The question is no longer "if." It's "where." And the scary answer — "build an AI team" — is the wrong one. If you've made it this far in the series, you're no longer asking whether your brokerage will use AI agents. You're asking where to start. And the most common answer — "build an AI team, hire engineers, build the infrastructure" — is exactly the wrong one for an independent brokerage. High CAPEX, scarce talent, long time-to-market. While you build, the competitor serve

Most companies want agents in production. Only 11% got there. The bottleneck isn't the model — it's control. There's a number that sums up the state of agentic AI in 2026: only 11% of companies have put agents into production (Deloitte, State of AI 2026), and Gartner estimates that 89% of pilots never scale. Almost everyone wants it; almost no one runs it. And the bottleneck isn't the AI model — which keeps getting better and cheaper. It's control: data, governance and secur

Less buzzword, more Monday morning: what changes on your advisor's desk. "Agentic AI" becomes a buzzword fast. So let me be concrete: what actually changes on your advisor's desk? Today, much of an advisor's day isn't relationship — it's task. Triaging the lead that came in by WhatsApp, the website and email. Logging the CRM. Briefing before the call. Follow-up after. The invisible work no one celebrates, and that eats the time that should go to the client. An AI agent takes