Why RestrictAIChat

Make governed AI the workspace people choose.

One employee-ready chat brings together model choice, company policy, audit evidence, and shared AI economics.

Our position

Easy for employees. Clear for leaders.

Employees ask naturally in a familiar workspace while administrators see policy, routing, usage, and savings in the same request path.

  1. Policy defaults

    Applied before every provider call

  2. Governed workspace

    One place employees work

  3. Approved models

    Chosen per tenant and group

  4. Spend limits

    Shared capacity per seat

  5. Audit evidence

    Recorded after every decision

Dark diagram of a workspace core connected to approved models, spend limit, policy default, and audit controls. Model catalogue applied per group Spend measured against the pool Every decision appended to audit

How we build

Product principles you can see in practice

These choices shape what employees and administrators experience every day.

  1. Give employees one familiar workspace

    Familiar chat layouts, direct model choice, Auto routing, and fast Multi-model answers keep work together in one governed workspace.

  2. Protect data before it leaves

    Apply policy before an approved provider call, with actions that include flagging, redaction, warning, blocking, and approval.

  3. Optimize shared team resources

    Pool capacity across seats, carry unused resources through eight-hour windows, and adapt routing automatically as demand changes.

  4. Make every outcome visible

    Keep policy evidence, routing results, usage, and recorded savings clear for workspace leaders.

  5. Keep your team in control

    Choose providers, models, access, retention, and policy without adding complexity to the employee chat experience.