Randall Acheson

I help people define the real problem before they use AI — and check whether AI’s answers actually make sense in the real world. Most failed AI projects don’t fail because of bad technology. They fail because the goal was unclear, the constraints were unrealistic, or critical human context was missing. I work with you to: • clarify what you are really trying to accomplish • surface hidden assumptions • define success in plain terms • identify constraints (time, money, risk, rules, reality) • shape questions that produce useful AI results • and sanity-check AI outputs before you act on them. I’m especially strong in situations that mix people, technology, planning, and real-world practicality — where judgment matters more than algorithms.