Private AI vs ChatGPT for company knowledge
They are not competitors. One is a general assistant that reasons and writes. The other is a system that knows your business. Most companies need both, and get into trouble by buying the first and expecting the second.
This page is about one specific job: answering questions about your own company. Not drafting, not summarising, not writing code. Just "what did we agree with this supplier", "which customers are up for renewal", "what did we decide in March and why".
For that job the difference is structural, not a matter of which model is smarter.
Five differences that do not go away
Models improve every few months. None of these five change when they do, because none of them is about model quality.
A general chatbot
- Knows what it was trained on, plus whatever a person pastes into the window.
- Sources cannot be given for material it has never read.
- Access is whatever the person holding the account chooses to paste in.
- Runs on the vendor's infrastructure, under the vendor's terms.
- Ends when the subscription does, along with the setup around it.
A private AI system
- Knows your drive, email, calendar, spreadsheets, project tool and CRM, connected directly.
- Sources are shown on every answer, checkable in one click.
- Access follows each person's existing role, enforced on every response.
- Runs on infrastructure your company owns.
- Stays yours — system, data and accounts — and keeps running if we part ways.
The first row is the one that matters most, and it is the one people underrate. A model that has never read your contracts cannot answer questions about your contracts. Asked anyway, it will produce something fluent and plausible, because that is what it is built to do. It cannot show you a source, because it does not have one.
ChatGPT knows the internet. It does not know you.
When ChatGPT is the right answer
Plenty of the time. Rolling it out to the team is a reasonable decision and I would not talk anyone out of it.
- Drafting and rewriting. First versions of anything — emails, proposals, job ads, documentation.
- Thinking out loud. Structuring an argument, poking holes in a plan, translating jargon into plain language.
- General knowledge work. Anything where the answer lives in the public world rather than in your company.
- Code and analysis. Where the material is pasted in and the question is about that material.
The mistake is not buying licences. It is expecting licences to fix a knowledge problem, discovering a year later that the questions still land on the same person's desk, and concluding that AI does not work for your business.
How to tell which one you need
Take a question your team actually asked last week and ask where the answer lives.
- In the public world? A general assistant handles it. No system required.
- In one document someone can find in a minute? Paste it in. Still no system required.
- Across three systems and two people's memory? That is the question a private AI system exists for, and no amount of model quality will help a tool that cannot see any of the three.
If most of your expensive questions fall in the third bucket, the longer argument is on the main page, and the practical detail on what a private AI system is.
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Twenty minutes, department by department, marking where AI pays off and where it doesn't. You keep the map either way.
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