Test operational changes before they touch customers.
DryRun replays your policies against real historical cases, exposing risk, cost, and customer impact before you deploy.
Operational overview
Refund policy · v4
7 require review
Refund threshold exceeded6 cases · Policy v4
→Low confidence resolution11 cases · Model route
→Know what the agent would do—before it can do it.
DryRun turns a proposed support policy into an evidence-backed operational decision using your own historical cases.
Replay
Import a historical case cohort and run the proposed policy without touching a customer or support system.
Measure
Expose false automation, refund exposure, segment risk, escalations, and policy violations.
Decide
Receive a traceable deploy, revise, or block recommendation with rollout limits and stop conditions.
Simulation first. Production never.
01No live customer actions or paid model dependency
02Raw imports remain separate from normalized cases
03Versioned policies, reproducible runs, and complete audit evidence
Bring one risky support policy. Leave with evidence.
We are opening five pilot seats for teams automating refunds, credits, cancellations, or escalations. Run a representative dataset through DryRun and receive a decision-ready risk report.