Why 92% of CRE Teams Pilot AI and Only 5% Ship It
92% of enterprise CRE teams have piloted AI in the last 18 months. About 5% have shipped it into production. The gap is not a model problem. It is a methodology problem — and it has a name.
AI Building Intelligence for CRE Leaders. Decision-grade research, live pilot case studies, and ROI frameworks powering the smart building revolution.
Practitioner intelligence covering every layer of AI-powered building operations — from HVAC optimization to grid-interactive revenue.
BrainBox vs 75F teardowns, IPMVP case studies, sensor fusion deployment guides
Local Law 97 impact, carbon credit strategies, RE100 pathways for CRE portfolios
FDD vendor comparisons, condition-based maintenance ROI, CMMS integration
Digital twin platforms, BIM integration workflows, lifecycle costing frameworks
Sensor fusion models, activity-based working, density optimization for hybrid
VPP participation, TOU arbitrage, Taipower constraints, BESS monetization
Horizontal architecture, Brick Schema/Haystack, API-first vendor evaluation
BAS security frameworks, OT/IT convergence risk, insurance requirements
How an AI-HVAC savings claim is verified in APAC facilities: what IPMVP Option C can and cannot prove, and why grid constraints change the payback maths.
Practitioner-grade tools, not vendor brochures. Every resource built from live operational data.
Input your building sqft + annual energy bill. Get projected savings at 15/20/25% efficiency tiers with payback timeline.
Total cost of ownership comparison: BrainBox AI vs 75F vs Siemens DVO vs Johnson Controls OpenBlue.
Jurisdiction-by-jurisdiction compliance requirements mapped to building archetypes. APAC + US coverage.
Step-by-step planning template with ROI milestones, regulatory triggers, and technology sequencing.
4 anonymized case studies showing FDD vendor performance against maintenance spend reduction targets.
Weighted scoring framework for evaluating smart building platform vendors. Horizontal vs vertical architecture.
Weekly insights from live operations, vendor evaluations, and market analysis.
92% of enterprise CRE teams have piloted AI in the last 18 months. About 5% have shipped it into production. The gap is not a model problem. It is a methodology problem — and it has a name.
Building-as-a-Service platforms have crystallized into three dominant deployment patterns in 2026 — overlay AI (Trane/BrainBox), full-stack autonomous (PassiveLogic), and enterprise EPM (Johnson Controls OpenBlue, Honeywell Forge).
Published: 27 April 2026 · Strategic Reframe · 8-min read For most of the last decade, the answer to "what makes a smart-building platform defensible?" was "the BMS engine." If you owned the building automation core — protocols, drivers, point…
Q2-2026 as the AI-HVAC inflection point — acquisition, published trial results, and the APAC grid reframe read together.
Four 2026 events have collapsed embodied carbon from a "next-cycle" disclosure problem into a current-quarter asset-value problem. GRESB now scores it (–8 to 0 point hits on Development).
A practitioner's IPMVP walkthrough for verifying a published vendor savings claim before it reaches your capital plan.
In January 2026, PropTech venture capital hit $1.7 billion — a 176% year-over-year increase. That's not a trend. It's a market re-rating. For facilities managers and CRE directors evaluating AI building platforms, this capital surge creates a…
The building dashboard was never designed to run a building. It was designed to show you what was happening — so a human could decide what to do next.
Three convergent intelligence streams are landing on the same thesis today: the agentic AI moment for buildings has arrived, the market is accelerating past pilots at scale, and facility managers who are still managing dashboards are already a…