As organisations move beyond isolated AI pilots toward enterprise-wide adoption, the challenge shifts from experimentation to execution. This presentation explores the complexities of scaling AI across the business, highlighting why a strategy-led approach is essential to manage risk, ensure compliance, and unlock meaningful value.
 
To successfully scale AI from isolated pilots to enterprise-wide deployment, organisations must navigate a complex landscape of strategic, operational, and cultural challenges. This journey requires more than just technical capability — it demands a clear strategic framework that aligns AI initiatives with business priorities, ensures responsible and ethical use, and embeds governance and compliance into every stage of delivery. Building organisational readiness through training, establishing clear decision rights, and fostering cross-functional collaboration are also critical to unlocking sustainable value. By approaching AI adoption as a strategic transformation rather than a technology rollout, businesses can move beyond experimentation and realise tangible outcomes at scale.
 
Key Takeaways:

• Scale with strategy: Moving from pilots to enterprise-wide AI requires a clear, risk-aware roadmap aligned to business priorities.
• Build the foundation: Success depends on strong governance, ethical frameworks, and organisational readiness.
• Deliver real value: Embed AI within core business processes to drive measurable outcomes — from operational efficiency to smarter decision-making and customer impact.