AI in energy is about more than just adopting new technologies
Scaling AI is about reimagining the enterprise and meeting the energy trilemma head on, embedding intelligence across the value chain to secure supply, decarbonize and control costs. Our findings provide guidance for navigating that future.
At-a-glance insights
Experimentation is a critical investment area
Experimentation is a critical investment area
How to realize value from your AI transformation journey
To address these challenges, KPMG introduces the three phases of AI value — a framework designed to guide energy companies through the AI adoption journey. This phased approach provides a structured roadmap, helping the energy industry prioritise investments, align initiatives with business goals, and position themselves effectively in the age of AI in energy. Click on each of the phases below to find out more.
Enable
The Enable phase establishes the foundations for AI adoption and focuses on creating awareness, experimentation and alignment to help ensure the organisation is prepared for broader AI integration. This includes developing an AI strategy, increasing AI literacy, learning from initial implementations and more.
Embed
The Embed phase integrates AI into end-to-end value streams and transforms ways of working across the enterprise. A senior leader, supported by a capable transformation office, oversees enterprise-wide change.
Evolve
The Evolve phase transforms enterprises so they can anticipate market disruptions, forming new business models and ecosystems to solve larger, industry-wide problems. Energy companies move beyond internal optimisation and become orchestrators of interconnected ecosystems, seamlessly integrating producers, grid operators, industrial consumers, governments and sustainability initiatives.
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