Most enterprise AI deployments stop at the single-agent problem. The real challenge is coordinating a workforce of agents, governing everything they do, and being the named party accountable for the result.
Credit scoring is explicitly named as high-risk AI under EU law. The compliance deadline is August 2 — not proposed, not contingent. A US fintech with no EU office still falls in scope if its model touches EU borrowers. The checklist is long and the clock is short.
Healthcare AI deployment is years ahead of its compliance posture. Section 1557's nondiscrimination mandate is enforceable now. The HIPAA Security Rule rewrite adds AI tools to risk analysis requirements. Here's what the gap looks like — and what closing it actually requires.
Musk is suing the company he co-founded for $134 billion. Week one of the trial raised questions about credibility, competitive motive, and whether a founder's early vision creates enforceable obligations.
Most AI vendor evaluations are structured around the wrong criteria.
"Compliance-ready" has become a marketing phrase. Every AI vendor says it. Almost none of them mean the same thing by it.
There's a version of the AI conversation that applies to nearly every industry: move fast, automate the repetitive stuff, reduce headcount, improve margins. The pitch is simple and the ROI math is compelling.
Anthropic just built the most capable AI model in history — and decided not to release it. That decision is the most important thing that happened in enterprise AI this year, and almost no one is talking about the right part of it.