Aker Solutions

<h2>Artificial Intelligence is no longer a future ambition.</h2><p>The models exist. The tools exist. The real challenge is making AI work where complexity, scale and consequences already exist.</p><p>At Aker Solutions, we are building AI capability across engineering, industrial operations and energy infrastructure. Not as isolated experiments, but as part of systems that people rely on every day.</p><p><em>&quot;Everyone talks about AI changing everything. We focus on where it actually has to work.“ </em><strong>Ingvild Kalleberg</strong></p><div class="gobi-collection" data-gobi-collection-id="zm8mg"></div><p>Our ambition is not to explore AI at the edges of the business. We are integrating AI at the core of how we design, operate and improve industrial systems.</p><p>We work with technologies ranging from machine learning and industrial analytics to generative AI, AI agents and autonomous workflows. The challenge is rarely the model itself.</p><p>The challenge is making technology perform in environments where engineering, operations, data and people are deeply connected.</p><p>This work happens across boundaries. Between how a system is designed and how it behaves.</p><p>In practice, this means connecting engineering models, operational data and the decisions that shape major energy projects. We have already reduced engineering hours by 6-8% on several projects.</p><p><em>&quot;We are not building AI in isolation. We are building capability that becomes part of how systems are designed, operated and improved.“ </em><strong>Sara Amar</strong></p><div class="gobi-collection" data-gobi-collection-id="p4eak"></div><h2>What makes this environment different is not only the technology.</h2><p>It is the combination of deep engineering expertise, large scale industrial data and the opportunity to deploy AI into real projects and operations.</p><p>Many organizations are still experimenting.</p><p>We are focused on applying AI where reliability matters, where decisions have consequences and where technology becomes part of systems that the industry depends on, to shape how energy infrastructure is designed, built and operated.</p><p>Some of this is already happening today. Some is still being built.</p><p>All of it is part of a long-term ambition to shape how AI contributes to the future of energy and industry.</p><p>For people who are interested in connecting advanced technology with real-world impact, that is usually where things start to become interesting.</p><p>The challenges are complex, the environments are demanding, and the opportunity to create measurable impact is real.<br></p><div class="gobi-collection" data-gobi-collection-id="2gozz"></div><p><br></p>

The real work happens between systems