Operating modelRelevance · high2026-07-28
Dun & Bradstreet·4 min read
Enterprise AI ROI is rising, but data readiness is the bottleneck
Professional ServicesTechnologyFinancial ServicesRetailManufacturing
Dun & Bradstreet’s July 2026 AI Momentum Survey reports that over three-quarters of enterprises now see measurable ROI from AI, yet many still struggle with data quality, governance, and integration needed to scale beyond pilots.
Why it matters for leaders
As a technology advisor, you can use this data to push clients past proof‑of‑concept thinking: AI value is now proven, and the differentiator is disciplined data foundations and operating models, not model choice alone.
Opportunity signal
Position your first AI MVPs explicitly as data products tied to a narrow, high‑value workflow (e.g., lead qualification, collections, case triage), with a parallel workstream to clean and govern the underlying data sources.
highRisk signal
Clients that rush to deploy copilots or agents on fragmented data may see inconsistent outputs and erode internal trust in AI, making later, better initiatives harder to land.
medium