This white paper explains how autonomous maintenance introduces a new operating model for real estate portfolios — one that reduces Total Cost of Ownership (TCO), improves Net Operating Income (NOI), stabilises asset value, and enables data-driven capital planning through continuous AI-led operational intelligence.

Key Takeaways

1. From Reactive FM to Predictable Performance
   Autonomous maintenance replaces fragmented, reactive workflows with continuous, intelligence-driven operations.
2. Direct Financial Impact
   REITs achieve 20–35% reactive reduction, 5–10% energy savings, and measurable NOI uplift through controllable OPEX reduction.
3. Lifecycle and Capex Control
   Continuous diagnostics reveal hidden asset deterioration, improving replacement timing and reducing unnecessary capital spend.
4. Portfolio-Wide Consistency
   Standardises asset decisions across sites, vendors, and geographies — independent of BMS or FM provider.
5. Stronger ESG and Valuation Outcomes
   Lower energy intensity and operational risk improve sustainability metrics, financing terms, and long-term valuation resilience.

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