This paper proposes the enhanced use of software to assist in planning resilient and sustainable cities, specifically in terms of water management. Many sources offer updated data and historical records, but they are from disparate sources and lack in-depth analytical power. The objective is to provide a methodological, although speculative, decision-making support and encourage popular engagement. It is proposed a structure using Artificial Intelligence to actively create a unified database capable of organizing data analytically, both for current assessments and predictive modeling. This would allow for faster and more accurate pattern recognition than solely human-driven analysis. Although, due to possible compliance problems, especially ethical issues and the possibility of the emergence of political biases in algorithm design, it is suggested to create a regulatory and supervisory committee, managed by universities, forming a locus to foster debate and development, drawing on the diverse perspectives of various civil society sectors. Technology would partner with humans to develop Sustainable Social Intelligence. When combined with education, which offers broader structuring knowledge than isolated technical knowledge, this partnership has the potential to widely share information and significantly boost community engagement, sustainability and resilience. Above all, collaborative action is recommended: designing for people.