TL;DR: Google Drive syncs your files. Git documents your history so your AI can query it. Starting fresh? Use Git. Already in Google Drive? Migrate when the pain of not having history outweighs the effort.
The first decision you make
Before you migrate anything, you need to answer one question: where do your company files live?
Most teams default to a cloud file sync service — Google Drive, Dropbox, Nextcloud, or SharePoint. Files appear on every device automatically. It feels like the obvious choice.
It’s not.
Google Drive (and Dropbox, Nextcloud, SharePoint): the convenience trap
Cloud file sync platforms — Google Drive, Dropbox, Nextcloud, SharePoint — solve one problem well: getting files onto every device. Save on your laptop, it appears on your phone. No thinking required.
Here’s what they don’t do well:
- History. Version history exists, but it’s buried. Finding who changed what and why takes clicking through a clunky UI.
- Context. No commit messages. You see the latest version. You never know why it changed. (A commit is a saved snapshot of changes with a note describing what and why — Git’s version of a diary entry.)
- AI access. No CLI (command-line interface — a text-based way to interact with software that AI is fluent with). Your AI agent can only see the latest snapshot, not the story behind it.
- Conflict resolution. Two people edit the same file? Manual merge headache.
Commit messages are your company’s diary. Google Drive gives you blank pages.
Git: the intentional alternative
Git is a version control system. It tracks every change to every file, along with a message about what changed and why (a commit message). Git stores everything in a repository — the central folder that holds all your files and every change ever made to them. It was built for software teams, but it works for any text-based file — Markdown docs, SOPs, contracts, meeting notes.
- Full history. Every change is tracked. Who edited what, when, and why. No ambiguity.
- Commit messages. Each change comes with a note. Your company’s decision log, embedded in the files.
- AI-readable. Git has a CLI. Your AI agent can answer “show me everything that changed in the SOPs folder this week” or “who wrote this paragraph?” in seconds.
- Conflict resolution. Two people edit the same file? Git flags it. Your AI can merge with context, not guesswork.
Git LFS (Large File Storage — an extension for binary files like images and PDFs) handles the large non-text files. Not as seamless as cloud sync, but workable.
A note on Git vs GitHub: Git is the engine. GitHub, GitLab, and Forgejo are services that host your repository online so your team can share it. They are not needed strictly speaking - you have a Git repository without those services, but, well, backup your work! You don’t need GitHub. Run your own server with Forgejo or GitLab and keep everything on your own infrastructure.
If you choose Git, learn the daily loop
This article is the decision, the operating manual is separate. There is a learning curve. A small one, but still.
Read Git Essentials for Company Files for the basic cycle, merge conflicts, business-readable commit messages, and the AI command that can commit and push for you, so you don’t have to, ever.
When Git wins
Use Git when:
- Your team can learn the basics. Commit, push, pull. Three words. That’s the learning curve. The rest can be dealt with on the go, with the help of the AI.
- You work with text. Markdown, plain text, CSVs. Git handles these perfectly.
- AI readiness is a priority. You want your AI to query your company history, not just the latest snapshot.
- You need an audit trail. Who changed what, when, and why. Immutable record.
- You want your infrastructure to remain light and avoid complex systems like RAG or memory layers inside your folders.
When Nextcloud or Google Drive wins
Use cloud file sync when:
- Your team can’t learn Git. It happens. Not everyone thinks in versioned commits.
- You work mostly with binary files. Large spreadsheets (with macros), images, video. Cloud sync handles these natively.
- You need zero training. Drag and drop. That’s the interface.
- AI readiness doesn’t matter. You’re not building an AI-native operation.
The verdict
Git is the right choice if you can train your team. The discipline cost is real — every change needs a commit and a push — but the payoff is a searchable, queryable company history your AI can use as a second brain.
The fix for the discipline problem: automation. A scheduled agent can review, commit, and push for the team. The discipline cost drops to near zero.
Cloud sync is the safe default. It works. It’s familiar. But it’s a ceiling — you can’t go beyond what the UI offers.
Start with Git. If the training doesn’t stick, fall back to cloud sync. But try Git first. Your AI will thank you.
What’s next
Storage is sorted. Now pick your AI tool: Run your AI Agents.
Your data. Your rules. Let’s write it that way. By Charles Henri Gayot.