Enterprise AI transitions are creating significant risk exposures, with over $2.5 billion in direct exposure and $8.3 billion in market cap risk. A recent demonstration of a forensic intelligence system revealed these risks for Block Inc., including 5 detailed failure scenarios with timing predictions.

The system, which provides institutional-grade analysis, also offered a strategic solution framework to address multiple constraints simultaneously. This comes after Block Inc. cut 40% of its workforce, resulting in a 25% stock jump and market celebration.

However, the forensic system showed that there are blind spots that standard analysis misses. The full report is available, highlighting the importance of intelligence systems in identifying and mitigating risks in enterprise AI transitions.

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