Executive view
Autonomy should be measured before it is sold.
Resilience discussions often become vague: “prepared,” “safe,” “autonomous,” “backup-ready.” The Autonomy Score methodology converts those words into a structured engineering assessment. It evaluates how long a building, organisation or community site can maintain essential functions under defined disruption scenarios and where the main weaknesses are.
The method is designed for practical projects: buildings, schools, warehouses, apartment buildings, farms, shelters, resilience points and supplier pilots. It supports 72 / 120 / 240-hour autonomy planning and connects analysis to equipment configuration, implementation boundaries and maintenance routines.
1. Score dimensions
The methodology uses nine dimensions. Each dimension is assessed independently, then combined into a practical readiness profile.
| Dimension | Meaning | Typical evidence |
|---|---|---|
| Energy autonomy | Ability to power essential loads for defined scenarios. | Critical-load list, UPS/BESS/generator data, battery tests, fuel/solar assumptions. |
| Water autonomy | Access to drinking water, basic hygiene and water-dependent functions. | Storage, treatment, rotation, pump power, distribution plan. |
| Communication continuity | Ability to communicate internally and externally when normal channels degrade. | Mobile, radio, satcom, routers, contact trees, test logs. |
| Stockpile readiness | Presence, condition and maintainability of emergency supplies. | Inventory, expiry dates, photos, inspections, replenishment log. |
| Operational roles | People know who activates, checks, communicates and restores. | Role list, training records, drill notes, escalation plan. |
| Documentation | Readiness can be explained, audited and repeated. | Plans, checklists, manuals, supplier files, reports. |
| Maintainability | Systems remain ready after months and years, not only after installation. | Service intervals, test schedule, warranty, spare parts, responsible owner. |
| Supplier/service dependency | Dependence on external technicians, consumables, networks, cloud services or proprietary parts. | Supplier map, spare-parts lead time, service SLA, offline fallback. |
| Recovery time | Speed of restoring minimum function after disruption. | Restart procedure, access to parts, staff availability, alternate sites and recovery checklist. |
2. Score levels
A simple five-level scale makes results readable without hiding engineering detail.
| Level | Interpretation | Typical state |
|---|---|---|
| 1 | Unstructured | No reliable inventory, no critical-load model, no responsible owner, no evidence. |
| 2 | Basic | Some equipment exists, but documentation, testing and maintenance are weak. |
| 3 | Operational | Essential functions are identified, equipment is mapped and periodic checks exist. |
| 4 | Managed | Monitoring, inspection evidence, roles, replenishment and service routines are active. |
| 5 | Resilient | Scenario-tested, maintained, documented and able to adapt under prolonged disruption. |
3. Assessment inputs
The Autonomy Score can begin as a remote assessment, then deepen through site visits and sensor/equipment data.
Site type, people count, operating hours, critical functions, disruption concerns and existing equipment.
Floor plans, electrical diagrams, supplier manuals, maintenance records, inventory sheets and emergency plans.
Storage rooms, panels, backup devices, exits, signage, water points, communications and access routes.
Battery capacity, UPS runtime, generator rating, fuel capacity, PV output, router and radio details.
Responsible persons, contact trees, activation process, drills and staff availability.
Grid, water supply, mobile network, fuel deliveries, supplier parts, cloud systems and access roads.
4. 72 / 120 / 240-hour methodology
The same site can score differently by target duration. A school may be adequate for a 72-hour limited continuity scenario but weak for 120 hours if water, sanitation or battery maintenance are insufficient. A farm may have strong energy autonomy but weak communications fallback. A warehouse may have good generator capacity but no documented recovery procedure.
| Scenario | Purpose | Typical evaluation emphasis |
|---|---|---|
| 72 hours | Initial emergency self-sufficiency and continuity. | Essential supplies, communications, lighting, access, selected power and basic roles. |
| 120 hours | Longer disruption with maintenance and replenishment pressure. | Load reduction, water rotation, sanitation, staff roles, battery/generator tests and stock condition. |
| 240 hours | High-resilience or recovery-site planning. | Solar/fuel replenishment, spare parts, service dependency, recovery logistics and multi-site coordination. |
5. Outputs
A useful score must lead to decisions. The recommended output package includes:
- overall autonomy profile and dimension scores;
- critical-load map and runtime assumptions;
- water, communication and stockpile gap analysis;
- maintenance and inspection weaknesses;
- equipment categories required, with compliance questions;
- quick-win actions that do not require heavy investment;
- implementation roadmap by priority;
- evidence checklist for management, insurer, public buyer or partner review.
6. Applications
| Application | What the score clarifies | Next action |
|---|---|---|
| Building owner | What essential services remain available during outage. | Power continuity package and inspection routine. |
| Supplier pilot | Where a product fits into a real autonomy gap. | Pilot design and measurable success criteria. |
| Municipality | Which sites are weakest and which upgrades are repeatable. | Multi-site readiness map and procurement package. |
| School | How staff, supplies, power and communication work together. | StockpileOps and shelter operating-layer setup. |
| Farm / rural site | Energy, water and communication dependencies. | Solar-ready backup architecture and water plan. |
7. AI role in the methodology
AI can accelerate the assessment by structuring input data, identifying missing information, drafting scenario narratives, summarising logs and producing first-pass gap analysis. Final judgement should remain human-reviewed, especially where electrical systems, safety, buildings, communications or public procurement are involved.
8. Strategic conclusion
The Autonomy Score turns resilience from a vague aspiration into a repeatable engineering conversation. It helps customers understand their current position, suppliers understand where their technology fits, and integrators define project scope without overbuilding.
The strongest commercial use is as a front-end method for projects: assess first, configure second, implement third and maintain continuously.
Sources and basis
- European Commission — EU Preparedness Union Strategy and 72-hour preparedness guidance.
- European Commission — EU Stockpiling Strategy.
- European Commission — Critical Entities Resilience Directive context.
- European Commission — NIS2 Directive and continuity/cybersecurity context.
- Scientific Advice Mechanism — AI in emergency and crisis management evidence review.