AI governance boundaries: Permissions, cost and human handoff

In this class

What this class covers

1. 01Classify usage scenarios by data sensitivity and action risk
2. 02Set step, time, and retry limits to bound system execution
3. 03Understand cloud and on-premises allocation alongside model routing in enterprise settings
4. 04Understand accountability across incident reporting, investigation, and repair

Instructor

Learn with Wisely Chen

Wisely Chen

Wisely Chen

AI Startup Executive

• Over 20 years of experience in the IT industry, including roles as a Google Cloud consultant and enterprise Data & AI lead
• Currently an executive at an AI startup, focused on enterprise AI architecture
• Drives AI agents, on-premise LLMs, workflow automation, and digital transformation in traditional industries

Evolve · 7 classes

7 courses in Evolve

One price covers all 7 classes. Start with the one you want.

1. 01 Loop engineering: Write acceptance criteria and let AI iterate to passHai Tseng · About 18 min →
2. 02 Turn taste into evals: External signals and machine-readable criteriaSean Liu · About 30 min →
3. 03 Make your team's AI better with use: Shared knowledge, SOPs and quality gatesCarmen Hsueh · About 20 min →
4. 04 AI governance boundaries: Permissions, cost and human handoffWisely Chen · About 35 min This course
5. 05 Traces and incident reviews: See it to fix itSean Liu · About 30 min →
6. 06 Self-evolving AI systems: Build your own upgrade systemHai Tseng · About 30 min →
7. 07 Five decisions for going all-in on AI: Alignment, process, business model, pricing and budgetSting Tao · About 60 min →