Govern the global agentic economy — before it governs you!
A rigorous executive seminar for the professionals who cannot afford to learn slowly: master the economic frameworks, failure taxonomies, governance architectures, and liability doctrines that will define the next decades of autonomous agentic commerce.
"The professionals who navigate the agentic economy best won't be the ones who understand the technology most deeply — they'll be the ones who can map the dependencies, name the failure modes/paradigms, and ask the questions that expose where the system is dangerously fragile."
— Val (Valdas) Samonis
What you'll learn
What you'll be able to do
- Explain the structural shift from information-support systems to autonomous agentic action chains and articulate why existing safeguards are architecturally insufficient.
- Apply input-output economic modeling (in the tradition of Leontief) to map cascading agent-to-agent dependencies across a real supply chain or market.
- Identify the failure modes — error propagation, misaligned incentives, compounding hallucinations — unique to multi-agent economic systems.
- Evaluate governance frameworks for agentic systems, distinguishing where human-in-the-loop mechanisms remain viable and where systemic safeguards must replace them.
- Assess organizational and legal liability when autonomous agents cause economic harm with no clear human decision-maker in the chain.
- Design a readiness audit for a business or institution, identifying which roles, decisions, and workflows are most exposed to agentic displacement or risk.
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 27 lessons
The Great Interlocutor Removal
Establishes the structural shift from human-mediated information systems to autonomous agent action chains and why it represents a categorical — not incremental — change.
- 1.1The Web Was Built for HumansIncluded
- 1.2From Tool to Chain: What 'Agentic' Actually MeansIncluded
- 1.3Early Deployments: Hiring Screens, Purchasing Bots, and Dark FactoriesIncluded
- 1.4Why Errors Are Now ActionsIncluded
Mapping the Agentic Economy: A Leontief Lens
Applies input-output economic modeling to represent agent-to-agent dependencies, making cascading consequences visible and analytically tractable.
- 2.1Leontief's Input-Output Method: A Senior Strategist's PrimerIncluded
- 2.2Translating Agent Chains into Input-Output TablesIncluded
- 2.3Mapping a Real Supply Chain: From Forecast Agent to Logistics Agent to Buyer AgentIncluded
- 2.4Multiplier Effects and Shock Propagation in Agent NetworksIncluded
Failure Modes Unique to Multi-Agent Economic Systems
Identifies and taxonomizes the failure types — error propagation, incentive misalignment, and compounding hallucination — that are structurally native to agentic chains and absent from human-mediated systems.
- 3.1Error Propagation: How Small Mistakes Become Systemic EventsIncluded
- 3.2Misaligned Incentives Across Agent BoundariesIncluded
- 3.3Compounding Hallucinations: When Agents Confabulate on Each Other's OutputsIncluded
- 3.4Flash Crashes, Feedback Loops, and Systemic FragilityIncluded
- 3.5Failure Taxonomy Workshop: Classifying Risks in Your Own SectorIncluded
Governance Architectures for Agentic Systems
Evaluates the spectrum of governance responses — from human-in-the-loop to systemic structural safeguards — and clarifies which interventions are architecturally appropriate at each level of agent autonomy.
- 4.1Why 'Better Data' and 'Human in the Loop' Are Insufficient at ScaleIncluded
- 4.2The Governance Spectrum: Oversight, Guardrails, and Systemic ConstraintsIncluded
- 4.3Existing Frameworks Under Stress: EU AI Act, US Executive Orders, and Sectoral RulesIncluded
- 4.4Designing Safeguards That Match the ArchitectureIncluded
- 4.5Governance Case Workshop: Stress-Testing a Framework Against a Live Agent ChainIncluded
Legal Liability and Organizational Accountability Without a Human Decision-Maker
Examines how tort, contract, and regulatory liability doctrines strain or break when no identifiable human made the consequential decision, and what new accountability structures are emerging.
