AI transforms sales efficiency and win rates across the funnel. Lead scoring: gradient boosting model trained on closed-won/closed-lost deals with features: firmographic (company size, industry, revenue), behavioral (website visits, email opens, content downloads), fit (job title, technology stack). Achieves 3-5x improvement in SQL to opportunity conversion vs no scoring. Pipeline forecasting: time series regression on deal history, factoring deal age, stage velocity, and engagement signals. Accuracy typically 85-90% for 30-day forecasts. Conversation intelligence (Gong, Chorus): transcribe sales calls, detect talk-to-listen ratio, filler words, questions asked, competitor mentions. Coach reps on specific behaviors correlated with wins. CRM enrichment: automatically populate contact/company data from LinkedIn, Clearbit, BuiltWith. Use LLM to generate call prep briefs from CRM history + LinkedIn + company news. Personalized outreach: NOT bulk AI-generated emails, but AI-assisted personalization: "Given this prospect LinkedIn profile and company news, suggest 3 personalized email openers that reference their specific situation." Reps review and send. Response rate improvement: 40-60% vs generic templates. Implementation: Salesforce Einstein for Salesforce-native ML. HubSpot AI for SMB. Custom solutions with Python ML + API integrations for enterprise.