Tech giants are introducing plug-and-play AI agents for common business functions at $20/month, potentially disrupting higher-priced AI service offerings.
Avoid the "race to the bottom" trap of simple AI chatbots and basic automation workflows by implementing more sophisticated systems that solve complex problems identified through a discovery audit.
Target companies with $100,000 to $5 million monthly revenue for AI services, as they have complex problems and budgets without too many approval layers.
Discussion Topic:
Nick gives a high level description of a discovery audit. Anyone else have notes on their own lessons learned from their discovery audits? What has been the most helpful in extracting pain points?