Weekly Risk Reviews: Tuning Your Thresholds and Step-Up Rules

Master risk management by implementing structured weekly reviews that adapt to emerging threats and operational needs.

Proactive risk management can save you from catastrophic losses.
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## The $50K Hallucination Imagine this: your AI model just hallucinated in production, resulting in $50K in customer refunds. This isn’t just a bad day at the office; it’s a stark reminder of how critical it is to have robust risk management practices in place. As engineering leaders, the onus is on you to prevent such

catastrophes by implementing a structured framework for risk reviews. In an environment where fraud attempts are becoming increasingly sophisticated, staying ahead of the curve is no longer optional; it’s essential.

## Why This Matters The stakes are incredibly high. Inadequate risk management can lead to not only financial losses but also severe reputational damage. Studies show that organizations without proactive fraud detection systems face a 20% higher risk of financial loss. Moreover, the time spent reviewing flagged cases—r

ather than addressing core business objectives—can lead to burnout among your engineering teams and result in increased turnover. By establishing a culture of continuous risk assessment, you can mitigate these issues before they escalate.

## How to Implement It 1. **Define Key Performance Indicators (KPIs):** Start by determining which metrics matter most for your organization. Consider fraud rates, completion rates, and reviewer workload. 2. **Set Up a Telemetry System:** Implement a system that captures real-time data on user interactions, fraud flags

and reviewer decisions. This data will form the backbone of your risk review process. 3. **Schedule Weekly Reviews:** Create a recurring meeting with all relevant stakeholders—engineering, compliance, and HR. Use this time to review telemetry data, discuss fraud patterns, and adjust thresholds accordingly. 4. **Adjust,

Step-Up Rules:** Based on the insights gathered, fine-tune your step-up rules to ensure that they align with current fraud patterns. For instance, if you notice an uptick in proxy candidates during certain hours, increase scrutiny during those times. 5. **Document and Iterate:** Keep a record of each review’s outcomes.

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Key takeaways

  • Implement weekly risk reviews to stay ahead of fraud attempts.
  • Use telemetry data to inform staffing and policy adjustments.
  • Establish clear metrics to evaluate the effectiveness of your thresholds.

Implementation checklist

  • Define key performance indicators (KPIs) for fraud detection.
  • Set up a telemetry system to gather real-time data.
  • Schedule weekly reviews with all stakeholders involved.

Questions we hear from teams

What are key performance indicators for risk management?
Key performance indicators include fraud detection rates, completion rates of reviews, and the workload for reviewers.
How often should we conduct risk reviews?
Weekly reviews are recommended to stay agile and responsive to emerging threats.
What data should we collect for effective risk assessment?
Collect telemetry data on user interactions, fraud flags, and reviewer decisions to inform your risk management strategy.

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