For instance, a bank that invests 18-24 months building a unified data platform can then deploy dozens of AI use cases rapidly. A healthcare system that focuses on rethinking how we work with AI and leverage organisational change management can scale AI-assisted diagnostics across specialties. A government agency that establishes enterprise-wide governance can safely innovate and deploy citizen-facing AI services.
Transformational investments are ones that completely reshape business models and create new revenue streams. They use AI to fundamentally change value propositions or transform the way a business orchestrates complex processes. These of course require more planning, investment and strategic buy-in across the company.
Rather than just throwing tools at an existing problem, organisations that are achieving value from investments in AI examine their processes, their players and their intended outcomes – and are rethinking how they achieve their goals.
Without the proper culture in place, there is a risk some programmes may fail.
The strategic approach is portfolio management: balance quick-win use cases that build confidence and fund the journey with foundational investments that enable scale, while selectively pursuing transformational opportunities aligned to your competitive position.
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