Scale AI responsibly by mastering resource risk, controlling hidden costs, and embedding sustainability into every stage of your AI journey and achieve up to 70% energy savings.

As organizations accelerate AI adoption and move from pilots to enterprise-wide deployments, they face a new challenge: managing the growing financial, environmental, and operational impact of AI. While AI drives innovation and productivity, it also increases demand for the resources that power AI including energy and water, as well as the rare earth minerals needed to build the computing infrastructure. Sustainable AI Impact Management by Capgemini helps organizations gain visibility into the true cost of their AI, mitigate resource and sustainability risks, and embed responsible AI practices across the enterprise. Through a comprehensive framework spanning measurement, optimization, governance, and continuous improvement, we enable organizations to scale AI confidently while protecting profitability, resilience, and meeting their sustainability goals.

“The organizations that thrive with AI will be those that can balance performance, cost, and sustainability at scale.”

Philippe Cordier, Global Chief AI Scientist, Sustainable AI, Capgemini Invent

Scale AI responsibly while mastering resource risk and cost

AI is a critical asset for all businesses but scaling AI without understanding its full resource footprint can create significant risks. As organizations deploy more AI solutions, costs extend beyond model licensing and consumption. To add to that, energy demand, carbon emissions, water consumption, infrastructure constraints, and supply chain dependencies are ever increasing strategic business concerns..

Anticipate AI’s hidden resource consumption cost

Organizations need visibility before they can act. We establish a robust methodology, by centralizing current AI cost and impact, and by projecting future AI cost and resource demand. This enables organizations to measure their AI costs, carbon, energy, and water impacts across models, infrastructure, and business use cases.

Organizations can consolidate fragmented data from different teams to create a comprehensive view and a central methodology to provide current AI costs and environmental impacts while forecasting future demand. Through scenario modelling and investment planning, organizations gain a clear understanding of their future AI resource consumption, environmental footprint, and financial risks, enabling more informed and sustainable AI growth decisions.

Mitigate AI resource risk before scaling

Once risks and impact areas are identified, organizations can take targeted action by mitigating the resource and cost risks, setting a mitigation strategy, activating the right levers, and continuously monitoring over time.

We have been working with our clients to help them measure AI workloads across models, use cases, and infrastructure to identify inefficiencies and resource-intensive operations. Through monitoring, impact analytics and optimization models, organizations can continuously reduce cost, energy consumption, carbon emissions, and operational redundancies while also maximizing AI value for their organization.

Embed sustainable AI by design

Sustainable AI works best as an ongoing practice rather than a one-off initiative. We help organizations industrialize sustainable AI practices across governance structures, processes, and operations. Through training, governance models and responsible sourcing strategies, sustainability becomes a core decision-making factor alongside performance, creating long-lasting business value.

Organizations adopting Sustainable AI Impact Management by Capgemini can achieve:

  • Predictable AI cost and sustainability outcomes
  • Real-time visibility into resource consumption – energy, water, carbon, and cost impacts
  • Continuous optimization and risk assessment
  • Improved governance, transparency, and accountability across teams
  • More informed AI investment and sourcing decisions
  • Organization-wide responsible AI adoption
  • Enhanced resilience against future resource and infrastructure constraints

Achieve up to 70% energy savings with proven methodologies, optimization levers, and sustainable AI best practices. With Sustainable AI Impact Management by Capgemini organizations can significantly reduce AI energy consumption and scale AI responsibly, all while maintaining business outcomes and performance.

“Convert your enterprise-wide AI from a hidden resource risk into a sustainable competitive advantage with Sustainable AI Impact Management by Capgemini.”

Martin Chauvin, Manager Consultant Data Scientist, Capgemini Invent