. Squad members can find answers in seconds. Other squads can check whether your changes affect their release. Everyone works from the same facts.

A senior leader, a squad member and another squad each asking the shared project knowledge base a question and getting answers with sources.

What it takes to get right

RAG is only as good as what you give it. Documents need to be current and consistent, people should only see answers from documents they’re allowed to access, and sensitive information like passwords in code needs to be screened out first.

That’s why the hardest part isn’t the technology. It’s deciding what goes into the book.

If your team spends too much time looking for answers, let’s have a conversation about what this could look like for your business.

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