AI Decisions Still Belong to You
When a human makes a bad call, responsibility is obvious. When AI makes a bad call, accountability suddenly gets blurry. I’ve seen AI systems: - block legitimate customers - greenlight risky transactions - send messages that shouldn’t have gone out - rank the wrong leads as “high priority” - trigger automations that caused real damage And when things broke, the explanation was always the same: “It was automated.” Here’s the reality founders need to face: AI doesn’t carry consequences. Your company does. Customers don’t care: - what model you deployed - how good the benchmarks look - whether it was a rare scenario They only see the result. And they hold *you* responsible for it. Everything changed for me when I stopped asking: “How smart is this system?” And started asking: “If this decision is wrong, who eats the cost — financially, legally, and reputationally?” That question forces better architecture, better guardrails, and better deployment decisions. If ownership isn’t defined before AI goes live, the business always pays for it later.