How Chase Built and Scaled Vertical AI Agents to $50k/mo (Full Demo)
AI Summary
Overview of AI Sales Solutions by Chase
- Chase introduces his AI sales assistant, Grace Silver.
- Discusses the creation of an automated sales process.
Key Features of the Solution
- Automates lead handling from acquisition to follow-up.
- Full CRM capabilities including texting, calls, database reactivation, and more.
- Built on previous sales experience in the solar industry.
Development Insights
- Initial investment in Air AI was significant, leading to collaboration with early voice AI providers.
- The platform integrates multiple functionalities rather than being a standalone service.
- Extensive automation and scheduling capabilities with deep CRM integration.
Lead Generation Strategies
- Initial clients were acquired through cold calling and networking.
- Ads have proven effective in generating targeted leads.
- Emphasis on focusing on niche markets for better results.
Scaling Techniques
- Expansion of the team to manage a growing client base and document processes.
- Introduction of varied pricing models, including performance-based options.
Future Plans
- Aiming to transform into a growth partner model focusing on long-term client relationships.
- Strategy includes tailored solutions and performance tracking.
Conclusion
- Encouragement to focus on solving specific client problems effectively as a strategy to build successful AI sales solutions.
- Highlighting the importance of iteration and feedback in product development.