Security & governance

Financial automation needs access boundaries and accountability.

Simple Tax AI is designed around controlled workspaces, role-based actions, source traceability, and visible approval states.

Control model

Protect data and constrain actions.

Financial workflows need both technical safeguards and operational controls.

Separate company workspaces

Limit financial data and documents to the right client or entity context.

Use role-based access

Give users only the visibility and actions required for their responsibilities.

Record material actions

Track edits, approvals, and posting-related decisions.

Retain source evidence

Keep financial records connected to the files that support them.

Review access over time

Remove unnecessary access as roles and engagements change.

Security principles

The controls the product architecture should continue to formalize.

01

Workspace isolation

Keep client and entity data separated by access boundaries.

02

Least privilege

Restrict sensitive actions to authorized roles.

03

Approval controls

Separate preparation, review, and posting permissions.

04

Audit history

Retain records of material changes and decisions.

05

Secure sessions

Use protected authentication and session handling.

06

Data governance

Define retention, backup, incident, and vendor-management practices.

Expected outcome

Clearer accountability around financial data.

Users can understand where information is stored, who can act on it, and how a material accounting result was approved.

This local page establishes the security narrative. Before public launch, each claim should be matched to documented technical controls and operating policies.

See where controlled AI bookkeeping fits your close.

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