Q: Where do projects usually go wrong, and why is this becoming the norm?
A: Projects often go wrong at the planning table, long before anyone's on site. That's the part people miss. Everyone points to the moment a project visibly derails, a specialist trade that's priced at tender has moved on by the time work starts, a design detail resolves differently than assumed, a programme that looked tight but achievable begins to slip. But that's just where the problem becomes visible. It was created months earlier, when the project was priced against a fixed set of assumptions and sent out into a market that had no obligation to hold still. What's changed is that this used to be the exception, whereas now it's becoming the norm. Contingency lines are sized to absorb it, variations get negotiated as routine, programmes are expected to flex and the industry has quietly redefined ‘default’ to include a level of overrun that would have been considered a failure a decade ago. At Woodalls, we don't accept that redefinition. A project going over budget isn't bad luck on site. It's a predictable outcome of choosing a pricing model built for a market that no longer exists.
Q: What's actually driving that shift right now?
A: Three things at once really.
- The buildings themselves have changed. Data centres, battery and semiconductor plants, and life sciences facilities dominate the pipeline, and they carry technical complexity that ordinary commercial or residential builds never did.
- The labour market has tightened. Cleanroom fit-out specialists, high-voltage engineers, controls technicians (the people who can actually deliver these buildings), are in short supply across most of Europe, and availability now moves week to week, not year to year.
- The commercial stakes have risen. For a data centre, the gap between financial close and going live isn't overhead it's unearned revenue. Every month of delay is a month a competitor captures instead.
Put those three together and a pricing model built to absorb slow, incremental change starts to buckle. It finds its problems on site, at the point they're most expensive to fix, in a market that can least afford the delay.



