Access control for AI-assisted work that still needs real boundaries

Use Clous access controls to define who can see data, trigger workflows, approve actions, or operate sensitive processes across the platform.

Built for teams running access control at scale

Built for real operating constraints

AI workflows break down quickly when everyone can see everything or trigger anything.

Control access to sensitive workflows and data

Limit actions based on role, team, or ownership

Keep governance attached to everyday execution

What access control covers

Practical controls for teams running sensitive work.

Role-based permissions

Set access boundaries around teams, roles, and responsibilities.

Workflow-level restrictions

Limit who can trigger, edit, or approve key processes.

Visibility controls

Protect sensitive views, records, and outputs from unnecessary exposure.

Why teams care

Better security, cleaner governance, and fewer accidental overexposures.

Safer operations

Keep sensitive work constrained to the right operators.

Clearer accountability

Know who can do what and where.

Governance by design

Make controls part of the workflow instead of an afterthought.

How teams implement it

Start with the workflows and records that carry the highest risk.

01

Identify sensitive surfaces

List the data, actions, and workflows that need tighter boundaries.

02

Map roles to permissions

Define who can view, trigger, edit, and approve.

03

Expand the control model

Apply the pattern across more teams and workflows as usage grows.

Need tighter control over who can do what in Clous?

See how access control keeps AI-assisted work aligned with real governance requirements.