How It Works

From shadow AI to governed AI in four steps.

Every employee AI request flows through the gateway — identity-bound, policy-checked, logged, and routed to a centrally governed provider.

STEP 01
1

Connect identity

Integrate SSO / LDAP and map users, roles, and groups to your organizational identity. Permissions follow people, not tools.

SSO Identity mapping Roles & groups
STEP 02
2

Define policy

Set which models are allowed, what actions users can take, what content may be sent, and the budgets that apply — per user or group.

Model rules Data controls FinOps budgets
STEP 03
3

Route through the gateway

Employee requests pass through policy enforcement and sensitive-data controls, then route to an approved, centrally governed provider.

Policy enforcement Sensitive-data controls Approved model
STEP 04
4

Audit & govern

Every interaction is recorded and searchable — usage, model, policy decision, and outcome — ready for export, retention policy, and your SIEM.

Searchable audit Export & SIEM Reporting
The request path
WHO
Identity
Your directory verifies the user, role, and permissions.
WHAT
Policy
Allowed model, action, and budget are checked.
CONTENT
Controls
Sensitive data is detected and handled.
RECORD
Audit
The request is logged and routed to a provider.
Get started

Let your workforce use AI — on your terms.

See how Frame360 brings employee AI usage under policy, audit, and budget — in an environment you control.