An AI Resilience Audit is a structured assessment of how long a site can maintain essential functions under disruption scenarios. The audit combines questionnaires, photographs, equipment data, energy loads, floor plans, staff roles, stockpile status and service constraints.
Audit inputs
- Site type, users and occupancy patterns.
- Critical functions and acceptable downtime.
- Electrical loads, existing backup power and renewable assets.
- Water use, storage, treatment and hygiene requirements.
- Communication channels and fallback options.
- Emergency stockpiles, storage conditions and expiry dates.
- Maintenance responsibilities and inspection history.
AI-supported analysis
AI can classify equipment, summarise documents, compare site data with scenario templates, identify missing information, generate checklists and prepare a first version of an autonomy gap analysis. It can also support multilingual communication and generate management-level reports.
Human review
Autonomy planning is safety-relevant. AI output should be treated as decision support, not as an automatic authority. Technolitas positions the audit as an expert-reviewed workflow: AI accelerates analysis, while engineering judgement checks assumptions, priorities and implementation logic.
Audit output
| Autonomy score | Estimated ability to maintain essential functions under selected scenarios. |
|---|---|
| Gap analysis | Weak points in power, water, communication, stockpiles and operations. |
| Upgrade path | Prioritised actions for 72 / 120 / 240-hour targets. |
| Equipment logic | Validated categories and specifications for procurement or RFQ. |
| Maintenance plan | Inspection, testing, replenishment and reporting rhythm. |