If you are about to commit to an AI initiative on the strength of a vendor case study or a McKinsey statistic, you are taking a position you cannot defend if it fails. The market for AI insight is saturated; almost none of it is verified at the level of the specific claim that matters to your decision.
What has AI actually achieved, in which organisations, in which functions, under what conditions? The answer most advisory services give is somewhere between “a lot” and “it depends.”
A case study that says “Retailer X improved customer satisfaction with AI” is not evidence that your customer service function should pursue the same initiative. The mechanism, the conditions, the transformation depth, the governance context — these are what the matching logic needs. Generic insight cannot tell you whether a specific initiative is right for your organisation. That requires evidence structured at claim level, not case study level. That is not a foundation for a commitment decision.
The AI Value Intelligence is a continuously maintained corpus of verified evidence about what AI has achieved and what governing it requires. Every claim traces to a source quote, a captured source document, and an original URL. Evidence is held at claim level — not case level — so matching happens on the specific outcome type, mechanism, or transformation depth relevant to your situation.
The corpus holds two categories of evidence. Hard cases are specific and verifiable: a named organisation, a named initiative, a measurable outcome with a traceable source. Analytical cases represent accumulated expert understanding — research syntheses and pattern findings about how and why AI value gets realised, and what conditions it requires.
Hard cases answer “what happened?” Analytical cases answer “why does it happen, and what should we do about it?”
The Opportunity Analyser queries this corpus against your organisational profile — sector, functions, strategic priorities, AI maturity — to surface the initiatives most evidentially grounded for your specific situation.
By the end of the engagement, this is not access to our corpus. It is your corpus — running inside your infrastructure, maintained continuously by the Active Intelligence Builder, compounding in value as your organisation uses it.
Three questions the Intelligence Base can answer. Click one to see how evidence is structured.
Next: the conviction gap — why the organisations that get the most from AI are not the ones that explore most aggressively, but the ones that commit most deliberately.
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