Many organisations are investing in AI while overlooking a basic question: how much of their existing knowledge can the AI actually trust? The problem isn’t necessarily the AI. It may be the quality, authority, ownership and currency of the knowledge it receives. And the problem begins even earlier than that. To begin with, most companies…
Author: Graham Lauren
Editorial Governance: The Missing Layer in Your AI Strategy
Photo by Álvaro Bernal on Unsplash AI can only be as useful as the knowledge it has to work with. Yet most organisations have no editorial system for deciding what knowledge can be trusted, what has changed and what should be discarded. The Editorial Operating System is the missing governance layer between organisational knowledge and…
The machine-readable organisation: What “AI data-readiness” actually means
AI data-readiness is the degree to which an organisation’s information can be found, understood and used by AI without further human intervention. This matters because humans routinely compensate for poor information systems; machines cannot. Not being sentient and lacking context, they need information that is explicit, structured and unambiguous. Before AI can reason, it must…
The uncomfortable truth: AI is not intelligent, it is fed
Why the real bottleneck in enterprise AI is not the model – it is the quality of the knowledge your organisation produces Where most executives are currently being told to buy better AI, the future advantage in AI will belong less to organisations with the biggest models than to those with the cleanest, clearest, and…
The Companies That Win With AI Will Treat Knowledge Like a Publishing System
The Real Problem Isn’t Knowledge Scarcity — It’s Knowledge Usability Most organisations already possess more intelligence than they use.The problem isn’t knowledge scarcity.It’s knowledge usability. Across the average business, insight lives in scattered documents, uneven writing, private inboxes, and people’s heads. When leaders ask questions, the organisation often starts from scratch — not because the…
From Chaos to Clarity: An AI Data-Readiness Strategy for the Machine-Readable Organisation
AI systems are only as effective as the data they are built on. Yet, without considering the state of their data-readiness, most organisations are still working with unstructured, inconsistently described, and semantically unstable information. A serious AI data-readiness strategy begins here: before any model, automation, or intelligence layer can succeed, organisations must first transform their…