We want to connect an internal AI assistant to our company Google Drive so our team can search our files, but we have ten years of outdated PDFs, old client folders, and conflicting SOPs. How do we clean up this operational data wilderness before we turn the AI on?

Question

Tyler Smith · Accepted Answer

Do not start a massive manual cleanup project that will derail your team for months. Instead, treat this as an operational mapping exercise aligned with your Accountability Chart. Every seat on your Accountability Chart owns specific processes and the files that support them. Start by identifying your core processes as defined by the EOS Three Step Process. Identify the folder or directory associated with each of these core processes. Instead of cleaning your entire historical archive, create a single new directory called the Golden Source. Instruct each process owner to move only the active, current, and approved standard operating procedures and templates into this folder. This acts as your clean repository. Connect your AI agent or internal assistant exclusively to this Golden Source directory. Block the AI from accessing your historical archives entirely. This keeps your data clean, restricts the AI to current operational truths, and prevents hallucinations based on outdated pricing sheets or retired policies. By limiting the AI scope to your Golden Source, you bypass the need for a multi-month database cleanup and ensure your team gets highly accurate, reliable assistance from day one.