Nothing to switch off: the model runs in your cloud.
A system that reads your customer evidence has to be answerable about where that data goes, who holds the model, and what it is allowed to do on its own. All three answers are structural here, not configurable.
Rented access is one policy away from ending. Owned AI isn't.
The model is open and you hold it. If a lab or a government cuts access, operations keep running.
Runs in your own cloud by default, a private cloud when regulated, or fully air-gapped.
The trained model belongs to the enterprise, so its IP never trains anyone else's model.
Rented access is one policy away from ending. Owned AI isn't.
What keeps it safe, day to day.
Your data stays in your systems
Wise reads from the tools you already run. It does not require you to migrate anything into it, and it does not need to become the system of record for anything.
Isolation per workspace
Each workspace has its own database schema, its own file storage and its own credentials. There is no shared pool of customer data and no cross-workspace read path.
Credentials belong to the workspace
Every connector is authorised by your workspace, stored against it, and revocable from it. Access is scoped to what a given integration actually needs.
A human gates every outward action
Messages, tickets and CRM changes are proposed, not sent. Pull requests are opened and explained, never merged. The approval step is structural - there is no configuration that removes it.
Everything is traceable
Each figure can be traced to the work behind it and each action to the evidence that prompted it. Nothing on a dashboard is asserted without a derivation.
The AI never produces a business number
Every figure on a dashboard is computed by code from the source systems. The model proposes and explains; it does not get to assert what the revenue is.
Privacy built to the GDPR, the CCPA and India's DPDP Act. Read the Privacy Policy for the detail.
See what your ARR number actually looks like
Connect your systems and Wise builds the picture from what is already there: the accounts at risk, the ones ready to grow, and what to do about each.