We've spent 30 years optimising AI to answer questions. The next wave will be built around AI that actually guides decisions. These are not the same problem.
Most discussions about AI safety stop at 'we have guardrails.' That's like saying a hospital has 'security.' What matters is the architecture — three layers, each with a distinct role.
One hallucinated answer can permanently overdraft a user's trust. Understanding how trust accumulates — and how it collapses — is the most underrated design problem in AI advisory.
The question nobody asks in the AI demo: what does this cost per conversation? That number determines whether AI advisory can actually scale — or whether it stays a well-funded prototype.
Building for the hardest advisory domain first — one where a wrong answer causes direct harm — forced us to solve problems every other industry eventually faces. Here's the playbook that emerged.
