90% of leaders want multi-agent AI, 19% can actually run it.

Key Insights

• 1. A significant majority (76%) of enterprises recognize that their current operational frameworks are inadequate for supporting the ambitions of agentic AI, highlighting a critical gap between aspirations and operational readiness.
• 2. The successful deployment of AI systems hinges on optimized processes and a comprehensive understanding of business operations, as 82% of decision-makers believe that AI will not yield a return on investment without this foundational knowledge.
• 3. Despite high interest in multi-agent systems (90% of leaders exploring), only 19% of organizations are currently utilizing them, indicating that structural challenges like siloed teams and disconnected systems are major barriers to effective AI implementation.

Key Insights

• Generative AI is transitioning from a phase of experimentation to becoming an integral part of daily operations across various industries.
• Effective governance and the establishment of clear policies are essential for organizations to successfully scale their AI initiatives.
• Access to trusted data is a critical factor that differentiates organizations that effectively implement and benefit from generative AI.