Approved, developed, wrong. The invisible cost that AI is multiplying
Date
Wed 20 May
Time
15:00 - 15:30 CEST
Location
CDO Innovation Hub
About this session
Every digital project has a moment when its fate is decided. It is usually not when the software goes into production. It happens much earlier — in a meeting where everyone nods, but no one has truly seen. Unvalidated flows, ignored exceptions, expectations that seem shared but are not: these are not technical problems. They are decisions made in the dark. And the bill comes later, in the form of rework, delays, and budgets that never add up. Today, AI introduces a variable that changes everything: it can compress development times, automate processes, and multiply execution speed. But if the project starts off wrong, AI does not fix it — it accelerates it. It automates ambiguity. It scales error. It makes a merely plausible project more expensive, and faster. Anyone developing software sees it every day: the problem almost never starts in the code. It starts in the moment when someone said “we understand each other” and it wasn’t true. This talk explores that moment: where digital initiative risk truly originates, why managers approve with less information than they believe, and what mindset shift is needed to see before deciding — not to build more, but to get things wrong much less.
