[ SERVICE ]

Sustainability

[ SERVICE ]

AI technologies, while driving innovation and efficiency, also come with significant environmental impacts, in both energy consumption and resource use.

Large-scale AI models, especially those used in deep learning, require vast computational power, leading to increased carbon emissions and water usage. For organisations committed to sustainability, addressing these environmental challenges is crucial not only for meeting regulatory requirements and stakeholder expectations but also for contributing to the global effort to combat climate change.

We work to enable AI solutions that are both powerful and environmentally responsible. We advise on solutions designed to help minimise the carbon footprint and resource consumption of AI models. Our approach begins with a comprehensive assessment of your existing AI infrastructure, identifying areas where energy use and emissions can be reduced. This includes optimising algorithms for efficiency, selecting energy-efficient hardware, and exploring alternative, greener computational methods such as edge computing or federated learning, which reduce the need for centralised data processing.

Water consumption, particularly in cooling systems for data centres, is a critical issue. We can advise on sustainable cooling solutions, such as using reclaimed water or adopting advanced cooling technologies that significantly lower water usage. We help companies assess and select data centres that prioritise renewable energy sources and sustainable practices, further reducing the environmental impact of their AI operations.

We also provide strategic consulting on integrating sustainability into your full AI development lifecycle. This includes training your team on best practices for sustainable AI, setting measurable sustainability goals, and monitoring progress over time. By embedding sustainability into the core of your AI strategy, you can ensure that your AI initiatives not only drive business success but also contribute positively to the environment.

[ NUMBERS ]

25+

Multi-disciplinary consultants

4

Continents

20+

Industry sectors

100%

Cambridge Masters Graduates

Sustainable AI is the foundation for responsible and ethical AI

01 Audits & Certification

AI audits and certification are essential for evaluating the performance, reliability, and ethical robustness of your AI systems.

02 Governance & Assurance

Navigating a complex and fast-moving landscape of AI regulations is challenging, especially when you operate across different jurisdictions. Our global compliance experts can help.

03 Policy & Strategy

Our policy experts help clients develop comprehensive AI policies and strategies that align with their organisational goals, regulatory requirements, and ethical standards.

04 Security & Red teaming

We help you identify and address the unique risks associated with AI, ensuring that your systems are secure, resilient, and robust against threats.

05 Sustainability

As the adoption of artificial intelligence accelerates across industries, the importance of prioritising sustainable AI cannot be overstated.

06 Upskilling

We offer comprehensive training sessions designed to enhance your employees' understanding of AI, focusing on the ethical implications of AI technologies.

07 Vendor Selection

Selecting the right third-party vendors is critical to the success and integrity of your AI initiatives.

08 Values Mapping & Culture Alignment

We help you articulate your values in relation to AI, ensuring that deployment is not only innovative but aligned with your organisational culture and with broader societal and ethical considerations.