Case study

Turning engineering know-how into tools

Before this practice, this website held five small planning tools for BIM and project teams. They are a worked example of productising expertise: taking what an experienced practitioner knows and making it something other people can use without that practitioner in the room.

5
small planning tools
1
decision each
Free
no account needed
0
data sent to a server

What they were

The five tools helped a team think through a first plan for BIM work: how large a team might need to be, a budget scenario, the effort in producing drawing documentation, a pilot and rollout for a four dimensional planning approach, and a readiness check for a shared data environment. Each answered one question and nothing more.

They were free and needed no account. What a visitor typed stayed in their own browser and was never sent to a server.

How the know-how became a tool

  1. 1Start with one decision. Each tool was built around a single decision a project team has to make early, not around a list of features.
  2. 2Ask only what people can answer. The questions were ones a team could answer on day one, with a way to say “not sure” instead of guessing.
  3. 3Show the assumptions. The reasoning behind a result stayed visible, so a reader could disagree with it and change it.
  4. 4Say what it cannot do. Every result carried its limits next to it. The tools were for early guidance, not for relying on in place of professional judgement.

Why I stopped

I retired the tools to focus this site on the work I now do: helping firms and vendors take construction AI from pilot to product. I have no usage figures or results to claim for the tools, and I do not make any here.

What it shows

The same discipline applies to AI tools in construction. A tool is not a product until it has a named owner, real users, one metric the business already tracks, a defined level of autonomy and a rollout plan that survives the second project. Getting a tool to be understandable and honest about its limits is the first part. Getting it adopted is the rest.

Turn your know-how into a tool See how I help with the rest →