Human Ops

The future of review tooling

Reviewer tooling that gives your team full context on every case,
faster decisions, and models that improve over time.

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Deployed at scale by

$700B Card Network

Review cases with full context

Every case comes with the evidence agents already gathered. Your team sees full context of evidence and investigations.

Merchant analytics dashboard showing revenue, orders, ad spend, refunds, and payouts with a chart displaying trends over time and a fraudulent activity alert for category jump and large price change

Median time spent on a case chart showing reduction over time from January to July with a notification showing 80% reduction in manual review time

Continuous improvement

Every decision your team makes feeds back into your models. Your system gets smarter with every case, turning your team's expertise into a strategic asset.

Self-serve workflows

Deploy new policies and review workflows without waiting on engineering.

Create new policy modal with policy description field, region selection options including North America, Europe, Asia Pacific, and South America, with Europe selected

Review queue dashboard showing open, pending, and closed cases with shop details including exposure amounts, fraud signals, status, and reviewer assignments

Manage performance

Track team metrics, identify training gaps, and improve quality over time.

Built to work together

 1  {
 2    "queue": "high_risk_merchants",
 3    "case_id": "case_12847",
 4    "priority": "high",
 5    "assigned_to": "team_fraud",
 6    "context": {
 7      "ai_analysis": true,
 8      "ml_score": 0.87
 9    }
10  }

DOCS

Integrate with SafetyKit's API

ML OPS

Custom classifiers, clustering, and anomaly detection for your data

AI OPS

Deploy AI agents that auto-resolve cases and route decisions to your team

Stylised collage of people, shoes and city scenes reinforcing the message of platform safety and user trust

Protect your platform.

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