The problem
Construction projects rarely fail because of structural calculations. They fail because up to 70% of project costs reside in materials, while procurement awards and gate deliveries are handled via spreadsheets, WhatsApp messages, and paper receipts.
Historical disasters
When the supply chain fractures.
Parliamentary Inquiry Fyra 2015 · Netherlands Court of Audit 2024
The triple crisis
Office, gate, and memory.
The breakdown of traditional construction procurement unfolds across three consecutive operational stages:
1. Pre-construction clerical bottleneck: Estimators spend 31.7% of working hours on administrative data entry instead of value analysis. Calculating a single formal tender quotation takes a median of 42 labor hours. While contractor margins remain compressed between 1.0% and 2.0%, construction failure costs run between 5% and 11% of turnover.
2. Jobsite and gate breakdown: 70% of delivery trucks wait up to 50 minutes at the site gate due to manual checking. 95% of delivery tickets failed data quality criteria in an audit of 831,206 records. Delivery failures halt 8% to 25% of scheduled tasks on site.
3. Institutional amnesia: 78% of material procurement relies on informal emails and WhatsApp chats. Less than 50% of field purchases comply with negotiated master agreements. At one contractor studied, cleansing more than 1,000 historical projects left 54 usable, while on 500 to 600 million euro projects fewer than 5% of staff stay from tender to completion, one interviewee estimates.
Donyavi et al. 2024 · Laryea & Hughes 2011 · EIB 2014 · Aldeeb 2024 · Qflow 2025 · Rockx 2023, TU Delft · Steuer et al. 2023
Why now
Regulation demands auditable proof.
Precision
Generic AI fails to calculate reliably.
€8,354
swing on one subcontractor total when a generic enterprise AI tool got the same input in a new session
Hamppi 2025, Aalto University. Case study based on an internal Skanska experiment.
In an internal Skanska experiment, a generic enterprise language model returned different numerical outputs for identical procurement inputs, with deviations up to 28%. This is the inherent nature of probabilistic language models (Atil et al. 2025).
A language model predicts the most probable next word; an optimization engine calculates the mathematical optimum. Procurement decisions involving contract liabilities require exact mathematics, not statistical approximations.
Dundir decouples language from computation: the AI layer structures specifications, while the deterministic solver calculates the optimal allocation.
Four ways in
Where you come in depends on what you need.
Become a research partner
Construction SMEs join the research track with Windesheim. No cost, and a say in what gets built.
What it involves Way in 02Pilot as a design partner
The system is not finished. You decide what it gets calibrated on, and you own the result.
Terms Way in 03Procurement scan
Ten questions about your current process. Report on screen straight away. No email address needed to read it.
Start the scan Way in 04A 30 minute conversation
No deck, no pitch. We ask the questions.
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