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AI can automate way more of your startup than you probably think. But most founders either go too deep too fast, buying a bunch of tools they don't need, or they don't go deep enough, just using ChatGPT for emails and lower-leverage tasks. In this video, I break down where AI automation is actually working today: Sales, Marketing, Data & Analytics, Customer Support, Finance, and HR. For each one, I'll cover what you can automate, what still needs humans, and where to start. 🔗 Try Definite free: https://ui.definite.app 📚 Definite docs: https://docs.definite.app 💰 Pricing: https://www.definite.app/pricing ⏱️ CHAPTERS: 0:00 Introduction 0:30 Sales: What to automate 1:15 Marketing: What to automate 2:00 Data & Analytics: What to automate 2:45 Customer Support: What to automate 3:30 Finance: What to automate 4:15 HR & People Ops: What to automate 5:00 Definite demo: AI-native data platform 6:30 Wrap-up and recommendations 📊 WHAT YOU'LL LEARN: • Which sales tasks AI handles well (outreach, CRM, research) vs what still needs humans (closing, negotiation) • How to automate 80% of content repurposing in marketing • Why data and analytics can be automated end-to-end with AI-native tools • Why Tier 1 support can be 60-80% automated with the right chatbot • What finance tasks to automate (expenses, invoices) vs keep human (tax strategy, forecasting) • How HR teams are using AI for scheduling, screening, and onboarding 🛠️ TOOLS MENTIONED: Sales: • Clay, Apollo (lead enrichment) • DIY: LLM APIs for outreach drafting • Example: https://github.com/anthropics/anthrop... Marketing: • Jasper, Writer (content generation) • DIY: LLM workflows for content repurposing • Example: https://github.com/Shubhamsaboo/aweso... Customer Support: • Intercom, Zendesk, Freshdesk (AI features built-in) • DIY: Doc-integrated chatbots • Example: https://github.com/Shubhamsaboo/aweso... Finance: • Ramp, Brex (expense management) • Bill.com (accounts payable) • DIY: PaddleOCR for document processing • Example: https://github.com/PaddlePaddle/Paddl... HR: • Ashby, Lever (recruiting with AI) • DIY: Resume screening pipelines • Example: https://github.com/Hungreeee/Resume-S... Data & Analytics: • Traditional: Snowflake + Fivetran + dbt + Looker (4+ tools, $50k+) • AI-native: Definite (all-in-one, 30 minutes setup) 📋 QUICK REFERENCE: 🔗 LINKS: • Definite: https://www.definite.app • Fi (AI Assistant): https://www.definite.app/fi • 500+ Connectors: https://www.definite.app/connector-db • Blog post: https://www.definite.app/blog/startup... 👥 WHO IS THIS FOR: • Startup founders who want to do more with less headcount • Operators looking to automate repetitive work • Execs evaluating where AI can replace manual processes • Teams that need enterprise-level automation without enterprise budgets #AIAutomation #Startups #AI #Automation #SalesAutomation #MarketingAutomation #CustomerSupport #FinanceAutomation #HRTech #DataAnalytics #StartupTools #AITools #BusinessAutomation