Most companies are funding AI pilots, not strategies, and the cost is showing up as stranded spend, vendor lock-in, and a widening gap between what they spend and what they earn. The move that separates leaders is an architecture decision that ties AI capability to a specific competitive claim and sequences workflow redesign ahead of tool deployment.
Read moreMost executives feel behind on AI. The data suggests they're not, and that the fastest movers from 2023 are now writing down failed pilots after betting speed over judgment.
Read moreMost AI engagements start by picking a tool or vendor, then hunt for a business case afterward. That backwards sequence is why 95% of generative AI pilots return zero measurable financial value and why CFOs are cutting programs mid-cycle.
Read moreAI platforms are deteriorating faster than enterprise contracts can adapt, turning multi-year commitments into liabilities. Smart operators are shifting focus from vendor lock-in to outcome guarantees and flexible model swaps.
Read moreMost AI committees arrive at studio conversations unprepared to make strategic decisions, defaulting instead to procurement mode that produces misaligned scopes, pilot accumulation, and two years of compounding costs. Bring a thesis, not a use-case list.
Read more
