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Activating the AI Enterprise:

Why Rearchitecting Work is the First Step to ROI

Most enterprises have deployed AI tools to their people without changing how the work itself gets done — and that gap is why productivity and decision quality remain flat despite widespread adoption. Drawn from ADAPTOVATE's work advising leadership and delivery teams inside large, complex organizations on enterprise AI transformation, this report argues that the stall isn't a technology problem — it's an operating model and human capability problem. Pilots launch with energy and then stay stuck as side experiments because no one owns the decisions needed to move them into production; use-case backlogs pile up faster than teams can prioritize them; and generic AI training teaches "prompt tricks" instead of the judgment needed to redesign real workflows.

As ADAPTOVATE puts it: "If the work looks the same as it did in the pre-AI world, your capability has not moved."

For leaders under pressure to show returns on AI investment in 2026, this distinction matters — between organizations that have AI tools and organizations that have actually rearchitected how decisions and workflows get made.

The full report sets out how organizations close that gap and what it looks like in practice, including two client case studies from financial services and capital markets.

Download the full report to see how leading organizations are closing the adoption-impact gap.