Before asking AI about collections or uploading a contract, separate two questions. Which provider processes the request, under what policy? Which people inside the company can view that information or approve changes? A reassuring answer to the first does not settle the second. Privacy requires understanding external processing as well as your team's everyday access to company information.
No training and no retention are different commitments
No training and no storage are separate conditions. OpenRouter supports requiring zero-retention model requests. Ask about both when evaluating an assistant, and check which service the policy covers. A general statement about training does not answer every question about request handling.
Tario's published policy says model requests require zero-data-retention providers and that your data is not used for training. If no route meets that policy, the request is not sent to the model. Its routing code includes zero-retention and denied-data-collection preferences. This concerns AI processing; it does not mean every application record is deleted after a response.
Conversation history remains within your company in Tario, as its privacy page explains. That lets you return to earlier work. Do not confuse application history with retention by the model provider. Attachments and accounting records also remain part of the application. Ask about their controls and policies separately when your evaluation requires more detail than the model-processing commitment provides.
Hypothetical example: one accountant, two companies
An accountant works with North Company and South Company. North has a CRC 420,000 overdue balance to investigate; South has a different customer with a similar name. Before asking, she confirms that North is active and provides the customer identifier. This invented example does not describe an incident. It illustrates how ambiguous context can lead someone to direct a question to the wrong company.
Tario scopes information and memories by company, but users still need to verify where they are working. Asking to compare two businesses does not merge their records or grant new access. Review each authorized context as the task requires. When sharing the result, identify its origin and avoid copying an entire conversation if one verified fact is all the recipient needs.
Match the role to the actual job
Tario's team settings distinguish viewing modules from managing them. The assistant applies those permissions to its tools; a written request does not substitute for authorization. If someone only needs sales, review their access to banking, files, and reports instead of assigning a broad role because they will use AI. Actual capabilities matter more than the role's name.
- Review company membership and the modules each person can consult.
- Separate reading information from approving operations.
- Check whether shared conversations contain information the team does not need.
- Remove access when responsibilities change or a working relationship ends.
- Keep sensitive attachments out of requests that do not require them.
OWASP recommends least privilege and resource authorization controls. Its guide is a security reference, not a certification of Tario. For your team, the practical application is to grant access needed for the task and review it when responsibilities change. Opening the assistant does not imply that a person should have broad access to every area of the company.
Do not treat conversations as private notes nobody else will see. Tario's help documentation supports read-only access to team conversations according to permissions, while approving proposals depends on the relevant authority. Avoid adding unrelated details. For an issue requiring restricted access, first check who can view the context and whether the conversation is the appropriate channel.
Provide context, not credentials
Understanding a receipt usually requires an invoice and reference, not a bank password. Do not paste passwords, integration tokens, or personal credentials into standing instructions or conversations. If a task requires connecting an account, use the authorized integration flow. Keeping a secret in assistant memory does not create a secure mechanism for using that credential later.
For a demo or support inquiry, prepare an anonymized case retaining the relationships needed: invoice A, customer B, and an illustrative amount. Removing every identifier without preserving correspondence makes the case harder to understand. Copying a complete document unnecessarily shares too much. Define the question first, then provide only the context required to answer it.
Connected services need separate review
OpenRouter notes that zero-retention inference does not automatically cover external tools. Review other connected services separately. Before sending them documents, identify their task, access, and policies. A model-call commitment does not describe the entire data flow or every service used by your workflow.
Privacy and accuracy are also separate. A request can respect permissions while producing an answer that still needs verification. Check figures, filters, and records before deciding or approving a proposal. Access control determines who may act; content review determines whether the proposed action fits the case. Neither control makes the other unnecessary.
A short review before involving the team
Walk through representative cases for each role using the assistant: an allowed query, an operation requiring management authority, and a company outside that person's access. Use an authorized environment with test data. Sensitive real records are not necessary to understand the boundary. Note permissions that need adjustment before introducing conversations into routine work.
For North, the intended outcome is an explanation of the correct balance with supporting records in the authorized context. It needs neither South's data nor bank credentials. Finish by checking company, recipients, and approval permissions. When a policy is unclear, ask before sharing the file. A broad commercial promise is not a substitute for understanding which part of the data flow it covers.