Governance for teams building with AI agents: adversarial blue/red-team review before implementation, a hard cost circuit breaker, a quality-gate engine that blocks promotion on any failing gate, and an evidence-based learning state machine that stops agents self-certifying unverified improvements. --- 給AI agent開發團隊的治理系統：實作前對抗式藍軍/紅軍審查、硬性成本斷路器、任何關卡沒過就不准晉級的品質閘門引擎、防止agent自己宣稱驗證通過的證據為本學習狀態機。中英文版本皆完整獨立撰寫。
Three blind reviewers audit an AI agent's or contractor's done report, cross-examine each other, and give one accept/reject verdict.
Deterministic EU AI Act compliance audits: classify AI risk tiers, detect shadow AI in business tools, and produce actionable audit reports with legal citations.
Three independent AI reviewers audit your grant narrative for reviewer fatigue, eligibility gaps, and weak impact proof, then cross-examine each other.
Audits how your brand actually appears in AI-generated answers and generative search. GEOTrace queries real AI-answer providers, then measures mention rate, recommendation rate, citation rate, and competitor visibility from the evidence gathered — no fabricated results. Delivers a structured report with per-query findings, source domains, visibility gaps, and a prioritized action plan. Metrics are sample observations, not guarantees of ranking, traffic, or revenue.
Expert in CAPA management, root cause analysis, quality systems, regulatory compliance, risk assessment, audit readiness, and continuous improvement. Converts quality incidents into compliant investigations, systemic corrective actions, and measurable effectiveness verification using ISO, FDA, and industry best practices.
Turn a vague success claim into one sourced metric, then blur a client name lacking permission.
Review AI agents, automation workflows, and project architectures for design gaps, risks, missing requirements, and improvement opportunities.