We sat down to record an episode about model independence. Our own podcast agent, Esther, had other ideas. She had been reading our recent meeting transcripts, noticed we kept circling a bigger theme, and suggested we talk about that instead. The fact that an agent spotted the pattern, drew a conclusion, and brought it back to us is, when you think about it, the whole point of this episode. Arjé Cahn, our CPO, and Ian Zein, our CEO, get into what it actually means to become a self-improving organization. Not bolting AI onto your workflows, but building loops where AI proposes, people steer, and the work gets sharper every cycle. Along the way: * Jason, our go-to-market agent, and what it is like to work next to a colleague who is an agent * why our meeting transcripts have quietly become more valuable than our documents * the loop we use to turn a conversation into a stronger document, and back again * a maturity model from scattered AI, to governed AI, to your first real loops, and where model independence fits in * why governed AI is the enabler of all of this, not a compliance checkbox * the sameness problem, including the speaker whose AI slides made the audience walk out * and the line that ties it together: good AI is raised, not installed. The same, it turns out, is true of a company. If you take one thing away, make it this: pick your first loop, the one workflow that matters, and keep a human who owns it. Chapters 00:00 The topic Esther chose for us 02:54 Jason, our go-to-market agent 04:55 Transcripts, not documents 07:46 When does a conversation become the truth 10:47 The loop that makes a document stronger 12:46 A maturity model for the self-improving organization 14:04 Why governed AI is the enabler, not compliance 16:43 Islands, sameness, and putting the humans back in 20:59 Good AI is raised, not installed This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit trustedintelligence.substack.com
