
AI is increasingly being embedded across almost every part of an organisation. From software development and customer service to marketing and product innovation, organisations are investing heavily in, and becoming heavily reliant on, AI tools and systems.
But as AI adoption grows, so does a familiar pattern: the most valuable assets are often not the technology itself rather the real value lies in the underlying data, know-how, business intelligence and outputs that flow into and from AI systems. However, many AI systems are still being procured using contractual frameworks designed for traditional software or SaaS. As a result, organisations can overlook provisions or issues that have a significant impact on the value they ultimately derive from their AI investments.
In that context, key areas that deserve particular attention when reviewing and negotiating AI contracts include:








