Inteq's Agentic AI Q&A Series
Question: How do you distinguish a true blocker from an AI readiness gap you can manage in production?
Answer: You distinguish a true blocker from a manageable gap using two axes: the consequence of failure and the likelihood the gap is triggered in normal operation. High-consequence, high-likelihood gaps are true blockers that must be closed before you scale. Low-consequence or rare gaps can usually be managed in production with monitoring, human review of flagged cases, or a deliberately constrained rollout scope.
The discipline I advise on is that "manage it" has to be a plan, not a hope. A managed gap still needs a named owner, a detection mechanism, and a defined response. If you cannot specify those three things, you do not have a managed gap, you have an unaddressed risk.
I also recommend documenting each of these decisions, so the go/no-go reasoning is defensible if the gap is later triggered. Prioritize gaps by impact, not by how easy they are to fix. The most dangerous habit in AI rollouts is remediating the convenient gaps while the high-consequence one stays open because closing it is hard.
Structuring this go/no-go decision rigorously is part of what Inteq’s AI Agent Production Readiness training course prepares teams to do.
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