A SaaS founder asked us to second-opinion a roadmap his CTO had come back with after an "agentic AI" vendor pitch. The plan was eighteen agents, a planner LLM, an executor LLM, a critic LLM, six months of build, and a 5x increase in their model spend.
The current product was a chatbot that answered customer FAQs about their billing portal. About 80% of incoming questions were five variations of "how do I export my invoice as PDF." The remaining 20% routed to a human agent because the chatbot did not know how to.
We told the founder to add a sentence to the existing prompt and ship the agentic plan to the backlog.
This is the conversation that comes up almost every week now. Vendors are pitching agents at every B2B SaaS founder. Most of those founders do not need agents. Here is the framework Sapota uses to decide.
What an AI agent actually is
