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Many teams got into AI the same way. Someone bought a few seats on a company card, pasted the password into a chat, and the whole team took turns. It works for a month. Then it starts to cost you in ways the invoice never shows.
The setup most teams have
Picture a 30-person company. Five people have Claude Max seats. Two share a ChatGPT Pro plan. There is a Gemini plan that one person set up and everyone else borrows. The logins live in a password manager, a pinned message, or a sticky note. Nobody planned it this way. It is just what happened when the team moved faster than procurement.
The monthly bill is small and predictable, which is why it survives. The real costs are elsewhere.
Cost one: no confidentiality
A shared login has one chat history. Everyone who signs in sees everyone else's conversations. That history now contains client code, draft contracts, salary spreadsheets, customer complaints and whatever a colleague pasted in at eleven at night. Ten people know the password, so ten people can read all of it.
This is not a theoretical risk. It is the default behavior of a shared account. Nothing has to go wrong for the exposure to exist; it exists the moment the second person signs in.
Cost two: no line between work and personal
When a plan belongs to "the team," it belongs to nobody. Anyone can run a side project on it, help a friend with a cover letter, or build a weekend app. There is no way to tell company use from personal use because it all arrives under the same name.
Most of the time this is harmless. But the day you need to answer "who used the company AI account for what," you will not be able to.
Cost three: no control when it runs out
Consumer plans come with usage limits that reset on a schedule. One heavy user, one long agent run, one big refactor, and the limit is gone by Wednesday. The rest of the team is locked out until it resets. There is nothing to cap and nothing to reassign. You cannot give a quiet week's allowance from one person to the person who is shipping on Friday.
So teams buy more seats. The bill climbs, and the lockouts keep happening, because the problem was never the number of seats. It was that nobody had their own allowance.
Cost four: no record
Shared logins produce no useful audit trail. When someone leaves, they still know the password, and you may or may not remember to rotate it. When something leaks, there is no log that says who sent which request on which day. The account's history shows a long list of chats with no owner.
Ask yourself a simple question: if a client asked you tomorrow who on your team had access to their data through an AI tool, could you answer in under an hour? With a shared login, the honest answer is "everyone who has ever had the password."
Cost five: it breaks the terms you signed
Consumer plans are licensed to one person, and both Anthropic and OpenAI say so in their published terms. Sharing a plan across a team is the kind of thing that gets accounts suspended, and a suspended account takes its chat history with it.
We quote the exact wording, with links to the documents, in a separate post.
What the fix looks like
The fix is not "buy more seats." It is to change what a person holds. Instead of a password that opens a shared account, each person gets a key of their own, issued on top of API and Team accounts that your company owns.
- One key per person, so chats and requests belong to the person who made them.
- A budget and a hard cap on every key, so one heavy week cannot lock out the rest of the team.
- A log of who used which model, how many tokens and what it cost. Prompt bodies stay out of the log unless you switch that on.
- Revoke one key in one click when someone leaves. Nobody else notices.
That is what Proxen does. The tools your team already uses, Claude Code, Codex, Cursor and your own scripts, keep working. They simply point at one address instead of five logins. If that sounds like your situation, get a free AI bill review and we will map your current logins to a per-person setup and show you what the same work should cost.
