The Conference Board has released a five-stage framework for redesigning work around agentic AI, while executives at Reuters Momentum AI Austin 2026 focused on proving measurable enterprise value beyond experimentation. The guidance calls for starting with a defined business outcome, dividing work between people and AI while preserving human accountability, building data and governance controls, measuring quality, speed, cost and other results, and deciding how verified gains are allocated. Conference speakers similarly stressed measures such as KPMG's "cost per accepted output," which includes technology, human review, error detection and fallback processes. FedEx said more than 200 use cases contributed to over $3 billion in cost reductions, while Mars reported roughly 20% top-line growth upside in measured Amazon digital-commerce activity and Indeed said AI-generated recommendations represented around 70% of matches. Both discussions warned that autonomous systems require clear ownership, spending limits, safeguards and human judgment, and that companies must protect mentorship and career development as routine work changes.