AI on your homepage means nothing if your data can't support it.
Your board is asking about your AI strategy. Your competitors have "AI-powered" on their homepage. Your team has prototyped two or three integrations and none are production-ready. You shipped a chatbot feature and usage dropped 80% after the first week.
Meanwhile, the actual AI opportunity is sitting in plain sight and nobody's looking at it. Not the feature that goes on the marketing page. The operational leverage that changes your unit economics.
I help SaaS founders build AI that works. That starts with the foundation most companies skip.
What this looks like in practice
At an AI-powered SaaS company, I directed $2M+ in R&D across ML-based assessment systems and adaptive learning engines. I evaluated and integrated LLM and TTS systems (OpenAI, ElevenLabs, Azure Neural) into production, not as demo features, but as infrastructure that scaled the product and operations.
The AI that moved the business wasn't the feature customers saw. It was the system that made the team 3x more effective at the same headcount. Customer success coverage tripled. Content operations scaled 4x without proportional hiring. That's AI operationalization. That's the opportunity most companies miss.
Before that, I built the first data science practice (NLP and ML pipelines) at a company I co-founded, scaling to 5.8M users with the data infrastructure to support it.
Two problems hide inside the AI question
The first is strategic: figuring out where AI creates genuine business leverage versus where it creates expensive demos. The answer is almost never "add a chatbot."
The second is foundational: your data isn't ready. Product data is scattered. Analytics are unreliable. CRM data doesn't match product data. AI built on bad data produces bad outputs, confidently. Nobody talks about inference costs, data governance, or whether your pricing model accounts for the variable cost structure AI introduces. Those are the conversations I have before we ship anything.
If you're being asked about AI and you're not sure whether your foundation can support it, a 15-minute conversation will clarify that fast.