Intelligent energy

AI in energy is about more than just adopting new technologies — it’s about transforming how energy is generated, distributed, and intelligently managed to maximize efficiency, minimise waste, and respond dynamically to real-time demand and system conditions.

For leaders in the energy industry, standing still is no longer an option. Customers, regulators and partners alike expect up-to-date, intelligent systems capable of delivering affordable, reliable and sustainable energy.

We surveyed AI leaders across the energy sector, including 163 senior executives from mid-to-large-size energy companies to understand how organisations are approaching AI strategy, investment and implementation, and where the opportunities lie for the future.

The outcome is our ‘Intelligent energy’ report, a blueprint you can use to successfully deliver value with AI within your own organisation.

Read the ‘Intelligent energy’ report

Su Crighton

Director - Technology Transformation

KPMG in the UK

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For AI to truly scale and deliver value, energy companies must rethink not just their technology, but their entire operating model. Those that can align AI with business strategy, integrate data and technology and create a workforce ready to embrace AI-powered decision-making will likely be the ones that lead in the next era of energy transformation.

Su Crighton, Partner

How you can deliver value through AI-transformation

We’ve identified a framework for AI value creation based on leading practice among energy companies. The framework can help you build maturity across three distinct phases. Across these, the model looks at how you can increase the maturity of your tech foundations, the use of AI in functions, and how AI is orchestrated across the enterprise.

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Phase 1: Enable your people

This phase is about enabling your people and building AI foundations. You’ll be creating an AI strategy, identifying high-value use cases, boosting AI literacy, aligning with regulations, and establishing ethical guardrails.

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Phase 2: Embed AI into workflows

The Embed phase integrates AI into end-to-end workflows, products and services. In doing so, you start to deliver greater value. Your focus should be on breaking down silos and embedding AI across your core functions. That will provide real-time insights and improve decision making. You’ll now be measuring customer satisfaction scores and speed to market as key metrics of success, alongside efficiency and cost reduction.

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Phase 3: Evolve the energy eco-system

During the Evolve phase, you’re forming new business models and ecosystems to solve industry-wide problems. And you’re part of an ecosystem with customers, suppliers and governments. You’re using predictive insights to deliver sustainable outcomes. AI agents are no longer inhibited by silos or organised along value streams. And real-time monitoring ensures the integrity of your platforms.