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.
Six governing layers, one sovereign architecture. This document is The Ledger — here's where it fits in the canon.
Reading Order: Anchor → Source → Axis → Blueprint → Ledger → Mandate
Numbering: EPS‑000 (Anchor) · EPS‑001 → EPS‑005