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Context Graph

Most Companies Are Feeding Their Entire Business to OpenAI. Here's What They Should Build Instead.

A context graph. It's every piece of data that makes your company what it is. All structured so AI can actually use it.
Daniel Liebeskind

Daniel Liebeskind

Topia Consulting

Most companies are feeding their entire business to OpenAI. Every document, every customer interaction, every internal process, piped into a public model through a chat window.

Here's what they should build instead.

A context graph

It's every piece of data that makes your company what it is. Every email, process, customer interaction, employee relationship. All structured so AI can actually use it.

Not just dumped into a vector database. Actually mapped.

Your customers connected to their touchpoints. Your employees connected to their projects. Your tools connected to their outputs. When you're about to jump on a call, your context graph already knows: every interaction that prospect has had, who on your team knows them, what problems they've mentioned, what they've already tried.

Permissioned by design

The graph needs to be permissioned too. Different teams see different context, just like Slack channels. An agent for your sales rep only sees what that rep can access. Customer-facing processes only touch customer-relevant data. You get unified intelligence without breaking your security model.

The foundation for everything

This becomes the foundation everything else runs on. Your automation, your analytics, your agent swarm. The richer your context graph, the more powerful everything built on top becomes.

Building one? We're happy to share what we've learned.

Let's build your AI strategy together.

If you want to build a context graph that keeps your data under your control, we can show you how.

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