Every performance figure behind the Intelligent Design Lifecycle Framework (IDLF) is backed by an independent, named source — not a projection. Scan the scoreboard below for the headline numbers, or jump into any division for the full study.
| Source | Division | IDLF Phase | Key Metric |
|---|---|---|---|
| AUGU — BIM & VDC | Design | Design → Build | Fewer RFIs & change orders |
| Dodge Data & Analytics (2014) | Design | Plan → Design | 75%+ BIM ROI |
| Mortenson — IPD (2019) | Design | Lead Constructor | On/under budget delivery |
| EPRI — Digital Twins | Operations | Operate → Optimize | 15–35% energy savings |
| JLL / P&G — IntelliCommand | Operations | Operate → Scale | 3-month payback |
| McKinsey — Analytics Maintenance (2021) | Ops + Protect | Operate → Protect | 18–25% cost reduction |
| Schindler / IBM IoT | Protection | Commission → Protect | 10–25% maint. reduction |
| McKinsey — Prediction at Scale (2021) | Protection | Commission → Protect | Up to 50% less downtime |
| PwC / McKinsey / Deloitte Consensus | Protection | Protect → Compound | 7:1 ROI |
Three studies confirming that BIM and integrated delivery eliminate operational drag before groundbreaking — locking in the ~75% design-and-construction ROI tier that every later lifecycle return compounds from.
Examines BIM and VDC workflow benefits from the general contractor's perspective — where clash detection and coordinated models replace fragmented consultant drag.
North American benchmark study on BIM ROI at scale — one of the most cited references in the industry.
Shows how IPD — combining BIM, collaborative contracting, and lean construction — transforms outcomes across healthcare, higher education, and commercial sectors.
Three studies validating 15–35% energy reduction and 18–25% maintenance savings through Digital Twin and real-time predictive intelligence — from utility-scale research to named corporate deployments at 28M sq ft.
Digital Twin applications for energy infrastructure show how real-time virtual replicas let operators optimize performance and anticipate failures before they occur.
JLL's IntelliCommand platform — IoT, remote monitoring, and a dedicated engineering team — was deployed across 12 P&G buildings (3.2M sq ft), including the Cincinnati HQ campus. Result: an Environmental Leader Product & Project Award, and a program later scaled to 120 buildings.
Documents an IoT analytics and remote-troubleshooting deployment at a large medical-device manufacturer — an architecture that mirrors AESIT's SBLM model precisely.
Three studies confirming 10–25% maintenance reduction and 7:1 ROI through IoT predictive intelligence — from a named global deployment to a McKinsey industrial benchmark and a three-institution consensus.
Schindler partnered with IBM to shift its global service model from reactive repair to proactive performance management.
Multi-sector study across power generation, mining, oil & gas, and renewables — real deployments spanning wind turbine gearboxes, compressors, and heavy equipment engines, each following an IoT-to-analytics pipeline that maps directly onto AESIT's SBLM architecture.
Three of the world's foremost advisory institutions independently converge on the same performance range for IoT-enabled predictive maintenance — across manufacturing, energy, healthcare, and facilities management.
Bring your portfolio to a 30-minute Compounding Intelligence Assessment. We'll map your assets against the IDLF and show you, in numbers, where the compound already starts.
Five publications, one compounding philosophy. This document is Stage 4 — here's where it fits in the larger story.