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The questions behind company memory.
Last updated 25 October 2026 · Mert Uzun, co-founder
What is a company memory for AI agents?
A company memory for AI agents is one organized record of everything a company knows: its decisions, documents, conversations and history, kept current from the tools where work happens. Every AI agent people use asks it, and each person gets answers drawn only from what they can already access at work, each with its source.
What is permission-aware retrieval?
Permission-aware retrieval means an AI agent can only answer from information the person asking is allowed to see. Each person's access is checked, tool by tool, before anything reaches the model, so two people asking the same question get different answers, each limited to their own access at work.
What are ethical walls for AI?
Ethical walls for AI are barriers that stop an AI agent from using information across a line the company has drawn, such as between two client matters or between deal teams and research. The wall holds in every agent: for anyone on the wrong side, the walled information behaves as if it does not exist.
What is shadow AI, and what does it cost?
Shadow AI is the use of AI tools at work without the company's approval or oversight: personal chatbot accounts, unapproved agents, company data pasted into tools nobody reviewed. It costs money when that data leaks, and it costs control, because the company cannot see what its own information is feeding.
What is an MCP server for company data?
An MCP server for company data is a connection point that lets AI agents ask questions of a company's own information. MCP, the Model Context Protocol, is an open standard most major agents support. One server gives Claude, ChatGPT, Copilot, Cursor and others the same company knowledge, without building a separate connection for each.
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