Post by Dr. Roger Gergi

Everyone's racing to deploy AI agents. Almost no one has the content to feed them. Gartner expects more than 40% of agentic AI projects to be scrapped by 2027 — with eight in ten companies citing their own data as the roadblock (Gartner, 2025). The deeper number: just 7% of enterprises call their data fully "AI-ready" (Cloudera / HBR Analytic Services, 2026). The pattern in the research is clear. The bottleneck was never the model. It's decades of ungoverned, undiscoverable, duplicated content in repositories no agent can safely navigate. This is why information governance has quietly become the precondition for AI to work at all — not a compliance footnote. At ONE ECM, we treat content that's discoverable, current, and access-aware as the foundation, not the afterthought. So what's really blocking your AI roadmap: the model, or the mess beneath it?