Simulate
Dry-run automation rules against historical cases. Measure predicted resolution rates, confidence, and fallback rates without production risk.
Capabilities
Built for production. Designed for simplicity.
Test automation rules against historical cases and see which would be automated.
Estimate cases automated, time saved, and risk cases before going live.
Validate rules against sample cases to detect false positives and coverage gaps.
Get confidence scores for each automated case to set appropriate thresholds.
Experiment with different confidence thresholds to find the right balance.
Identify high-risk cases that should always route to human agents.
import httpx
resp = httpx.post("http://localhost:8017/api/v1/dry-run", json={
"rules": [{"condition": "category == 'password_reset'", "action": "auto_resolve"}],
"cases": [{"subject": "Reset my password", "category": "password_reset"}],
})API
Clean REST APIs. No SDK required.
Explore how this AI capability can transform your support operations.