There are three ways to connect ChatGPT to your company's data: upload files into a chat, use ChatGPT's built-in connectors and Company Knowledge, or put a governed context layer between ChatGPT and your sources over MCP. The first is per-chat and ungoverned; the second is convenient but lives inside OpenAI; the third keeps your data in your control and works across every AI client, not just ChatGPT.
The three options, briefly
- File upload. Drop a document into a chat. Fine for one question; the context is gone next session and nobody's governing what was shared.
- Company Knowledge / connectors. ChatGPT can connect to tools like Google Drive and surface company answers. Convenient — but your knowledge and its governance live inside OpenAI, and it only helps inside ChatGPT.
- A context layer over MCP. A service holds your company's knowledge and serves it to ChatGPT — and to Claude, Cursor, or any MCP client — with citations and permissions you control.
The governance gap most teams miss
The hard part isn't getting data into ChatGPT — it's controlling what it can see and proving what it saw. Upload-and-chat and one-off connectors give you neither: no sensitivity filtering, no citation you can trust, no record of what was retrieved.
- Sensitivity. Restricted documents should be excluded from retrieval by classification — not left to whoever pastes them.
- Citations. Every answer should point back to its source, so you can tell fact from improvisation.
- Audit. You should be able to show who asked, what was read, and what came back.
- Data residency. For South African firms, where ChatGPT processes the data matters under POPIA — see our POPIA guide.
Why a layer beats wiring each tool up separately
Connect your knowledge once to a layer, and every AI client reads from the same governed source. Wire it into ChatGPT alone, and you'll do it all again for the next tool your team adopts — with the governance fragmented across each.
OpsBlox is that layer. It connects Notion, Google Drive, and email, structures and governs the knowledge, and serves it over MCP — to ChatGPT as it ships MCP support, and to Claude and Cursor today. One clean, permission-aware source of truth, hosted in South Africa or on your own box.
Common questions
Does ChatGPT support MCP yet?+
MCP support is rolling out across the AI ecosystem. Claude Desktop and Claude Code support it today; ChatGPT and Cursor connect the same way as they ship support. Because OpsBlox is MCP-native, the day your client supports it, your governed company context is already there — no rebuild.
Is ChatGPT's Company Knowledge enough on its own?+
It's useful for surfacing answers inside ChatGPT, but your knowledge and governance then live inside OpenAI, and it doesn't help the other AI tools your team uses. A context layer keeps control on your side and serves every client from one source.
Can I keep my company data out of OpenAI's hands?+
Yes. With a context layer like OpsBlox, your documents stay in your isolated tenancy (hosted in South Africa) or on your on-prem box. ChatGPT only receives the specific, permission-checked context a question needs — and no model trains on your data.