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Invite your staff into an environment organised around what they need.
Use AI across your teams without multiplying workspaces. Your knowledge stays organised, the models adapt to the tasks.
Writing, summarising, exploring documents: compare the results and choose on quality, cost and processing requirements.
Local models may also be offered, depending on your configuration. The list available changes over time.

Shadow AI is the AI use that grows outside the framework the organisation intended. A shared space has to come with rules people can understand.
Invite your staff into an environment organised around what they need.
Match each type of data to a configuration and a level of confidentiality.
Explain what may be given to the AI and what requires approval.
The plans include a volume of credits. Usage depends on the model and on the work requested, among other things. Top-ups and any options have to be built into the budget.
The plans shown are organised by number of bases and include a set number of users. See the ceilings for each plan and the options on the Pricing page.
No. Where the processing happens and under what terms depends on the model. For sensitive data, you have to choose and check a suitable configuration across the whole path.
You can use the available models to look at different answers to the same task. Check the results on questions and criteria that represent your own work.
Let us start from your data, your teams and a first concrete need.