// Blog

AI consulting field notes for private markets.

Working notes on AI hackathons, private equity training, governance and adoption. Written from real engagements, not from theory. No hype, sources at the bottom of every post.

30 Jun 2026 The gap between "AI can do this" and shipping it inside a regulated firm 75% of financial firms use AI. ~5% of pilots pay. My whole practice lives in that gap — the pointer post. Positioning → 19 May 2026 How to run a use-case hackathon that actually ships something The hosted AI hackathon playbook: the prep, team selection, opening training, 80-minute clock, and show & tell that becomes a backlog. Playbook → 28 Apr 2026 What a three-hour AI crash course looks like A practical AI training session for private equity and investment teams: orientation, Microsoft suite, higher-value use cases, and the cheat sheet. Training → 09 Jun 2026 An unused tool is a failed project The build is the easy bit. Week-six usage is the only honest metric — adoption and embedding over build. Adoption → 07 Apr 2026 Centralising knowledge: the one-stop shop your AI rollout is missing Docs, skills, prompts, artifacts, training and a use-case register — one front door, or it all evaporates. Knowledge → 17 Mar 2026 Communication channels: the unglamorous infrastructure of AI adoption Q&A bots, #ai-wins, newsletters and leaderboards — the social machinery that decides whether adoption spreads or stalls. Comms →