United States – October 22, 2026 -- AI has become the central pillar of enterprise transformation strategy and draws the largest share of executive attention and budget, yet its measurable impact remains uneven, according to a 2026 ROI report surveying 300 U.S.-based C-suite and digital transformation leaders.
Boards demand proof of returns, not deployment milestones
Boards and executive teams no longer accept deployment milestones or activity metrics as evidence of success. They expect transformation investments to deliver faster value, higher productivity and sustained returns. The survey found a consistent gap between ambition and outcomes, most visibly in AI-driven initiatives.
Security and customer experience rank behind AI in investment priorities. The open challenge is operationalizing AI at scale, where adoption and user proficiency determine whether projects deliver value or stall in pilot mode.
Outcome-anchored programs deliver the strongest returns
The largest returns came from initiatives tied to organizational outcomes. Efficiency, productivity and accessible data defined success more than the number of systems deployed. Programs lacking that alignment struggled to convert investment into impact.
Missing usage data leaves performance subjective
Without adoption analytics and usage data, leaders struggle to benchmark progress, justify reinvestment or locate friction points. The report identifies measurement maturity as a dividing line between high-performing and underperforming programs.
Training and onboarding gaps top executive regrets
The most common regrets centered on people rather than platforms: insufficient training, weak onboarding and poor alignment between IT and business teams. Organizations that fail to embed learning and support inside applications face slower ROI and lower confidence.
Enterprises pairing transformation spending with in-context enablement outperformed peers across every major benchmark, the report states. That approach combines hands-on simulation training, guidance in the flow of work and real-time adoption analytics.