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At Haskoning, we use AI to help develop stronger answers to those questions. It gives our engineers and consultants more ways to explore options, test assumptions and use evidence in the search for better solutions for our clients and for society.
We use AI to widen what our expertise can do. Our people decide how it is used and remain responsible for the outcome. We understand the context behind the data: the technical constraints, the operational reality and the environmental or regulatory limits that shape a project. We know where a model is useful, where it needs checking, and what a result means in practice.
AI is part of a broader shift towards more data-driven and digitally connected engineering. It builds on capabilities already embedded in our work, such as digital twins, BIM, modelling, automation and advanced analytics.
Our clients see the value in the solution: better-tested options, clearer evidence and advice they can act on. AI helps us work with information that would otherwise be hard to use, from technical archives to live operational data. It can screen early options, retrieve evidence from source material and point engineers towards patterns that need closer review.
That changes the way choices are explored. Project teams can test more possibilities and discuss trade-offs with clients while there is still time to shape the outcome. The result is more than AI output. It is better engineering and consultancy, supported by better evidence.
Explore some of our projects and initiatives where we are applying AI to engineering challenges.
AI only adds value when it is used with care. For Haskoning, that starts with professional accountability.
AI supports our people. It does not sign off their work. A qualified professional remains responsible for the advice we give and for the decisions our work informs. We do not treat AI-generated output as authoritative without appropriate review, validation and professional oversight.
Before using AI, we consider the data involved, security requirements, client confidentiality and relevant regulation. Haskoning holds ISO/IEC 27001:2022 certification for its IT and digital services, independently verified by an accredited certification body.
Not every AI application carries the same risk. A model that supports an engineering decision needs a different level of review from a tool that helps organise documents. Our safeguards reflect how the application is used and what depends on its output.
AI requires computing power and physical infrastructure. We aim to use approaches that fit the task and avoid unnecessary resource use.
The growth of AI also increases demand for data centres. Through our data centre, energy, water and environmental expertise, we help clients understand and reduce the environmental impact of digital infrastructure.
See how Haskoning can help you achieve sustainability in your data centre design.
Tell us about the challenge you want to solve. We can help you understand where AI or advanced analytics can add value, what evidence is needed and how to apply them responsibly.
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