OUR THESIS · SINCE 2024
Without literacy, reskilling and governance, AI is not an advantage: it is a risk
We have been arguing this for more than two years, before the Regulation that now proves us right existed. Artificial intelligence does not fail because of the technology: it fails when it enters an organisation that does not know how to use it, has not redesigned its processes to receive it and has no way of deciding who answers for what it produces. In that scenario it saves no work: it multiplies the error, makes it faster and spreads it further.
- Literacy.
That people know what the tool does, where it fails and when to distrust it. It is not teaching prompt writing: it is teaching people not to believe the answer. It is what Article 4 has required since February 2025.
- Reskilling.
That roles are redesigned around what the person contributes once the machine does the rest. Without this, AI frees no time: it creates confusion and resistance.
- Governance.
Inventory, risk classification, human oversight with a real ability to intervene, and a record of what was decided and why. Without this there is nothing to show when someone asks.
The CriterIA© seal verifies that all three are in place. It is not a report: it trains the organisation's people, verifies seventy-nine points across eight dimensions and three pillars and issues a seal anchored on blockchain that anyone can check without going through us.
A law firm tells you whether you comply. We train your team, redesign how you work and then issue our private verification seal. Those are three different things and almost nobody does all three. We applied it at home before any client: that is why we build AI suites faster, know before applying whether a grant has a real chance, have our consultant network trained with an auditable record, and make fewer mistakes, because verification is separated from drafting.