AI Agents 101 - How to Start an AI Automation Agency
AI Summary
- Introduction to AI in Business
- AI has taken over industries and continues to grow.
- Two types of AI: Conversational AI and Content Generation AI.
- Content Generation AI: Platforms like Jasper AI, Copy AI generate content from prompts.
- Conversational AI: More lucrative for freelancers, agencies, and businesses.
- Case Study: Clara’s AI Implementation
- Clara’s AI handles 2/3 of customer service chats.
- AI’s performance: 2.3 million conversations, equivalent to 700 full-time agents.
- Customer satisfaction on par with humans, 25% drop in repeat inquiries.
- Resolution time reduced from 11 minutes to under 2 minutes.
- AI operates in 23 markets, 35+ languages, estimated $40 million profit for Clara in 2024.
- The Rise of GPT-3 and GPT-4
- OpenAI’s GPT-3 and GPT-4 revolutionized AI capabilities.
- The release of GPT-4 was a turning point for AI adoption in businesses.
- Market Shifts in Understanding AI
- Initial questions about AI’s nature and capabilities.
- Shift from “What is AI?” to “How do I build, use, and sell AI?”
- Agencies and businesses began exploring custom AI solutions.
- Building Custom AI Solutions
- Challenges with legacy builder platforms like Botpress and Voiceflow.
- Stammer AI offers a white-label platform for creating custom AI chatbots.
- Agencies can rebrand and resell AI solutions, create subscription packages, and connect Stripe for payments.
- Selling AI to Businesses
- Importance of personalized demos for the “aha” moment.
- Real-world examples and success stories from agencies.
- The process involves lead generation, scheduling appointments, and demonstrating value.
- Focus on personalized demos during meetings to convert clients.
- Support for Agencies
- Resources like Discord community and webinars available for agencies.
- Assistance with pricing, offers, niches, and selling strategies.
- Conclusion
- Emphasis on the importance of adopting AI in business.
- Invitation for comments on favorite AI platforms.