The problem
Hemubo carries out large renovation and sustainability projects for housing associations, often hundreds of homes at a time. For every budget, an estimator had to translate facade drawings and housing types into cost items and material lists by hand. That took three weeks per project, and one misread facade rippled through the entire budget. On top of that, project information was scattered across systems and mailboxes, so "what did we agree on in this project again?" was a recurring search.
The solution
First we cleaned up and structured the project data, so there is one reliable source for the whole organisation. On top of that we built a calculation and analysis model that automatically links facade layouts and housing data to the right cost items and material lists per home. And because the data is now correct, an AI automation layer runs across the project and company data and carries out tasks itself, from proposing variants in maintenance plans to drawing up complete long-term maintenance budgets.
The result
A budget is now ready within days instead of three weeks, with minimal risk of error and full transparency towards housing associations, because every item traces back to a home and a facade. The whole organisation works on the same reliable data, and work that used to be weeks of manual calculation, such as a long-term maintenance budget, is now drawn up automatically. Nobody has to search for what was agreed in a project any more.
