"You know, it took me a long while to realize this: AI isn't just something like a chatbot for my customers. AI can work behind the scenes to facilitate getting the right stuff in front of the right people for me, even just to figure out who people are and how I should talk to them. And today, I want to share exactly what I'm doing, how expensive this is to run,"
"Let me start with the internal use of generative AI that has been absolutely transformative for Podscan. Six hours after a customer signs up for their trial-exactly six hours-something magical happens. But they don't see it. It happens completely behind the scenes. I let them explore the platform first. But at that six-hour mark, I score them. Or rather, I have an LLM that is fed with a lot of information score that customer for me on a scale fro"
Generative AI can operate entirely behind the scenes to profile users, surface relevant content, and accelerate perceived product value. An LLM scores trial users at a fixed six-hour mark using aggregated customer data to prioritize outreach and personalization. Users remain unaware of the scoring while the system shapes follow-up actions. This approach reduces time-to-value, supports smarter scaling strategies, and can be implemented cost-effectively within SaaS businesses regardless of visible AI features. Integrating such automation into onboarding and marketing pipelines enables targeted messaging and better conversion without requiring customers to interact directly with AI.
Read at The Bootstrapped Founder
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