What’s happening at K-AI
Events, partnerships, talks — K-AI in the French and European AI ecosystem.
Your AI agents will read your figures and your policies: which of them has an official version?
Your metric definitions have an owner. Your policies often only have an upload date. A parity log measures the gap before the agent goes live.
An AI agent can be authorized at every step and act on a rule nobody has confirmed
Platforms check what an agent may do. The rule it applies comes from a document. A "supporting rule" column names that document.
An AI agent skill is a procedure the agent executes. Who approved it?
A business user teaches an agent a task in one conversation. If the skill copies a procedure, the agent runs a rule nobody approved.
An AI agent can be created in one sentence. Deciding which documents it should believe can take weeks
Creating an agent is now fast. Saying, rule by rule, which internal document it should believe takes weeks. A timed five-rule record measures it.
Reading all your published documents side by side now costs your customers almost nothing
An AI assistant can compare your terms, notices and FAQs in minutes. Starting from the complaints you already received shows the gaps before the next letter.
A document review campaign can close at 100% without reviewing what your AI reads
A review campaign closed at 100% covers its own scope, not what your assistant reads. A "read by AI" column puts the two lists side by side.
When AI fills in the status column, the agent reading it may see a decision nobody made
An AI-filled status column is a reading of the document. The agent that reads it sees a decision. A provenance column says who validated it.
Dead evidence never changes, and the control that cites it can stay green
A control reassessed when its evidence changes stays green if the procedure never moves while the organisation it describes has changed.
The knowledge layer you are budgeting for 2027 will inherit the state of your procedures
A knowledge layer reads your procedures as they stand. Without an entry baseline, their defects become its own, with no record of where they began.
A withdrawn document can keep answering through your AI
A withdrawal procedure handles the file, not the copies AI made of it. The withdrawal record checks that a withdrawn document is really gone.
When your AI agent contradicts itself, stabilising it can hide two documents that contradict each other
Two answers to one question: the cause may be the model, retrieval or two contradictory documents. The double-answer log tells them apart.
Experts fix their documents when the AI gets an answer wrong citing them. Only if they find out
A wrong-answer report usually stops at the AI team. The source referral carries it back to the expert who can fix the cited document.