Weekly Risk Reviews: Tuning Thresholds and Step-Up Rules
Optimize your hiring integrity with effective risk management strategies.
Proactive risk management is not just a strategy; it's a necessity for engineering leaders.Back to all posts
## The $50K Hallucination Imagine this: your AI model, trusted to screen candidates, just hallucinated in production, resulting in $50K in customer refunds. It’s a scenario no engineering leader wants to face, yet it’s more common than you think. The stakes are high; a single misstep can lead to brand damage, financial
loss, and a cascade of compliance issues. As you sift through the wreckage, the question looms: how can you prevent this from happening again? The answer lies in proactive risk management through regular reviews and adjustments to your thresholds and step-up rules. ## Why This Matters For engineering leaders, the cost
of ignoring fraud attempts is not just financial; it impacts your team’s morale and the integrity of your hiring process. Each fraudulent attempt that goes undetected can lead to wasted interview hours and a damaged reputation. Moreover, as hiring becomes increasingly digital, the potential for fraud grows. Establish a
culture of vigilance by integrating weekly risk reviews into your operational framework. This practice will not only help in identifying potential fraud but also foster a mindset of continuous improvement within your team. ## How to Implement It ### Step 1: Establish a Review Cadence Set a weekly schedule for risk
reviews. Ensure that all relevant stakeholders are involved, including engineering, HR, and compliance teams. This cross-functional approach will provide diverse perspectives and insights. ### Step 2: Integrate Telemetry Data Utilize telemetry data to inform your review process. Track metrics like false acceptance and
rejection rates, and correlate these with specific thresholds. This data will enable you to make informed decisions on where to adjust your thresholds and step-up rules. ### Step 3: Define Thresholds Clearly define what constitutes a risk signal. This could be a specific score from an AI model or a pattern of behavior
during candidate interactions. Regularly revisit and adjust these thresholds based on your findings. ### Step 4: Adjust Staffing Use insights from your reviews to inform staffing decisions. If your telemetry indicates a rise in potential fraud attempts, consider increasing manual review resources temporarily to ensure
Key takeaways
- Regular risk reviews can significantly reduce fraud attempts.
- Tuning thresholds allows for more accurate fraud detection.
- Effective telemetry can guide staffing and policy adjustments.
Implementation checklist
- Establish a weekly cadence for risk reviews.
- Integrate telemetry data into your review process.
- Define clear thresholds for fraud detection.
- Adjust staffing based on insights from reviews.
Questions we hear from teams
- What metrics should we track during risk reviews?
- Focus on false acceptance and rejection rates, as well as candidate drop-off rates and telemetry data that indicate potential fraud attempts.
- How often should we adjust our thresholds?
- Thresholds should be reviewed and adjusted weekly during your risk reviews to align with the latest data and trends.
- What tools can assist in tracking these metrics?
- Utilize analytics tools that integrate with your ATS and provide real-time insights into candidate interactions, fraud attempts, and review outcomes.
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