
AI is already part of most intelligence workflows—but when can its output be trusted? Six leading AI models were tested using 18 real-world intelligence questions, including situation reports, pre-deployment briefs, scenario forecasts, false premises, and fabrication traps. The results reveal where general-purpose models perform well and where their limitations introduce risk.
Watch this session to learn which intelligence tasks AI can reliably support, which require greater scrutiny, and how to prompt for leadership-ready results. The session also offers practical guidance for building more effective, trustworthy AI workflows—with no coding experience required.
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