Most data and AI investment doesn't fail because of the technology.
Technology accounts for just 30% of what separates a successful data and AI transformation from a failed one. The other 70% comes down to people, process, and culture – the organisational constraints Prospore is built to diagnose and fix.
Source: BCG
You’ve invested heavily in data and AI. The commercial value hasn’t followed – not because the technology failed, but because the organisational conditions around it were never built to sustain it.
Two decades of advising on data and AI value surfaced the same pattern again and again: organisations that create value build an outcome-focused partnership.
Without that partnership, investment doesn't become commercial value and the Data & AI Value Gap emerges instead.
Organisations that struggle don't - and the reasons why come down to six repeatable dysfunctions.
The AI Value Gap
the framework
The Six Constraints behind the Data & AI Value Gap
The gap isn't random. It emerges from six specific constraints in the partnership between data & business functions.
"They listened, challenged, and supported us in a way that built trust and got results. We're now better aligned, more efficient, and focused on the work that truly delivers value."