As part of the Unlock Innovation pillar, the AI-Based Solutions initiative explores how data-driven technologies can support safer operations, optimise industrial processes and improve resource efficiency across the Group. By optimising processes and energy use, these technologies strengthen operational performance and safety while contributing to our reduction of carbon emissions trajectory.
Several pilot initiatives are currently being tested across production, maintenance and operational support functions. Through these experiments, SSE is progressively integrating advanced analytics and digital tools into daily operations, building the foundations for a more data-driven and efficient industrial organisation.

“In 2025, our work with Artificial Intelligence is moving from exploration to real operational applications. By turning operational data into actionable insights —from predictive maintenance to blasting performance analysis — we are helping our teams make smarter decisions on the ground. This not only strengthens operational efficiency and safety but also helps us identify opportunities to optimise resource use and reduce the carbon intensity of our operations. AI is becoming an important lever in SSE’s broader operational transformation toward a more data-driven and sustainable industrial organisation ”
Markus Troger
CBDO SSE Group
AI-based solutions Project Manager
AI-BASED SOLUTION KEY HIGHLIGHT
In 2025, SSE advanced several AI initiatives focusing on practical applications with strong operational value:
Predictive Maintenance – Production
Two AI-based tool suppliers were identified, and the decision was taken to acquire an external solution rather than develop one internally. Testing was conducted and evaluated in 2025, with the solution rolled out in the first half of 2026.
AI Drill & Blast Service Optimisation
A reporting tool supporting blasting performance analysis was developed and the concept for AI-supported optimisation was finalised. A shortlist of specialised solutions (QuarryX and Shotplus) has been identified, with technical evaluation planned before defining the deployment roadmap.
AI Communication Facilitator (CoPilot)
Initial testing of AI-assisted communication tools began with small teams, exploring how digital assistants can facilitate collaboration across multilingual teams and international operations.
These initiatives mark an important step toward strengthening data-driven operational capabilities across SSE.
IMPACT ACROSS SSE
The development of AI-based solutions contributes to several dimensions of SSE’s operational transformation:
Operational efficiency
Improving maintenance planning, operational monitoring and process optimisation.
Safer operations
Predictive tools help anticipate equipment failures and support better decision- aking in complex operational environments.
Lower carbon intensity of operations
Optimised processes and improved energy management contribute to reducing operational emissions.
Digital capability development
Building internal expertise in advanced analytics and data-driven decision-making across teams.
Through these initiatives, SSE is progressively strengthening its digital capabilities while supporting both operational excellence and sustainability performance.
HOW IT WORKS
From experimentation to operational deployment
The AI-Based Solutions initiative follows a pragmatic approach based on pilot projects and progressive deployment.
Operational teams identify use cases where advanced analytics could improve performance or safety. Selected technologies are then tested through pilot projects before being evaluated for wider rollout across SSE entities.
This step-by-step approach allows SSE to combine engineering expertise, operational knowledge and digital innovation while ensuring that new technologies deliver tangible value for both operations and sustainability performance.

When we reduce unplanned downtime by double-digit percentages, we don’t just improve performance — we reduce operational waste, optimise resource use and make our production processes genuinely more sustainable. This is exactly what predictive maintenance will deliver in our operations. In 2025, we reached a major milestone by selecting our dedicated technology partner for the upcoming pilot phase, bringing this from concept to reality at SSE. For me, this initiative is not only about production stability and operational efficiency — it directly supports our ESG objectives in a very concrete and measurable way. This is how targeted AI innovation contributes to both the resilience and the environmental performance of our manufacturing sites. And at SSE, we are taking an important step towards higher-performing and sustainable manufacturing.”
Tom Walisch
Project Manager, SSE Switzerland
“I use Microsoft Copilot on a daily basis to review contracts, analyze complex datasets, run focused research, and quickly draft clear and accurate business communications. It significantly reduces time spent on repetitive tasks and allows me to focus on decision making and value creation. Beyond productivity, Copilot supports our RESONANCE ‘Unlock Innovation’ pillar by enabling more data driven, transparent, and efficient ways of working. It helps turn sustainability data, ESG requirements, and operational insights into actionable knowledge — supporting smarter innovation across the Group.”
Ljupcho Dimitrov
Business Development Manager,
SSE Group












