AI Automation for Startups: What to Automate vs Keep Human

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

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