However simplified, this is still construction, and the process still involves big data.

In each case the representation is driven by what client and stakeholders need to see to satisfy themselves that the proposed solution meets their needs, but also to inform the wider team to decide what the next design iteration needs to look like to create an even better and more detailed solution.. At the end of this process, we have not simply a good design but also a transparent account of how expert knowledge and stakeholder requirements steered the decision-making process.This not only gives our clients the confidence that they have got the right solution, but ensures they understand why this design is preferable over all others.

We maximise understanding, efficiency and value.. An approach that feeds back into the business.This process reflects our experience and research on design, thinking and deciding.It is structured to guide and stimulate thinking and creativity.

It allows us to combine strategic knowledge on the client side with regards to their business, and our own design knowledge about how buildings work and are constructed.. Our creative use of digital construction technologies allows us to supercharge this process.We have embedded the process into our own management systems and the outputs we produce.

We update these continually so that we capture learnings and leverage them to improve the results of the projects that follow.

We train all of our teams in the approach and the senior management team helps in using it throughout.The diagram below shows how detailed requirements can be documented and managed through the design process, and compliance validated in the manufacture and assembly phase:.

Rigorous, automated QA gives total confidence in compliance.Automatic generation of models ensures that the correct components are used and are performing within their defined parameters and also that the data is properly structured and follows all of the information management protocols.. NB Even if the models are not automatically generated, the same principles can be used to create automated workflows e.g.

scripting or use of software such as Solibri.This helps ensure that even manually created models can be checked to ensure that again all of the technical requirements and constraints are being met..