From Constraints to Capabilities: AI as a Force Multiplier
Over the past few years, organizations have invested in modern Artificial Intelligence (AI) technologies at an unprecedented scale. The transformative potential of AI to streamline operations and amplify the effectiveness of staff is too great to ignore.
However, even when AI initiatives are successfully delivered, many organizations fall short of their anticipated business benefits. Research has shown that, despite its potential, the impact of AI is often undermined by organizational constraints and bureaucracy, such as rigid budgeting cycles, employee skill gaps, lengthy decision-making, and poor data quality.
Unlocking these constraints, and the potential of AI, requires a shift in traditional business practices. Leaders need to focus on new capabilities, such as cultivating a learning organization, funding work dynamically, streamlining workflows, and adopting governance systems that balance innovation with risk.
In other words, agility.
Join us to take a dive into the latest research on the relationship between AI and business agility. Together, we will explore what it takes to realize the potential of AI. From;
- Augmentation not Automation: Amplifying, not replacing, human-produced value.
- From Creator to Composer: Redefining the role of humans to direct AI’s potential.
- AI as a Force Multiplier: Achieving greater business impact within existing capacity.
This human-centric approach provides a foundation for the responsible use of AI and maximizes its value as a transformative tool for innovation and growth. By addressing constraints and rethinking traditional business practices, leaders can ensure their organizations can compete at the speed of AI.
From Constraints to Capabilities (slides) (2025-06-02b From Constraints to Capabilities slides.pdf) | 1.58MiB |