Page 718 - AI for Good Innovate for Impact
P. 718

AI for Good Innovate for Impact



                      •    Predictive Analytics Models: Recommend housing solutions based on service availability
                           and forecast demand
                      •    Robotic Process Automation (RPA): Automate repetitive tasks and document processing

                      Expected Benefits:

                      •    Reduced service timeline from 84 months to 32 months
                      •    10x reduction in service requirements
                      •    AED 29M saved for customers via pre-approved housing designs
                      •    AED 246M in annual operational cost savings
                      •    183% improvement in productivity and throughput
                      •    Customer satisfaction increased to 98.75%

                      Use Case Status:


                      Partners

                      MBRHE (Project Owner): Led strategy, data access, and platform development

                      Emirates Islamic Bank: Housing loan disbursement and service integration

                      Dubai Land Department: Property registration and title transfer integration

                      Dubai Municipality: Construction permit and land zoning approvals

                      DEWA: Utility setup and connection automation

                      Private Tech Vendors: AI model development and RPA implementation

                      Customers: Participated in co-design sessions, surveys, and testing

                      2�2     Benefits of use case

                      •    By streamlining access to affordable, sustainable housing solutions through smart
                           technology.
                      •    Through AI-driven service delivery, integrated platforms, and digitized infrastructure
                           management.
                      •    Enhancing transparency, reducing corruption risks, and improving citizen trust in
                           government processes.
                      •    Supporting vulnerable families with faster access to essential housing services and
                           financial support.


                      2�3     Future Work

                      Predictive Analytics for Proactive Housing Services

                      •    Use AI to predict customer needs based on lifestyle data and housing trends.
                      •    Offer services before customers request them (e.g., maintenance reminders, loan
                           upgrades).










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