Domain OPS

Everyday service and disaster work

Start here · Questions · Progress · People decide

Start with the jobs people need to complete and the support that makes those jobs dependable.

Question	What we are working out	AI-generated potential answers and research	Work state
OPS-01	What should the first complete version do for people each day and during a disaster, and where should its service limits sit?	AI-generated option: Begin with an account-free local calendar, checked notices and service finding, then add a clearly explained disaster service for approved information, assistance pathways and practical learning. Agree success through completed tasks and service-owner participation. AI-generated future concept: Let a person's chosen Aura explain the same verified service record through voice, text or XR, adjusting detail to their needs. Shared public information remains available independently of personal accounts, advanced models and an internet connection. Research examples: Sunshine Coast: Disaster Hub helps Coast stay safe · Wellington Region: Community Emergency Hubs	open
OPS-02	Which locations and equipment roles should the first service area connect so people retain useful options when a location is unavailable?	AI-generated option: Compare a small network across the island's settlements using everyday journeys, hazard exposure, access and shared dependencies. Give each candidate location an agreed purpose and alternate location, backed by a portable continuity kit. AI-generated future concept: Build a map that lets teams rehearse loss of a site, road or communication route. Auras could explain the remaining options, while a supervised mobile unit could provide a temporary public doorway at an agreed safe host. Research examples: Shoalhaven: Community Information Hubs Launched · Wellington Region: Community Emergency Hubs	open
OPS-03	What changing sequence of failures and recovery should a two-to-three-day practical exercise let people practise together?	AI-generated option: Plan a practical exercise over two to three days, connecting grid loss, ferry interruption, communications gaps, changing weather, staff relief and recovery. Use separate storm, cyclone and fire branches, with timed challenges and observable decisions. Record what was simulated and the actual participant time. AI-generated future concept: Use an XR or desktop twin to generate branching challenges while an exercise controller authorises each change. Future AI/SI assistants could compare decisions across runs and suggest a fresh branch without turning a simulation into real operational instructions. Research examples: Managing Exercises Handbook	open
OPS-04	What should people be able to do in everyday, disaster, disconnected and low-energy operation, and who should authorise the changes?	AI-generated option: Agree four visible service states: everyday, disaster, disconnected and low energy. Each state should explain available tasks, information age, connection limits, human responsibility and the next change trigger, keeping essential public guidance available throughout. AI-generated future concept: Let Aura explain why functions changed and forecast available service from measured energy and connection data. AI/SI could propose a change with supporting evidence; a narrowly delegated controller might apply only pre-agreed bounded actions and record the result. Research examples: Shoalhaven: Community Information Hubs Launched · Australia's AI Ethics Principles	open
OPS-05	Which help requests could an agreed receiving service handle, and how should responsibility continue if a person or connection becomes unavailable?	AI-generated option: Offer help-request categories only where an actual receiving service agrees to handle them. Show distinct stages for saved locally, delivered, accepted, assigned and completed, with responsibility and the next contact route clear at every stage. AI-generated future concept: A personal Aura could assemble a person-approved request, track acknowledgements and help them choose another available route. A future logistics robot could receive a separately authorised delivery task after a human or delegated service accepts responsibility. Research examples: GIVIT: national disaster resources · Wellington Region: Community Emergency Hubs	open
OPS-06	What people, shifts, relief and qualified support would keep the service useful throughout the exercise?	AI-generated option: Build a roster around actual availability, qualified duties, relief and handover, including periods when assistance is unavailable. Let people learn practical support roles while experienced practitioners retain tasks that require their competence and authority. AI-generated future concept: Use Aura-supported practice and XR walkthroughs to help a relief worker learn an agreed task before taking over. Robotics could handle repeatable inspection or transport work within tested limits, with a named supervisor and a practical manual fallback. Research examples: Wellington Region: Community Emergency Hubs · Managing Exercises Handbook	open
OPS-07	How should responsible people keep resource condition, availability, allocation and replenishment clear across disconnected locations?	AI-generated option: Track each resource's custodian, location, usable quantity, reservations, condition and last check. Make allocations explicit, keep disputed or old counts visible and require physical confirmation before promising scarce supplies across disconnected locations. AI-generated future concept: With consent, sensors or scanned labels could help custodians update stock and condition. An AI planner could suggest replenishment and a future delivery robot could execute a bounded task after allocation, route and handover are authorised. Research examples: GIVIT: national disaster resources · Wellington Region: Community Emergency Hubs	open
OPS-08	How should the network guide people and continue service when a kiosk location becomes unsafe or unavailable?	AI-generated option: Give each site a closure and continuity plan with a named decision role, last-confirmed availability and alternate public doorway. Share closure notices through remaining channels and explain uncertainty before directing people toward a replacement location. AI-generated future concept: Auras could compare signed availability reports and explain which options remain, with last-check times. A future portable robot or vehicle-based kiosk could relocate only after a competent person confirms the destination, route and operating scope. Research examples: Wellington Region: Community Emergency Hubs · Redland City Council: disasters and emergencies	open