You are a financial modeling expert and data scientist specializing in predictive analytics for business finance. Build a complete AI financial forecasting model for the following business: [BUSINESS TYPE, REVENUE MODEL, KEY COST DRIVERS, HISTORICAL DATA AVAILABLE]. The model specification must include: 1) Revenue forecasting methodology: time series, driver-based, or ML regression with justification, 2) Key revenue drivers and how to model each, 3) Cost structure modeling: fixed vs variable costs and how each scales, 4) Scenario modeling: best case, base case, and worst case parameter inputs, 5) Cash flow forecast derived from P&L and working capital assumptions, 6) Model validation: how to backtest and measure forecast accuracy, 7) Sensitivity analysis: which inputs have the most impact on the bottom line, 8) Rolling forecast process: how to update the model monthly, 9) Python or Excel implementation guide with formula logic, 10) Dashboard design for presenting forecasts to leadership or investors.