A technology company founder with one belief — the best time to build for a trend is before everyone sees it.
15+ years running Entexis. Sits with founders and CTOs from the first scoping call through launch and beyond. Owns the quality bar every engagement is held to, and stays hands-on in the calls where the important decisions get made.
Soon the heavier AI conversation will be between agents, not between humans and agents. 4 multi-agent communication patterns, 3 risk categories, and the 5-layer architecture (identity, contract, transport, audit, escalation) that makes agent-to-agent systems safe in production.
Your CRM does not need replacing to get AI. Connect ChatGPT or Claude through APIs and deliver the first AI workflow in 2 weeks. The 3 integration architectures, the 5 patterns that work, and the migration trap to avoid.
With limited budget and time, sequence matters. The right order to automate 5 clinic workflows with AI, each one building on the data of the last.
Most clinic voice AI is generic IVR with an LLM bolted on. What makes one actually work is grounding in your calendar, slot rules, services, scripts, and past calls.
AI generates a Pine Script in seconds. Building a production-grade indicator that delivers, non-repainting, robust, alert-ready, is the hard part, and that takes engineering.
Anyone can build a health app with AI tools in a weekend. Almost none should deliver. The demo is easy. The clinical accuracy and compliance that make it safe are not.
AI coding tools write code faster than any junior. They cannot decide what to build, why it broke, or whether to deliver. That senior judgement is where the engineering moat lives.
Your real estate MVP launched fast. It also delivered into a market where every competitor MVP looks like yours. Common AI made you productive. Custom workflows make you different.
Hope that was helpful. Reach out anytime.
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