Key insights

• 💰 AaaS could create millionaires or billionaires by 2025
• 🤖 Utilizing AI agents to automate entire processes without manpower
• 📈 Building AI agents is easier and offers more scalability than traditional software products
• 🚀 The market for vertical agents is rapidly growing, presenting a massive opportunity for early adopters
• ⏩⏳ Vertical agents are faster to deploy but less customizable, while horizontal agents offer more customization but require longer investment
• 💡 Examples of vertical and horizontal agents include 11x, Carmen, and Normi
• 🔧 Approaches to building vertical AI agents include framework, platform, and custom-coded solutions
• 💵 Pricing models for AI solutions include licensing, usage-based, outcome-based, and hybrid approaches
• 📈 Scaling AI solutions involves increasing marketing, hiring more people, and maximizing agent delivery
• 🤝 Introduction of a 'build and stay' model for AI implementation, emphasizing long-term partnerships and revenue sharing

Q&A

• What is the 'build and stay' model for AI implementation?

  The 'build and stay' model emphasizes the benefits of long-term partnerships, revenue sharing, and sales-oriented tech development. It focuses on the potential of AI in creating new pricing models and the future of vertical and horizontal agents.

• What was demonstrated by the AI sales assistant in the video?

  The demonstration showcased the AI sales assistant's capabilities, including multilingual skills, a musical performance, and the seamless transfer to a human sales agent, illustrating the potential for automating sales processes.

• What are agents in the context of AI voice solutions?

  Agents are customizable pre-trained AI models that can be easily adjusted for different clients and platforms, with the capability to handle various tasks and improve with proper evaluations.

• How did Chase successfully scale his vertical AI voice solution?

  Chase scaled his vertical AI voice solution by integrating CRM and automations, identifying the problem in his niche, and utilizing AI technology as the solution, despite a lack of technical experience.

• What is involved in scaling an AI solution?

  Scaling an AI solution involves increasing marketing efforts, expanding the team, and delivering as many agents as possible to meet the growing demand. It is key to success in leveraging the potential of AI solutions.

• What are the pricing models for AI solutions?

  Pricing models for AI solutions can include licensing, usage-based, outcome-based, or a hybrid approach, each offering different cost structures and benefits for both providers and clients.

• What are the approaches to building a vertical AI agent?

  There are different approaches to building a vertical AI agent, including using a framework, platform, or custom-coded solution, each with its own pros and cons related to time, effort, scalability, control, and technical expertise.

• What is needed to build a vertical AI agent?

  Building a vertical AI agent requires quality data, industry-specific expertise, and adequate resources to ensure its successful development and deployment.

• What are the differences between vertical and horizontal agents?

  Vertical agents are trained on specific processes, making them faster to deploy but less customizable, while horizontal agents offer more customization but require a longer investment. Examples of such agents include 11x, Carmen, and Normi.

• How can AaaS create millionaires or billionaires by 2025?

  AaaS has the potential to create millionaires or even billionaires by 2025 due to its scalability and the rapid growth of the market for vertical agents, presenting a massive opportunity for early adopters.

• What is Agents as a Service (AaaS)?

  Agents as a Service (AaaS) is a new AI business model that aims to replace Software as a Service (SaaS) by using AI agents to automate entire processes without requiring human intervention. It is easier to build and offers more scalability than traditional software products.

• 00:00 The new AI business model called Agents as a Service (AaaS) could potentially create millionaires or even billionaires by 2025. This model, which could replace Software as a Service (SaaS), utilizes AI agents that automate entire processes without requiring manpower to run. It is easier to build and offers more scalability than traditional software products. The market for vertical agents is growing rapidly, presenting a massive opportunity for early adopters.
• 08:02 Vertical agents are trained on a specific process, making them faster to deploy but less customizable. Horizontal agents offer more customization but require a longer investment. Examples include 11x, Carmen, and Normi. Building a vertical agent requires quality data, industry-specific expertise, and resources.
• 16:00 Exploring different approaches to building a vertical AI agent, pricing models for AI solutions, and a roadmap to leverage the opportunity in 2025.
• 23:54 Agents are customizable models used in AI voice solutions, which can handle various tasks and improve with proper evaluations. Scaling the solution involves increasing marketing, hiring more people, and delivering as many agents as possible. Chase successfully scaled his vertical AI voice solution using CRM integration and automations. He identified the problem in his niche and utilized AI as the solution, despite not having technical experience.
• 30:13 A demonstration of an AI sales assistant showcasing its capabilities, including multilingual skills, musical performance, and seamless transfer to a human sales agent, illustrating the potential for automating sales processes.
• 36:12 The speaker introduces a new 'build and stay' model for AI implementation, emphasizing the benefits of long-term partnership, revenue sharing, and sales-oriented tech development. They also discuss the potential of AI in creating new pricing models and the future of vertical and horizontal agents.