AI oversight

Set autonomy action by action.

Choose what can run autonomously, what needs approval and what stays fully human. Decisions and their outcomes remain auditable.

Supervised, semi-automatic and autonomous levels

Roles and approval thresholds

Decision and outcome log

How it works

A clear process, from start to finish.

Scale autonomy to the risk

An invoice can be retrieved automatically, while a sensitive change waits for approval.

Assign the right permissions

Roles define permitted actions, their scope and who is authorised to approve them.

Review a decision

The conversation, actor, action, approval and outcome form a coherent audit trail.

The product in action

Watch the state change, not a decorative image.

The demo shows the information that appears, the rule that applies and the final state your team can use.

Demonstration with fictional data.
Changing an approval policyDemo
One product language

Context stays available where your team needs it.

Each module uses the same fictional customers, statuses and control logic to show a coherent product, not a collection of dashboards.

Apply this process to your operation

Let’s discuss a real customer journey.

We start with your request, your rules and the exact point where a human must keep the decision.