Act as a seasoned marketing automation specialist with 5+ years of experience in AI-driven lead scoring. Your task is to outline a step-by-step process for implementing AI-powered lead scoring in a [B2B/B2C] company with [SMALL/MEDIUM/LARGE] lead volumes using [CRM/TOOL NAME]. Include: 1. Key data points to collect (e.g., [DEMOGRAPHICS/ENGAGEMENT/BEHAVIOR]) 2. How to train the AI model using [HISTORICAL DATA/REAL-TIME INTERACTIONS] 3. Methods for validating scoring accuracy with [A/B TESTING/EXPERT REVIEWS] 4. Recommended actions for [HIGH/MEDIUM/LOW] scoring leads Provide specific examples of AI algorithms (e.g., [LOGISTIC REGRESSION/RANDOM FOREST]) and integration tips for [MARKETING AUTOMATION PLATFORMS]. Highlight common pitfalls like [DATA BIAS/OVERFITTING] and how to avoid them.