The $1M Hallucination

Live a simulation of how one small AI mistake cascades into major financial, compliance, and operational impact, and decide how your team would respond at each turn.

Objective

Demonstrate how one incorrect AI-generated decision can create disproportionate business risk.

  • You'll walk through four stages of a real-shaped incident, in order.
  • At each stage, your team makes a call on how to respond.
  • Watch the cumulative cost and the number of functions pulled in grow with every stage.
  • At the end, you'll see the full cascade, a debrief on your decisions, and discussion questions.

Debrief: the full cascade

What started as one auto-approved invoice under a $5,000 threshold.

Total impact
$0
Your decision pattern
How Seekr helps

Deploy knowing your risk exposure

SeekrGuard scores every model against a risk profile before it reaches production, so you can limit risk exposure before you deploy.

SeekrFlow lets you set guardrails around agent decisions and shows the reasoning behind them, so you can explain each outcome and improve the system over time.

Contestability loop: Evidence, Challenge, Diagnosis, Context/Data/Model remediation, and System Improved

How SeekrFlow resolves a contested outcome: trace the evidence, diagnose where the influence came from, remediate, and re-test.

Learn more at seekr.com →