Aarni Heiskanen

AEC companies trying to operationalize AI often find they lack the data foundation on which to build. There may be an abundance of data hidden in documents, but you can’t reliably use it for AI. The lack of data quality was a key topic discussed at the AI in AEC 2026 conference. During the event, I met many experts working to solve this problem, including Pavlina Nikolova, Egnyte‘s EMEA AEC Practice Lead. The chat and her presentation highlighted the challenges and ways to overcome them.

If there’s one piece of software that dominates the business world across industries, it’s Microsoft Excel. Can AI finally dethrone the mighty spreadsheet? Everyone has memorable spreadsheet moments. I have a few. For example, my then-architecture firm was involved in more than a dozen housing developments abroad. I developed an Excel workbook that took the required number of households as input and automatically generated a breakdown of buildings and their apartment types for AutoCAD.

I recently talked with Chris Brady, an AI adoption consultant based in Birmingham, UK, who has spent 18 years working in construction. Two years ago, he began integrating AI into his work with contractors and SMEs, initially as an add-on service, and it has since become his main business.