Workshops

How CEOs lose company secrets through AI agents — and the seven rules that stop it. Deep-dive companion to M7 OP3. 11 slides, 40 minutes.

Three layers. Three jobs. One rule: every fact has exactly one home. 13 slides, 40 minutes.

Move regulated data through a controlled boundary so it can safely meet modern AI. 16 slides, 55 minutes.

GitHub is the operating system for software work — system of record, collaboration loop, automation layer, governance boundary, and AI agent workspace. 12 slides, 40 minutes.

Five red flags that catch more bad AI deals than any technical due diligence — spotted in a single week, by a non-technical CEO. 12 slides, 30 minutes.

A worked example: turning anonymous inbound into a confirmed discovery call, automatically. From five-channel chaos to one configured agent. 16 slides, 35 minutes.

Turning discovery-call transcripts into a deployable AI roadmap. A four-stage pipeline that decomposes interviews into atoms, clusters tasks across people, and outputs an auditable hours build-up the CFO can sign. 24 slides, 30 minutes.

How to turn meetings, email, and documents into a memory you can trust — by sorting out who and what before the AI says anything. The one step everyone skips, and the gate that makes the rest of the AI stack defensible. 20 slides, 30 minutes.

Microsoft is reframing Windows from "an OS that runs AI tools" to "an OS that is itself an agent runtime." What changes for your business model, your governance, your competitive position — and whether you should move first or wait. 20 slides, 30 minutes.