Decide how far an AI agent can act, then set the risk limits and accountability that keep that choice defensible
5 sections · 9 lessons
Define agent autonomy, compare recommend versus act, and trace how risk expands as independence widens.
2 lessonsInterpret IMDA guidance, assess task risk, and choose when an agent may act, needs approval, or must stay out.
2 lessonsSet scope, data, tool, spending, approval, time, and operational limits, then identify when the agent must stop and ask.
2 lessonsExplain responsibility across people and agents, then examine cascading actions, emergent behaviour, and third-party delegation risks.
2 lessonsApply the full workflow to scenarios and produce the autonomy decision package for use at work.
1 lessonEvery lesson in order.
9 lessons
Starting with what an AI agent is and where autonomy decisions are made at work, this course builds a practical way to judge how much independence an agent should have. It focuses on matching autonomy to task risk, setting hard boundaries, and knowing when human approval or a stop-and-ask step is required. It is aimed at deployment owners, product and operations leads, and managers who approve their use, with no legal background needed. By the end, readers can reason through autonomy choices and account for outcomes across people and agents.
The course covers autonomy levels for agents, the IMDA guidance on matching independence to task risk, and task triage using impact, likelihood, reversibility, oversight realism, sensitivity, and affected parties. It also covers boundaries, escalation conditions, stop-and-ask triggers, accountability across multiple actors and agents, and multi-agent or third-party delegation risks.
From project managers and operators to founders, analysts, and teams adopting AI, Fenzo is for people who want to get better at the work they already do.
Anything from using AI for project planning and analysis to improving workflows, decision-making, communication, and delivery. If you can describe the skill or task, Fenzo can build a course around it.
Yes. Tell Fenzo what you do, what you’re trying to accomplish, and where you’re stuck, and Fenzo will shape the course around your role, your goals, and the work you actually have to do.
No. Fenzo adapts to your starting point, so you can begin with the fundamentals or jump straight into more advanced work.
Yes. Fenzo for Business puts the whole team on one plan — shared seats, courses you can assign, and reporting on who has finished what.
See Fenzo for BusinessYou start by describing your goal or taking a short skill benchmark. Fenzo uses that context to identify gaps and shape the learning experience around them.
Yes, Fenzo works in your mobile browser.
Something to operate in every section.
Three findings from decades of learning research shaped how every Fenzo lesson is built.
Average pass rate · Freeman et al., PNAS 2014
What the science says
Students in lecture-only classes are 1.5× more likely to fail.
How Fenzo does it
Every Fenzo lesson is interactive. No passive reading or watching, ever.
You work through itAI does it for you
Skill retention over time · with vs. without practice
What the science says
Offloading thinking to AI erodes the very skills you’re trying to build.
How Fenzo does it
Fenzo makes you do the thinking — guided, but never done for you.
Retrieval practiceRe-reading
Long-term recall · retrieval vs. re-reading
What the science says
Recalling information beats re-reading it for building durable understanding.
How Fenzo does it
Lessons weave in quizzes and recall prompts, so it sticks.