The AI illusion: the belief that adding an AI interface to existing solutions immediately results in a tangible benefit to users. Many AI-features found in today’s businesses operate on isolated datasets within siloed applications and offer limited value beyond their immediate context. They are akin to adding a sleek front-end to a client portal that still pulls incomplete or outdated data. The visuals may be impressive, but the substance is unreliable.
In this paper, we:
- Identify the ROI gap that constitutes the core problem in AI adoption
- Explore why acquiring AI capabilities is easy but operationalising them effectively is not
- Establish the fundamentals required for meaningful AI enablement
- Differentiate data orchestration from traditional workflow automation
- Introduce a Data-first Operating Model
Download today, and discover your guide to building the foundation that turns AI from promise to performance.
