Governing Agentic AI: The GUIDED Framework for Leaders
Uvika Sharma
AI Governance Advisor | Founder, INTLDA
Evan Benjamin
AI Governance Auditor | AIGP | ISO 42001
Your AI agents are already acting. Nobody defined what they are allowed to do.
Build the governance system your organization needs before your next board meeting, your next regulator, or your next incident.
AI agents are not coming. They are already inside your organization, making decisions about customers, vendors, employees, and compliance without a human in the loop.
Most leaders know this. What they do not have is a governance system built for it. The frameworks organizations rely on were designed for AI that assists. Agentic AI acts. That is a different problem, and it needs a different answer.
This course is that answer.
Over four weeks, you will work through GUIDED, INTLDA's proprietary framework for governing agentic AI. Six actions. One governance system. Built by you, for your organization, during the course. You will not leave with a certificate and a folder of notes. You will leave with six governance artifacts you can use the week after each session ends.
Learn from trusted advisors Uvika Sharma and Evan Benjamin. Together they teach governance as a practice, not a subject. What you build in this course is the beginning of a real governance program, not a hypothetical.
What you’ll learn
Your agents are already acting. Govern what they do, who is accountable, and how to prove it when something goes wrong.
Most orgs discover unknown agents on their initial AI inventory. Shadow agents are common.
A sanctioned agent without defined boundaries is still ungoverned.
Leave with a completed agent inventory: every known agent, risk tier, and auth status.
Build an Authorization Framework with hard stops, soft stops, and autonomous zones.
Authentication proves who the agent is. Authorization governs what it can do right now.
Leave with documented boundaries for at least one live agent in your organization.
If an agent caused harm today, could you name who is responsible? Is it documented?
Build an Accountability Chain that is traceable and defensible in front of a board.
Leave with an Accountability Map that names who owns what, with gaps identified.
Most orgs have a system log and call it governance. They are not the same thing.
Design logging that supports multiagent decision reconstruction across agent chains.
Leave with Audit Trail Requirements defining what must be captured and by whom.
Most orgs fail at agentic AI governance not because they lack a policy but a practice.
Learn to spot governance theater: when your governance is performative, not operational.
Leave with a 90-Day GUIDED Roadmap ready to share with your leadership team.
Learn directly from Uvika & Evan
Uvika Sharma
Founder, INTLDA | AI Strategist, Governance Advisor | Educator | Keynote Speaker
Evan Benjamin
AI Governance Advisor, INTLDA | AIGP | ISO 42001 Auditor | Algorithmic Auditor
Who this course is for
Executives and senior leaders responsible for AI in their organization who need governance that works, not a policy that sits in a drawer
Chief AI, data, and risk officers building enterprise governance programs who need a framework built for agents, not just AI tools.
GCs and compliance officers who need to know what their agents can do, who owns the risk, and how to prove it to a regulator.
What's included
Live sessions
Learn directly from Uvika Sharma & Evan Benjamin in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
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Course syllabus
Week 1
G + U: Ground It and Unbind the Boundaries
Week 2
I + D: Install Accountability and Design the Audit Trail
Schedule
Live sessions
1 hr / week
Projects
1 hr / week
Frequently asked questions
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