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Increase productivity, reduce costs, and enable transparency by leveraging digitalization, data, and AI.

Efficiency and resilience are both key in order to stay competitive today. We help operations, supply chain, and innovation responsible navigate the digital and AI transformations to achieve operational excellence, increasing productivity and reducing costs. 

 

From strategy to implementation 

Whether by identifying relevant application cases, finding and testing the right technology solutions, or validating their business case, we provide support as an independent and impartial partner. The service is part of the expertise area Digitalisation and connected systems.

Close-up of an automated optical inspection system monitoring components on a digitalised production line.
Machine vision and automated inspection support data-driven production by creating visibility into process quality and operational performance.

Challenges

When production teams lack clear insight into data, systems and operational priorities, it may limit performance.

Unclear capacity utilisation limits performance 
Without a clear understanding of how capacity is used, production teams cannot identify bottlenecks or inefficiencies, leading to reduced output and pressure on margins. 

Uncertain asset condition increases operational risk 
When asset health is not clearly visible, risks of failures or instability remain unresolved, affecting safety and operational continuity. 

Lack of data trust delays decision-making 
If data exists but cannot be trusted or used effectively, teams cannot act on insights, which slows down improvements and prolongs inefficiencies. 

Difficulty identifying priorities across operations 
When multiple issues related to energy, emissions, safety and performance compete for attention, it becomes unclear which actions to take first, delaying progress. 

Benefits

Gain clear insights and priorities that support decisions, improve operations and structure digital production efforts

Clear operational overview for decision-making

A structured view of data, systems and operations makes it easier to understand current performance, identify issues and support day-to-day and strategic decisions.

Identified improvement areas and next steps

Defined priorities and actionable next steps help teams focus on relevant improvements, reducing uncertainty and enabling operational progress.

Better use of existing data and systems

Clarifying data quality and usability allows organisations to use existing information more effectively, supporting analysis and operational follow-up. 

Support for stable and sustainable operations

Insights into performance, capacity and energy use support efforts to maintain stable operations while addressing sustainability-related challenges.