Data sovereignty and compliance prevent most enterprise buildings from using cloud-based AI. Here's why that constraint is dissolving — and the 4-step path to on-premise building AI deployment that works.
VTS Asset Intelligence is the highest-threat agentic CRE launch of Q1 2026. A practitioner evaluation of the accuracy claims and the vendor lock-in question.
ProptechOS promises 40% operations automation via the RealEstateCore open standard. A practitioner evaluation of who it's for, what data readiness it requires, and when it's premature.
Cherre's Agent.STUDIO lets enterprise CRE teams deploy their own AI models on top of a unified real estate data layer. A practitioner review of the architecture, use cases, and the bet it's making against vendor lock-in.
Three distinct twin types, three different ROI profiles. How to choose between 3D geometric, data twin, and semantic BIM based on your building's data maturity and operational pain.
JLL's 2025 survey: 88% of CRE firms run AI pilots, only 5% achieve goals. This IPMVP-grade 5-step framework separates deployments that deliver from ones that stall.
Most AI-FM deployments stall because predictive tools get bolted onto reactive teams. The fix isn't better software — it's restructuring how FM performance is defined and rewarded.
AI lease abstraction is fast. But which fields can you trust without review — and which require override before acting? A practical reliability framework with accuracy benchmarks by clause type.
For a decade, smart building pilots produced impressive slide decks and modest energy savings. In March 2026, something changed. Here is what shifted — and what FM leaders need to do before their peers figure it out.