Large funds like Thrive and General Catalyst don't just buy businesses and add AI later. Their playbook involves first building a robust, centralized AI platform with agents and software. They then acquire established firms and plug them into this pre-existing system for immediate efficiency gains.
While anyone can access powerful AI models, the real proprietary asset is the cumulative list of rules derived from human corrections to AI outputs. This 'corrections log' captures the specific nuances of a business and becomes a compounding competitive advantage that is impossible for others to replicate.
A massive wave of small service businesses are for sale due to retiring owners. These businesses are full of automatable work, yet are priced as if their low margins are fixed. This creates a rare opportunity to acquire them and use AI to drastically improve profitability.
To prevent costly errors, AI agents should never send work directly to clients. An effective system uses a 'preparer' agent to draft the work and a 'reviewer' agent to check it against rules. Crucially, a human must always provide the final approval, ensuring quality control and accountability.
Billion-dollar funds cannot pursue smaller firms, creating a vast market for solo founders. These founders have an edge as many retiring owners prefer selling to a person who will be hands-on, rather than a faceless corporation, ensuring a smoother transition and preserving their legacy.
Instead of searching marketplaces, a better acquisition strategy is to first offer a niche service using AI to firms in your target industry. This allows you to learn the business from the inside, build your AI agents on real work, and establish trust with owners, making you the obvious choice when one is ready to sell.