What’s happening at K-AI
Events, partnerships, talks — K-AI in the French and European AI ecosystem.
The description of your documents already exists somewhere in your company. Your AI programme is rebuilding it
Gartner: through 2028, building your own unstructured metadata will cost 300% more than reusing what exists. The trade-off is settled at framing.
Your tools catch contradictions inside a package. Nobody counts the ones that cross packages
Two buyer-side corporate funds just financed automated document review. At package scale. The cross-functional document falls outside every perimeter.
An incorrect answer to a regulator is a separate infringement from the one it is asking about
Article 99(5) fines an incorrect reply: €7.5M or 1% of turnover. And that reply is assembled from documents that contradict each other.
Authoritative sources for enterprise AI: what you certify when you designate one
SharePoint now lets you mark a site authoritative for Copilot. The signal sits on the container; the contradiction lives in the documents.
Enterprise-Wide AI Agent Deployment: When One Document Contradiction Becomes a Serial Defect
Cisco opened MyAgent to 90,000 employees. At pilot scale the user is the anomaly detector. At 100% of the workforce, the detector is gone.
Cost per task in enterprise AI: the metric that turns document quality into a budget line
Gartner: only 22% of enterprises have scaled AI. Around 60% of an agentic task's cost goes to rework — a corpus problem, not a model problem.
AI Agent Decision Auditability: The Log Shows What the Agent Did, Not What It Chose Between
Glean gave agents their own identity and audit log. The log records which source the agent cited, never which valid source it discarded.
Enterprise AI Benchmarks: You Will Pick Your Knowledge Engine on a Score Someone Cleaned the Corpus to Produce
Pinecone Nexus: 47.4% on τ-Knowledge, the top published score — on 698 documents made consistent before measuring. Nobody cleaned yours.
Measuring Document AI Readiness: Why a Well-Scored Corpus Can Still Be a Broken One
7% of enterprises say their data is AI-ready — they consider it, no byte audited. The document corpus is the one layer measurable on evidence.
AI Already Writes a Third of Your Company's Documents. No 2026 Trend Asks If They're Reliable.
AvePoint 2026: 35.5% of document volume is already AI-generated, 42% within a year. Gartner's six trends govern the agent, never the corpus.
43% of Data Breaches Now Involve Shadow AI. Document Reliability Doesn't Show Up in Either Report.
IBM 2026: shadow AI jumped from 20% to 43% of data breaches. Locking down access says nothing about the reliability of the documents AI reads.
88% of AI Agent Pilots Never Reach Production. No Official Diagnostic Checked Your Documents.
Forrester/Anaconda, June 2026: 88% of AI agent pilots fail. None of the three causes cited ever asks about the corpus the agent actually read.