The Method - Seven Pillars of AI Transformation

THE LEAD

Advice and build belong in the same hands.

The value in AI transformation isn't lost in strategy or in engineering , it's lost in the gap between them.

I work across that gap, using one diagnostic backbone from board conversation through to production.

THE THESIS

2 convictions shape every engagement.

  1. Most AI value evaporates between the boardroom and the build , the strategy is sound, the implementation is competent, and the handoff between them is where it breaks.

  2. Data Cloud is the precondition for agentic value. Agents are only as capable as the data foundation beneath them, so the architecture comes first.

THE SEVEN PILLARS

  • the workflows and operating model the transformation has to fit.

  • How the Salesforce / Agentforce / Data Cloud pieces fit together

  • The unified, modelled data foundation agentic AI runs on.

  • who owns what once AI is in the loop.

  • governance, auditability, and the guardrails that keep it safe.

  • how value is measured and proven, not assumed.

  • the adoption work that decides whether any of it lands.