Enterprise leaders are under pressure to turn AI ambition into real business impact, yet many established firms remain stuck in pilots and fragmented experiments. Despite access to data and advanced models, legacy architectures, organizational complexity, and risk aversion prevent AI from scaling in ways that matter.

The challenge is not intelligence, it is execution.

This webinar brings together research from the University of Oxford’s Future of Finance and Technology Initiative and the practical experience of Abhijit Kakhandiki, Head of Digital Business Automation for BMC, advising C suite teams. Together, we examine why AI guidance shaped by digital natives and Big Tech often fails in established enterprises, and what leaders must do differently.

The session will explore:

• Why legacy systems and cautious operating models stall AI momentum
• How the “paradox of caution” leads to underwhelming results and lost confidence
• The foundational strategies required to move beyond pilots and scale AI responsibly
• A developmental approach to AI adoption that aligns ambition with enterprise reality

Attendees will gain clarity on how to build the execution foundation AI depends on and how established firms can progress from experimentation to trusted, enterprise wide outcomes.