Demo

See how a risky AI workflow becomes a reviewable decision trail.

The demo shows how requests and documents move through checks, approvals, and evidence-ready outcomes in a clear, reviewable sequence.

Workflow sequence

From request to evidence

Request enters -> document checked -> approval required -> decision recorded -> evidence ready

Request received

Request received

Requests enter a reviewable intake step before model-side execution begins.

Proof frames

Requests enter a reviewable intake step before model-side execution begins.

Inspectability, type, classes, and policy fit remain visible before the workflow can continue.

High-risk or uninspectable inputs create an explicit approval state instead of an informal workaround.

Decision state, reason codes, and timestamps remain legible later instead of being rebuilt from raw logs.

Evidence exports stay reviewable with hashes, timestamps, policy version, and approval state attached.

Flow walkthrough

A request or document enters the gateway instead of going straight to a model endpoint.

Policy, inspectability, and class signals stay visible before the workflow continues.

Risky or uninspectable events create explicit approval states.

Outcome, actor, timestamp, and policy version remain reviewable later.

The final state stays usable for audit, assurance, and partner reporting.

Role views

Reviews approvals, incidents, evidence, and the wider control picture across environments.

Handles workflow-level approvals and sees what entered the workflow under the customer account.

Sees client-level summaries without needing raw document content in routine reporting.

The practical question is simple: can the workflow be checked, approved when needed, and explained later without guesswork.