I want to bring an AI-driven cash-flow automation platform to life—ideally delivered as a web-based solution so clients can log in from anywhere without installing software. The core of the build is to streamline three key processes for small- and mid-sized companies across retail, service, and manufacturing: • Invoicing & payments: auto-generate invoices from sales data, predict optimal payment reminders, and reconcile incoming transactions in real time. • Expense tracking: classify expenses with machine-learning models, flag anomalies, and feed everything into a searchable ledger. • Financial reporting: surface live cash-flow forecasts, profitability snapshots, and exportable statements that CFOs can trust. You’ll architect the back-end logic, choose the most appropriate AI/ML stack (think Python, TensorFlow or similar), and integrate with popular accounting tools such as QuickBooks or Xero where possible. A clean, responsive front end that makes insights obvious at a glance is essential. Deliverables 1. MVP web platform running in a cloud environment (AWS, GCP, or Azure) with secure user auth. 2. Trained models that achieve reliable categorization accuracy and forecasting performance (we’ll validate against historical data from the three target industries). 3. API documentation and a short video walkthrough so in-house teams can continue development after hand-off. Acceptance criteria will be a working demo on a staging URL and a code repository I can run locally with straightforward setup instructions. If this sounds like a challenge you can tackle, let’s discuss timelines and the smartest roadmap to launch.