Break down silos and ensure open collaboration across interdisciplinary teams, including Business Strategy, IT, Data, Operations, HR, and Legal
Involve all key stakeholders from the start, including subject matter experts, to identify and align requirements, manage expectations and drive collaboration
Build a team of skilled professionals with strong expertise in AI Strategy, AI Governance, Project Management, Machine Learning, Data Science, and Data & AI Engineering, enabling problem solving and planning for knowledge transfer
Get the right resources through available internal skilled staff, internal training or external hiring (which may include external Consultants or Vendors)
Realistically assess how AI will impact processes, workflows, and job roles
Allocate resources to support future project scaling, updates, and realignment
Build an AI Centre of Excellence to centralise expertise, set best practices, and drive innovation — especially valuable for complex or large-scale AI initiatives
