We audit AI-driven decisions before they create legal, financial, or reputational damage.
在 AI 出錯之前，替您把關決策的可用範圍與風險。
For teams that must sign off on AI, automation, or high-risk system outputs.
適用於需對 AI 或自動化輸出負責的團隊。
適合需重構、遷移或面臨瓶頸的團隊。提供雲端基礎設施規劃與效能評估。
Cloud & infra design, migration and performance review.
針對 AI 自動化與關鍵流程，提供可追溯、可重現的審計輸出。
Auditable, reproducible decision trace for high-risk outputs.
建立責任邊界與「Audit-by-design」架構，降低合規與聲譽風險。
Define accountability and governance for safe AI use.
將 know-how 固化為制度（如 GDI），把治理原則化為可運行代碼與流程。
Turn governance principles into runnable code & SOPs.
適用情境：AI 輸出將被採納為法律、財務或高階決策時。
When AI output affects legal, financial or executive decisions.
適用情境：系統表面正常但結果不可解或被質疑時。
When outcomes are disputed or unexplained.
適用情境：部署受監管或需董事會批准的 AI 系統。
For regulated or board-level AI deployments.
痛點： 決策者如何確信 AI 摘要資訊未被遺漏且真實無誤？
How can executives trust AI summaries are complete and verifiable?
解法：Google Daily Insights (GDI)
Automated global trend extraction.
Each summary links to sources + timestamps.
Open source reference implementation.
A：不能保證正確。Our role is to define and document where AI outputs are safe to use — and where they are not.
我們不保證結果正確，但會明確標註可用範圍與風險邊界。
A：顧問給建議；我們交付可驗證、可重現的審計產物，留存證據鏈以供事後檢驗。
Consultants recommend; we deliver auditable artifacts and reproducible steps.
A：我們不承擔決策責任。We make responsibility boundaries explicit before decisions are executed.
我們在決策執行前，幫您把責任矩陣與簽核點寫清楚。
A：所有結論可回溯到來源輸入、timestamp 與重現流程；若結果不可重現，則不交付。
All conclusions are traceable to source inputs and reproducible steps.
* 以上為內部架構自我審查指標 (Internal Audit Score)，用於版本間比較與風險自控。
Internal metrics for comparing versions and controlling risk.
此驗證證明：能把治理原則轉為可運行代碼與可審計流程。
Demonstrates governance principles implemented as runnable, auditable code.
Stability & compliance baseline.
Velocity via AI, preserving auditability.