TRUE – AI requires strong governance, data control, and technical expertise, making IT best positioned to ensure scalability, security, and long-term success

FALSE – AI should sit with marketing and commercial teams, as they are closest to the customer, use cases, and revenue impact, ensuring faster execution and real business value

• How to move from fragmented knowledge and undocumented processes to structured, usable data that AI can actually learn from and act on  
• Why hiring AI tools or teams isn't enough and what it really takes to restructure data, workflows, and context so AI delivers real business outcomes  
• How to nurture AI through training and data while managing risk, defining where to give AI freedom, where to keep humans in the loop, and how to minimise errors