Approval Gates & Human-in-the-Loop
Design approval workflows by setting confidence thresholds and risk categories. Then simulate 20 requests to see which get auto-approved, flagged for review, or escalated.
Approval Flow Builder
Configure your approval gates. Set confidence thresholds for auto-approval, define risk categories, and choose escalation paths for different scenarios.
Some actions should always require approval regardless of confidence. Toggle categories that must always be reviewed.
Always escalate
Check confidence
Auto-Approve
Flag for Review
Escalate
Key insight: The best approval systems are not binary (approve/reject). They use graduated confidence thresholds combined with category-based overrides. This lets low-risk routine tasks flow freely while catching edge cases and high-stakes decisions for human review.
One more gate you don’t control: frontier models now ship with their own misalignment monitors that can pause or stop a long run without asking you. OpenAI says to expect exactly that with GPT-6 Astra at launch — in ChatGPT and Codex you’re asked to review and continue, in the API the task just stops. Design for it: checkpoint long runs so a pause costs you minutes, not the whole job.
Request Simulation Engine
Run 20 simulated requests through your approval logic. Watch in real time as each request is classified based on your thresholds and risk categories.
Configure your approval flow above, then click "Run Simulation" to process 20 sample requests.