
Eighty-five percent of companies are running AI proofs of concept. Only 5% make it to production. Aaron Rallo, co-founder and CEO of Trovia and former leader of agentic AI at AWS, breaks down exactly why and what the successful 5% do differently. The problem isn't the technology. It's content quality, governance, and designing for scale before writing a single line of code. Aaron shares the "consequence and confidence matrix" he developed at AWS to determine when AI should act autonomously and when a human must stay in the loop, why the "accept all" pattern is the most dangerous habit in AI deployment, and how to anchor every AI initiative to a concrete million-dollar business problem before starting a POC.
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