Results

Key Recommendations

Prioritizing use cases with solid data foundations should be a deliberate strategy for organizations: Focus on AI use cases where you can leverage existing data and where AI is essential for optimizing data operationalization. Empower employees with GenAI expertise; continuous upskilling of the workforce is essential: With GenAI expertise in short supply, upskilling the workforce is no longer optional—it’s essential. Organizations must prioritize investment in comprehensive training to upskill employees to confidently use AI tools. This not only fosters a culture of innovation but also ensures enterprise-wide adoption that drives sustainable competitive advantage. Accelerate partnerships with technology and consulting partners: Tech and consulting partners are crucial, they bring essential knowledge and skills to develop, deploy, and scale AI solutions. Their expertise helps organizations stay ahead with the constantly-evolving best practices and navigate the complexities of operationalizing AI. Embrace Agentic AI for strategic advantage: Organizations that overlook the significance of agentic AI risk investing resources on rigid, non-agentic automation that are not equipped to deliver significant improvements in productivity, customer engagement, and strategic decisioning. Such organizations are more likely to fall behind their competitors and risk obsolescence.

Challenge

Executive Summary

Solutions

Key Findings

·       69% Organizations are still at beginner or lower-intermediate levels of GenAI maturity, with many struggling to scale initiatives. GenAI maturity continues to lag despite significant investments.

·       40% Enterprises have legacy infrastructure, lack of skills and knowledge leading to transformation gaps in systems, processes, and people. Fragmented foundations undermine organizations’ GenAI aspirations.

·       73% Leaders plan to engage technology partners to accelerate GenAI adoption, while 85% relying on cloud vendors to train or host models - highlighting the critical role of collaboration. Leverage tech and consulting partners strategically to navigate toward an agentic future.

·       65% Decision-makers cite setbacks in GenAI rollout strategies, with efforts largely focused on internal efficiency use cases rather than delivering strategic advantages that drive differentiation. The gap between GenAI’s ambitious goals and real-world execution underscores a critical challenge.