Keep human accountability intact while an AI agent acts for you, using IMDA guidance to supervise, stop, and answer for decisions
4 sections · 9 lessons
Define what an AI agent changes in workplace accountability, then examine IMDA oversight guidance and the human-in-the-loop choices that keep approval meaningful.
4 lessonsDesign approval, escalation, and override points, then monitor live runs for unexpected behaviour, plan mismatches, and moments to stop or intervene.
2 lessonsChallenge automated recommendations, trace accountability across the agent lifecycle, and include vendor responsibility in the record of who owns and approves actions.
2 lessonsRun one complete supervision pass on a realistic agent run and turn it into a concrete checklist for your own work.
1 lessonEvery lesson in order.
9 lessons
AI agents can do work instead of merely suggesting it, which changes where oversight and responsibility must sit. This course gives nontechnical staff, managers, and accountable contractors a practical way to supervise agent work under the IMDA Model AI Governance Framework for Agentic AI. You learn how to recognise meaningful human involvement, place checkpoints and overrides, watch for drift or surprise during a run, and know who answers when something goes wrong. It is built for people who must stay accountable for agent-led work without becoming system builders.
The course covers what an AI agent is, how it differs from an assistant, and how IMDA frames human oversight and accountability, including automation bias. It also covers meaningful approval points, monitoring plan versus reality, bias in judgment, lifecycle accountability, vendor responsibility, and an end-to-end supervision pass.
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.