Volve AI to help automate tendering and pre-construction tasks
New orchestration layer enables contractors to more easily compare information across specifications, drawings and BIM models

Key takeaways
The announcement introduces an orchestration layer for automating tendering and pre-construction tasks.
Its focus is comparing specifications, drawings, and BIM models in one workflow.
The stated aim is to make cross-document review easier for contractors during pre-construction.
AEC Magazine reported on 6 October 2026 that Volve has added an orchestration layer to its platform. It is designed to automate more complex tasks across calculations, estimating and the interpretation of drawings and BIM models.
At a glance
Outlet: AEC Magazine
Topic: orchestration layer for tendering and pre-construction
Example task: check that the quantities in the specification match the drawings and the IFC model
How it works
Users give the system a task in natural language. Volve determines the steps required, runs the checks across the tender and verifies the results before returning its findings, with the source behind each one.
What it changes for estimating teams
Less manual comparison. Finding discrepancies between specifications, drawings and BIM models can today mean someone reviewing each source by hand.
Earlier detection. Teams can find inconsistencies while an estimate is still being developed.
Support for bid decisions. The same platform supports decisions such as whether to bid, how to price the work and which risks to accept.
In Herman’s words
“We have always built toward AI that assists the expert tasks in tendering. What has changed is the architecture, and with it the speed,” said Herman B. Smith, co-founder and CEO of Volve. He added that checking quantities against drawings and technical specifications is a first case, and will not be the last.
Read more
Read the article in AEC Magazine. The update is also covered by Het Nationaal BIM Platform.
Learn how Volve works on the Features page.
See how Volve turns document complexity into decisions
Explore how construction teams surface risk, trace requirements, and carry a clearer baseline into delivery.
