A diagnostic and implementation framework that maps organisational intelligence across three layers, like an iceberg: the visible part (10%), the submerged part (30%) and the deep part (60%). The central premise is that most of what determines an organisation's results is invisible — and it is precisely that invisible part that AI most needs to access in order to be useful.
- Layer 1 — Surface (10%): reports, dashboards, structured databases, published KPIs
- Layer 2 — Submersion (30%): unwritten processes, historical decision context, workarounds that function but are not documented
- Layer 3 — Depth (60%): unarticulated success and failure patterns, expert intuitions, unwritten culture, invisible decision heuristics
Context & Strategy
How it was born
It arises from the observation that AI implementations repeatedly fail not because of technical problems, but because AI is fed superficial knowledge. An organisation that has only documented 10% of its knowledge uses AI on that 10%. The other 90% — where real competitive advantage resides — remains inaccessible.
What it does in practice
It is the initial diagnostic framework in any strategic AI consulting process. Before recommending any technological solution, the AIceberg maps what exists across the three layers — what is documented, what is tacit and what is cultural. It functions as the foundation for UNLOCK.AI (which measures AI adoption potential) and for DECIDE-X (which structures the next strategic decision).