Metadata gaps, lineage tooling, framework maturity — that's how governance gets pitched, and why the business stops listening. Start instead with the question every executive already cares about: who decides when this number changes?
Every contractor structures their programme differently. Without a governed WBS master library, the portfolio view is fiction.
The AI conversation collapses three very different capabilities into one word. A taxonomy for telling them apart — and where each pays off across the lifecycle.
From IoT sensors and edge devices up through GIS and simulation — what each layer does and where the integration debt hides.
Information management standards are codified decision rights. How CDE status codes quietly run your project.
Who is using AI in pre-construction? What documents is it reviewing? What data feeds it? What risks does it flag — and miss? Who verifies the output? And who owns the liability when it's wrong? AI governance in six lines.
OneLake as the lakehouse, semantic models as the serving layer, Power Apps and Data Agents as the product surface — one platform spanning three Atlas layers, and the governance catch that comes with it.
Free-text daily reports are where analytics goes to die. Structured field capture as the cheapest governance win available.