The Most Important AI Decision You Will Make Is Not a Technical One.
Most leaders are asking which AI platform to choose.
A shift worth noticing
Something significant has been happening in how organisations prepare for AI, and it has nothing to do with model capability.
For the first time, the industry is converging on a shared way to structure organisational knowledge so that AI can find and use it reliably. Google’s Open Knowledge Format is the clearest signal of that direction: vendor-neutral, platform-agnostic, built on simple markdown files arranged in a logical folder structure. No proprietary system. No platform lock-in. Just well-organised, readable knowledge.
The detail of the format matters less than the fact of it. A shared standard changes what is possible.
Why a standard changes the game
The value is not in the format. It is in the existence of a shared standard at all.
When organisational knowledge is structured consistently, every agent, workflow, and process can be built to expect that structure. Organisations stop reinventing the same conventions in isolation and start building on a common foundation. The closest analogy is TCP/IP, the protocol beneath the internet. The protocol itself was unremarkable. The shared standard is what made everything built on top of it possible.
For any leader building the knowledge their AI work will run on, that is a strategic decision, not a technical one. Getting the foundation right, in a form that is open and durable, is the difference between knowledge that compounds and knowledge that has to be rebuilt every time the tooling changes.
What this actually requires
Most of what makes an organisation effective lives in places AI cannot reach. In people’s heads. In email threads. In documents nobody has opened in two years. The real work is not adopting a platform. It is capturing that knowledge and giving it a structure.
In practice that means a few deliberate moves. Formalising the knowledge that has lived informally, into a structured and accessible form. Establishing a single, version-controlled home for it, so there is one source of truth with proper access control and traceability. Building to an open standard from the start, so the knowledge works with any platform you choose now or later. And connecting all of it to governance: how knowledge is created, reviewed, maintained, and retired.
None of this is glamorous. It produces no visible AI product on day one. It is also the layer everything else depends on.
The principle beneath the practice
Here is the part that travels beyond any single standard.
Structuring knowledge before integrating AI is the most important step an organisation can take. Not because the standard demands it, but because AI is only ever as good as the structure of what you bring to it. A generic input produces a generic output, at speed and at scale. A well-structured one produces something genuinely useful. The technology is the same in both cases. The structure is the variable.
The same principle, at the level of a person
I spend a great deal of time on this at the organisational level. The same principle holds, almost exactly, at the level of the individual.
An organisation that structures its knowledge before deploying AI gets a meaningful advantage. A person who structures their thinking before they prompt gets the same one.
This is the discipline behind Thought Architecture: a new way of working with AI that gives individuals the system and skillset to design their thinking before they prompt. It doesn’t make AI smarter; it makes the collaboration better. At the scale of an organisation, the structure you design is a knowledge base. At the scale of a person, it is the clarity you bring before the first prompt. The principle does not change with the size of the problem.
The standard is here. The tools will keep improving. The organisations, and the individuals, who build the structure underneath them early will hold the advantage the technology itself can never provide. That is the decision worth making now. It was never a technical one.
Troy Morgan OAM Founder, Thought Architecture™ Thought Architecture — design your thinking before you prompt.