By Benjamin Cuaresma
MANILA — CrisisOps is promoting an artificial intelligence-driven system to help Philippine local governments prioritize resources and prepare vulnerable communities for the potential impacts of Super El Niño in 2026–2027.
During Wednesday’s Kapihan sa Manila Bay media briefing in Manila, the technology company presented its approach to combining climate forecasts, local data, field reports and sensor technology to improve disaster preparedness and emergency response.
CrisisOps said its platform is designed to help authorities identify communities at risk, determine available resources and prioritize interventions affecting water supplies, agriculture and essential services.
One example involves water distribution, where officials could compare community needs, alternative water sources, available tankers and delivery requirements to determine which areas should receive assistance first.
The company calls its approach “Physical AI for Climate Resilience.” Its Command and Operational Intelligence Networks platform connects hazard information with resource requirements, while its CrisisOps Edge hardware prototype is being developed to process information from weather instruments, water measurements, cameras and equipment sensors.
Co-founder Jason Keith V. Boñaga and Asian Institute of Management professor Chad Michael Briggs discussed technology, disaster operations and risk management.
CrisisOps reported 40 local government pilots and two national government agency pilots but provided no detailed performance results in the media brief.
The effectiveness of the initiative will depend on reliable data, timely decisions and local governments’ ability to turn assessments into concrete action before shortages and emergencies intensify.
ia/xf
