Schneider Electric has launched an initiative to build a scalable agentic AI platform, reinforcing its position at the intersection of technology and sustainability. The multi-year project aims to enable intelligent agents to operate autonomously or in collaboration with human counterparts across its global operations.
Transitioning from Static Tools to Intelligent Collaboration
Schneider Electric is replacing fixed sustainability tools with dynamic systems that enable large-scale, real-time decision-making. “Our vision is collaborative intelligence—agentic AI that works alongside human experts as a true digital teammate,” said Steve Wilhite, President of Schneider Electric’s Sustainability Business Division.
Enabling Intelligent and Autonomous Operational Decision-Making
Schneider’s agentic AI ecosystem introduces intelligent agents capable of acting and optimising outcomes dynamically, unlike traditional AI applications or enterprise software. These systems are designed to elevate sustainability from a compartmentalised concern to a core, continuously evolving enterprise function.
Julien Picaud has been appointed as Head of Product Management to lead the development and implementation of the platform. The initiative will integrate advanced features from EcoAct, Schneider’s recently acquired sustainability consulting firm under his leadership.
These capabilities include:
- Decarbonisation strategy
- Emissions management and reporting
- Scenario analysis, benchmarking, and climate risk modelling
- Energy and resource efficiency powered by data automation
This integration is expected to make the AI ecosystem more agile and holistic in addressing sustainability challenges across industries
Leveraging Deep Sector Expertise for Competitive Advantage
The success of Schneider’s agentic AI hinges on the company’s deep-rooted domain expertise. Schneider is uniquely positioned to embed specialised knowledge into its AI systems, with more than two decades of leadership in global energy transformation and sustainability consulting.
“In specialised fields like energy and sustainability, agentic AI is only as effective as the depth of domain expertise embedded in its design,” said Amy Cravens, Research Director of Sustainability and ESG Software at IDC.
The foundational knowledge enables the platform to deliver not only accurate outputs but also actionable insights that align with real-world complexities and organisational goals
Embedding Ethics and Efficiency in AI Development
A key tenet of Schneider Electric’s AI strategy is its commitment to ethical and efficient innovation.
“Recognising the energy intensity of AI, we are committed to developing and deploying this investment with a focus on computational efficiency and responsible resource usage,” said Dan Whitsell, CTO and Head of Software Engineering for the Sustainability Business Division.
Schneider is ensuring that its AI systems deliver high performance while minimising environmental impact, energy consumption, and cost, by prioritising lean infrastructure and efficient algorithms.
Schneider Electric is entering its next AI chapter with a foundation built on measurable impact. Its Resource Advisor Copilot has generated $15 million in savings globally, supported by a portfolio of over 18 AI patents and a strategic alliance with Nvidia.