Build the capability the business needs
Some companies need additional internal capability, others specialist support for a defined piece of work. What the choice depends on, and how to decide.
An external partner should be able to work alongside your IT, systems and operational teams, rather than assume there is no capability in place.
What "AI literacy" means in a built-environment business
AI literacy isn't knowing how transformers work. It's knowing which work in your business AI is good at, which work it's bad at, and how to write a useful prompt.
That's a learnable skill. It takes most people 8–12 hours of structured training to reach a basic working level: about a day and a half of focused work, spread across two or three weeks.
The training looks less like a classroom and more like supervised practice. The QS works on her own tenders, with someone showing her where AI fits.
Who to train, and in what order
The QS, the bid manager, and the most senior admin touch the most repeatable AI-suitable work in a typical built-environment business, so they are often a sensible place to start. Project managers and operations leads follow: different work, different tools, similar approach.
Leadership needs enough understanding to set priorities, judge investment and agree how AI should be used. Role-specific training can then help the relevant teams apply it in their work. The sequence should reflect the business, rather than always leaving leadership training until the end.
How to know your team is ready
The test is whether they can recognise where AI doesn't belong.
A well-trained team will tell you when an AI workflow isn't worth building: the gain is small, the failure cost is high, or there isn't enough volume to justify the setup.
That judgement is the outcome of training. Tools are easy. Knowing where to use them compounds.