With just 39% of organizations reporting meaningful financial returns on AI investments, what’s impacting ROI? This is largely driven by three critical factors: data trust gaps from multiple versions of the truth, execution delays from disconnected systems, and leadership misalignment.
Bridging the gap between experimental pilots and enterprise impact requires treating data as a primary asset while uniting leadership priorities around quantifiable business outcomes.
To close the AI value gap and bring fellow executive decision-makers on board, this playbook provides an actionable roadmap to scalable AI. This decision-stage guide explores how to:
- Resolve C-suite friction stalling enterprise AI
- Unlock multimillion-dollar gains in business productivity
- Align technology investment with measurable outcomes
