The Ultimate AI Transformation Guide
The board-level playbook for the AI-native enterprise — what to buy, what to build, where to partner.
Last week Palantir’s Alex Karp went on CNBC visibly angry. Strip away the fireworks and his point was simple: enterprises want “control over their compute, their models, their data stack and their alpha.” They want to own the means of production. Meanwhile, most companies are still buying AI the way they bought SaaS.
That gap is what this guide is about.
For the past few weeks I’ve researched frontier aI engineering and studied what the most credible enterprises (JPMorgan, Morgan Stanley, Mayo Clinic, RBC, Manulife) actually do, and synthesized research from Stanford HAI, MIT Sloan, McKinsey, Deloitte, IBM and the major financial regulators into one playbook.
Here’s what’s inside the 12 pages:
The argument (pages 2–7):
The Shift: why the 20-year SaaS playbook breaks in the AI era
The Economics: open-weight models now run 5–18× cheaper than closed APIs, and the build case compounds past ~1M agent conversations a year
The Stack & The Decision: all 16 layers, each mapped to one answer: buy, build, or partner
The Moat: durable advantage isn’t the model; it’s your data, workflows, evals and feedback loops
Regulated Industries: the regulator holds you accountable, not your vendor
The execution (pages 8–12):
The Evidence, The Roadmap, The Operating Model, The First Year, and the exact Board Agenda I’d put in front of any leadership team
If you only have ten minutes: read The Shift and The Economics for the argument, then take the Decision Matrix and the Board Agenda into your next strategy discussion.
If this is useful, forward it to one person deciding an AI budget right now — that’s how The Indus Signal grows.
One question before you go, the same one I’d put to any operating committee: what is your company buying today that it should be building?
Leave a comment. I read everything.
— Hitesh