A decision record captures what was decided, why it was decided, who was involved, what evidence was used, and what assumptions were accepted. Learn how decision records reduce corporate amnesia, support accountability, and improve future reviews.
Fast decisions don’t need to be careless decisions. Learn how clear ownership, proportionate evidence, visible assumptions, appropriate approval paths, and simple tracking plans can help organizations move quickly without losing accountability.
Learn how to prepare an approval package for an investment decision, including the ask, recommendation, evidence, financial case, risks, assumptions, ownership, and follow-up needed to help approvers review confidently and move decisions forward.
AI enthusiasm can spark useful experimentation, but it’s not enough to justify investment at scale. Read why stronger AI decisions need clear objectives, ownership, risk awareness, prioritization, and post-approval measurement as initiatives multiply.
