The Five Layers, one page each.
The complete framework from The Five Layers of AI-Ready Operations - each sheet is a single layer, the tells that reveal you're missing it, and the one Monday-morning move. Free, no email. The version to forward to whoever owns AI where you work. Below the set, the Season 2 studies get the same one-page treatment.
The Five Layers - the complete set
Six sheets, nothing held back: the whole map on one page, then one page per layer. Start with the cornerstone if you are new - it tells you which of the five you are missing in about sixty seconds.
Why most AI projects fail before the model does
The whole map on one page - the five operational layers, and the 60-second tell that reveals which one you're missing.
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Governance, not agents
The five failure modes (four aren't technical), the six decision rights to name, and the autonomy ladder - Layer 1's Monday-morning move.
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An amplifier, not a brain
The three checks before you deploy - identity, completeness, source of truth - and why bad data stops looking broken and starts looking persuasive.
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Branches, not secrets
The four moves that actually standardize a process, the two things an agent does with an exception nobody wrote down, and the count that tells you whether you are ready.
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Safety systems, not paperwork
The five controls an agent needs on day one - access, audit trail, rollback, monitoring, a human - and the autonomy dial that says how much leash it has earned.
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A home, not applause
Building an AI system is a project; keeping it valuable is an operational capability. The owner, the funding line and the roadmap that decide whether a successful pilot survives its own applause.
Download PDFAll five layers plus the cornerstone. Nothing in this set is coming later - it is finished.
The numbers everyone is arguing about
Same one-page treatment, applied to the studies and headlines rather than the framework: what the number actually measured, where the failure really sat, and the move it argues for. One lands with each episode.
95% of AI pilots fail. The reason isn't the AI.
What the MIT study actually said - the three root causes behind the 95%, and why every one of them is an operations problem rather than a model problem.
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Five levels. Where you actually sit.
The 5x5 matrix on one page - ad hoc to AI-ready on every layer, the level-three line you should not automate below, and the rule that decides your score: your readiness is the lowest of the five, never the average.
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Abandonment isn't the verdict. It's the bill.
The 42% jump and the more honest 46% underneath it - where scrapped pilots actually die (governance and the operating model), and the three-question graduation test to run before the next green light.
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Same 13%. Three years of spending.
Cisco's three-flat-years finding decoded - the 4x pilot-to-production gap, the 54% whose networks cannot carry the load, and the double-the-budget test that tells you whether money would change anything at all.
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A yes-machine, not a gate.
The anatomy of an AI CoE on one page - what it owns versus what it only advises on, the funding test that decides whether it can refuse at all, the three artefacts that make it auditable, and the four ways it quietly stops governing.
Download PDFA new one lands with each episode. Subscribe to catch them, or watch the season.
Want all five in one go?
Get the whole framework - scored on your own org.
Grab the sheets one at a time above - or get the whole thing in one place. The free AI-Ready Operations Assessment turns all five layers into a readiness check you run on your own organization - a maturity scale from "ad hoc" to "AI-ready" that shows your weakest layer before you spend a cent on tooling. Enter your email and it lands in your inbox.
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Education, not consulting, legal, or vendor advice. Tool-agnostic. Go deeper: the Master Data Operator's Pack, the AI Adoption & Governance Operator's Pack, or the full operator library