Do You Know Your AI’s Blast Radius? · AI Automation Society

Do You Know Your AI’s Blast Radius?

Every model error has a travel path. The real question is not whether the model makes mistakes, but how far those mistakes propagate before detection. In mature AI operations, blast radius is defined before deployment: which decisions are reversible, which trigger financial impact, which affect customers directly, and which quietly alter internal data. Yet most teams monitor accuracy instead of monitoring containment. Detection latency is rarely measured, escalation thresholds are unclear, and rollback protocols are improvised under pressure. A serious AI Transformation Partner maps output exposure, downstream dependencies, and human intervention points before scaling usage. If a flawed output can auto-update CRM records, trigger invoices, or retrain future datasets without friction, you do not have an AI system. You have an uncontained experiment. Audit containment first. Performance second.

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