Our Approach to AI
We design and deploy AI systems with clear purpose, defined boundaries, and ongoing oversight, ensuring that decisions are explainable and aligned to operational objectives.
Our Principles
Transparency
We ensure that AI-driven decisions can be understood, explained, and communicated clearly.
Accountability
We maintain responsibility for outcomes generated by our systems and take ownership of their impact.
Fairness
We design systems to avoid bias and unintended consequences and treat people equitably.
Security
We protect data, models, and systems through robust security practices and continuous vigilance.
Human Oversight
We maintain human involvement in critical decisions and ensure AI augments — not replaces — human judgement.
Applied Within Defined Boundaries
AI within XECO's platform is used to optimise energy performance, improve efficiency, and support operational decision-making. It is not used to make autonomous decisions without defined controls or oversight. We apply AI only in appropriate contexts where it delivers measurable value and aligns with our commitment to safety, reliability, and customer trust.
Governed and Continuously Reviewed
Our AI systems are subject to governance processes that
include model validation, performance monitoring, risk
assessment, and periodic review. We evaluate emerging
technologies and evolving risks to ensure our practices remain
effective, ethical, and aligned with our principles.
We
welcome feedback and engage with stakeholders to support
responsible innovation.
Continuous Improvement
AI is an evolving field. We are committed to learning, adapting, and improving our practices over time. Through ongoing research, monitoring, and collaboration, we strive to raise the bar for responsible AI in the energy sector.
AI and Data Enquiries
If you have any questions about our approach to AI or how we use data, please contact us at: