One more finding from The AI Governance Convergence, then I'll leave your inbox alone.
Ask most teams what "AI governance" means and they point at the models: drift, hallucination, bias. That's what the tooling market sells against, and what most 2026 plans are built around.
The discourse says otherwise. Of the top 20 pains enterprises actually name around AI governance, 12 are compliance, audit, or regulation. Model risk sits a full tier below.
Why it matters: if you're staffing and buying against model risk, you're solving the tier-2 problem while tier-1, the audit trail, the regulatory mapping, being able to prove what a system did, goes under-resourced. The teams getting this right are hiring compliance-literate people and buying evidence-and-audit tooling first, model-monitoring second.
That's finding two of four. The full read, The AI Governance Convergence, is at ins7ghts.com/drops, €99 for the read or €499 for the year at the launch price this week. But as with the last one, I mostly wanted you to have the finding.
Yves