I need a purpose-built CRM for the strata industry that leans heavily on AI to wipe out repetitive admin and give committees, owners and managers instant insight. The solution must weave in predictive analytics to flag maintenance and arrears before they surface, natural language processing so residents can lodge requests or search by-laws in plain English, and automated data entry that lifts information straight from invoices, minutes and inspection reports. The underlying platform is your call—web, mobile, desktop or a hybrid—so long as it comfortably scales to thousands of lots and high concurrent traffic without performance dips. Core functional areas I have in mind: • Centralised contact & lot database with role-based access • Ticketing thread that auto-classifies messages and drafts suggested replies • Smart document vault with tagging and version control • Finance module that syncs with existing accounting software and auto-produces levy notices • Live dashboard summarising KPIs and AI-driven alerts Deliverables: • End-to-end technical architecture and stack proposal • Iterative builds in a visible repo • Production deployment with monitoring • Training materials and a clean hand-over pack • Acceptance demo on a sample building plus a load test simulating 10,000 concurrent users If you’ve previously merged CRM frameworks with machine-learning tools such as TensorFlow, PyTorch or Azure AI, and understand Australian privacy requirements, walk me through your approach and timeline so we can move this forward.