- 5.1The Liability Gap: Who Is Responsible When an Agent Causes Harm?Included
- 5.2Distributed Causation: Developers, Deployers, Orchestrators, and UsersIncluded
- 5.3Emerging Legal Theories: Algorithmic Liability, Strict Liability, and Enterprise ResponsibilityIncluded
- 5.4Organizational Governance: Boards, Audit Committees, and the Chief Agent OfficerIncluded
Agentic Readiness: Auditing Your Organization Before the Economy Audits You
Equips participants to design and execute a structured readiness audit that surfaces which roles, decisions, and workflows in their own institution are most exposed to agentic displacement or systemic risk.
- 6.1The Readiness Audit Framework: Exposure, Dependency, and Resilience DimensionsIncluded
- 6.2Role and Workflow Mapping: Identifying Displacement and Dependency HotspotsIncluded
- 6.3Decision-Quality Indicators: Knowing When an Agent Should Not Decide AloneIncluded
- 6.4From Audit to Action: Building an Agentic Risk RoadmapIncluded
- 6.5Capstone: Presenting Your Readiness Audit to a Senior StakeholderIncluded
Who it's for
Is this you?
C-suite executives
CEOs and COOs overseeing operations where agentic systems are already being deployed need a rigorous framework for governance, risk, and board-level accountability — not a vendor pitch.
Policy strategists
Government and NGO policy directors shaping AI regulation need to stress-test frameworks like the EU AI Act and U.S. executive orders against real agentic architectures before writing the next rule.
General counsels & legal professionals
Attorneys advising on enterprise AI deployment need the emerging liability doctrines — algorithmic liability, strict liability, distributed causation — before their clients are in the defendant's seat.
Chief risk officers
Risk leaders in financial services, supply chain, and critical infrastructure need a failure taxonomy and readiness audit framework that reflects the dangerous systemic fragility of multi-agent networks, not legacy IT risk models.
Strategy economists
Economists and senior analysts who want to apply formal input-output modeling to agent-to-agent dependency mapping — translating Leontief's method into a live diagnostic tool for the agentic economy.
Knowledge-economy leaders
Directors and senior managers in consulting, professional services, or research-intensive firms whose workflows and roles are most exposed to agentic displacement need to run the readiness audit before the economy runs it for them.
Questions
Frequently asked
Your teacher
A note from your teacher
Val (Valdas) Samonis
If you are reading this, you are probably already in the room where these decisions are being made — and you have noticed that the usual frameworks are not quite keeping up.
You have watched AI move from a productivity story to an infrastructure story, and you sense the next move is something more unsettling: systems that do not just advise but act, not just in a single step but in chains, at a speed and scale that makes conventional oversight feel like a courtesy gesture. You may have encountered the words "agentic AI" in a briefing or a regulatory filing and found the treatment either alarmist or naively optimistic. What you have not found, perhaps, is a rigorous working vocabulary — the kind that lets you sit across from a technologist, a regulator, or a plaintiff's attorney and hold the analytical ground.
That is what this seminar is built to give you. I designed it around a simple conviction: the professionals who will navigate the agentic economy best are not the ones who understand the technology most deeply. They are the ones who can map the economic interdependencies, identify the failure modes, evaluate the governance architectures, and ask the questions that expose where the system is fragile. That is a teachable skill set — and it is the one almost no one is currently building at the leadership level.
The curriculum is deliberately structured to move from diagnosis to action. We start with what "agentic" actually means and why it represents a structural break from prior automation — because the conceptual distinction is not semantic; it is the difference between a tool that informs a decision and a system that makes one. We then apply Leontief's input-output method to map agent-to-agent dependencies the way an economist maps industrial interdependencies: precisely, with multiplier effects visible. From there we work through failure taxonomies, governance stress-tests, liability doctrine, and finally the readiness audit you can take back to your organization and use.
I will not pretend this material is comfortable. The governance frameworks that exist are already under stress from systems that are already deployed. The liability doctrines are genuinely unsettled. The organizational roles — including what some are beginning to call the Chief Agent Officer — do not yet have established playbooks. What I can promise is that you will leave with a rigorous analytical toolkit, a clear-eyed map of where the risks concentrate, and the vocabulary to lead the conversation rather than be led by it. I look forward to the seminar.
— Val (Valdas) Samonis
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- 6 modules, 27 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
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