Client

      Large energy enterprise

      Industry

      Oil and gas

      Primary goal

      AI-led transformation

      Technologies

      AI, ML, GenAI, data platforms


      Energy organisations are increasingly leveraging AI to optimise operations, improve decision-making and drive innovation across the value chain. A large energy enterprise aimed to embed AI and advanced analytics across its operations to become a future-ready, technology-driven organisation.

      KPMG in India worked with the client to design a comprehensive data and AI strategy aligned with its long-term vision. The engagement focused on defining transformation priorities, identifying high-value use cases and building a scalable digital foundation.

      This approach enabled the organisation to transition from siloed digital initiatives to a structured, enterprise-wide AI transformation programme.


      The challenge

      The organisation had initiated multiple digital and analytics efforts across functions, but lacked a unified AI strategy and enterprise-wide alignment.

      Data was distributed across systems, limiting its usability for advanced analytics and intelligent automation. There was limited clarity on prioritising use cases and scaling solutions effectively.

      Without a structured roadmap and governance model, achieving enterprise-wide AI adoption across core and support functions remained a challenge.



      Our approach

      KPMG in india supported the organisation in developing a structured AI strategy aligned with its business vision and transformation goals.

      A comprehensive framework was implemented, including defining a strategic “North Star,” identifying transformation themes and prioritising impactful use cases across functions such as operations, finance, HR and supply chain.

      The team designed a phased implementation roadmap, balancing quick wins with long-term transformation initiatives.

      Additionally, a unified enterprise data platform was conceptualised, supported by data governance, scalable infrastructure and MLOps capabilities to enable seamless AI deployment.

      KPMG in India’s approach included:
      • Enterprise AI strategy

        Defining a clear roadmap aligned with business priorities and transformation goals

      • Use case identification

        Identifying high-impact AI opportunities across exploration, drilling, production, and support functions

      • Unified data platform

        Enabling a centralised data foundation to support scalable AI adoption

      • Advanced AI capabilities

        Deploying technologies such as machine learning, generative AI, and decision intelligence

      • Operating model design

        Establishing governance, talent, and partnerships to drive sustained adoption


      The impact


      The programme is transforming how decisions are made across the enterprise:

      business

      100+ AI use cases identified across multiple business functions

      insights

      Faster and more informed decision-making through data-driven insights

      trending_up

      Improved efficiency across exploration, drilling, and production workflows

      memory

      Greater alignment across functions through a unified AI and data ecosystem

      foundation

      Strong foundation for scaling AI adoption across the organisation

      The initiative is set to help the organisation move from siloed data to intelligent, end-to-end operations, driving innovation and long-term competitive advantage.


      How we make the difference

      KPMG helps organisations design and implement AI strategies that deliver measurable outcomes. By combining domain expertise, advanced analytics and scalable platforms, we enable enterprises to adopt AI confidently and accelerate transformation.

      KPMG. Make the Difference.

      Key Contact

      Shreyansh Upadhyay
      Shreyansh Upadhyay

      Associate Partner, Business Consulting & Chair, AI for Energy

      KPMG in India


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