Give the whole team AI, and decide which AI

Most teams want everybody to have AI and nobody to have a surprise bill. Those two wishes fight each other the moment the only option is one vendor's flagship on every seat. In Profusia, the AI answers from what your team keeps here (the documents, the projects, the live tables), and an admin decides which models it may use, for whom, and how hard they may think.

What an admin controls

An approved-model list for the workspace. It filters the models Profusia offers, so approving never adds a model, and every model on it shows its published price.

The same list, narrowed for a group and narrowed again for a person. Select any number of groups and people and add or remove models for all of them in one move. A person can only ever have a subset of what their groups have, which is a subset of what the workspace has.

An effort range per model, for the models that can be asked to think harder. Hold everyday work to medium and grant high to the people whose questions warrant it.

Whether people see what each answer cost — for everyone, for a group, or for one person. When they do, every answer carries a line naming the model and the rough cost, which is the cheapest way I know to make a team economise.

What a person gets

A conversation drawer on every module — documents, projects, live data, audience — that reads what is in front of them and says which documents it read. If they have more than one approved model they pick one; if the model takes an effort they pick that too. A pick outside what they are allowed is refused, not swapped.

The same assistant they already pay for, if they have one. Claude, ChatGPT and other MCP clients connect to the workspace directly and do the publishing, filing and planning from the outside. The in-app AI is for the people reading; the connected assistant is for the person making.

What it is not

Not a benchmark. The page shows each model's published rates, a modelled cost for one everyday answer, what the workspace actually spent this month by model and by person, and a handful of computed recommendations. It also shows market prices from OpenRouter's public list, with links out to independent comparisons.

Not a way around Profusia's own choices. Profusia decides which providers are connected; the workspace decides who may use which of them. A workspace admin can't add a model Profusia hasn't connected.

Not a lock on your data. A model on a provider tier that may train on what it is sent is refused for a workspace that has not accepted that.

Which plan

The workspace-level approved list, the effort ceilings, the cost switch and the model picker are on every paid plan. Narrowing by group and by person starts with the Team size, because a one-person workspace has nobody to narrow. Members are per seat on Team and Business, so there is no ceiling to hit. How much in-app AI is included is the tier: Efficient for a team that connects the assistant it already has, Equipped for a real monthly allowance with nothing to manage.