AI investment is on the rise, with enterprise budgets doubling this year and projections of $2.59 trillion in business AI spending by 2026. Yet, nearly all organizations—96%—aren’t seeing the dramatic efficiency or innovation gains they expect. It turns out the challenge isn’t the AI itself, but how it fits into existing business structures. Outdated workflows often fail to carry crucial context across teams, limiting the value AI can deliver. Research highlights that 70% of AI’s impact comes from people, culture, and process change, while infrastructure and algorithms contribute 20% and 10%, respectively. As someone who’s spent decades helping clients build resilient financial plans, I know the importance of strong foundations. For better returns, phased AI adoption is key: begin with routing, integrate predictable automation, protect customer context, and only then scale further. A thoughtful, process-driven approach—much like sound retirement planning—can make all the difference.
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