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AI Governance Fundamentals: Framework, Templates & Sprint

Name: AI Governance Fundamentals: Framework, Templates & Sprint
Rating: 4.9 (73 reviews)

Build an AI governance framework, assess risk, draft policies, and assign accountability with ready-to-use templates

Role Play

Highest Rated

Created byRitesh Vajariya

Last updated 3/2026

English

What you'll learn

Build a complete AI governance framework: inventory, risk assessment, policy, and accountability
Identify and score AI risk across seven categories using a practical scoring matrix
Draft an AI acceptable use policy that any employee can understand and follow
Understand the EU AI Act, US state laws, and the national AI legislative framework
Assign governance accountability using a RACI matrix with named owners for every AI use case
Create a 30-day sprint plan to take your organization from ungoverned to Level 3 maturity
Prepare audit-ready evidence across six categories that regulators and auditors expect
Apply governance to real scenarios through hands-on assignments and AI-powered role plays

Course content

4 sections • 15 lectures • 1h 56m total length

AI Is Making Decisions in Your Organization Right Now3:58
The shadow AI problem is real: 78% of employees use unapproved tools, 38% share confidential data, and AI incidents are up 56%. You will understand why governance is urgent and meet Meridian Consulting, the firm we will govern throughout the course.
What AI Governance Actually Is (and Is Not)7:09
AI governance is not banning AI, slowing innovation, or compliance theater. It rests on three pillars: visibility, accountability, and oversight. You will apply all three to Meridian and see what ungoverned AI looks like in practice.
The Cost of Not Governing8:50
Four real-world governance failures: data leaks, fabricated citations, biased hiring, and chatbot promises. Each was preventable. You will understand the cost of inaction and why governance is a competitive advantage, not just risk prevention.

AI Inventory — You Cannot Govern What You Cannot Identify9:55
The AI inventory is the foundation of everything. You will learn the six things to catalog for every AI tool, four methods for discovering shadow AI, and walk through the inventory template live with Meridian's four use cases.
Risk Assessment — What Could Go Wrong7:36
Seven categories of AI risk: accuracy, privacy, bias, security, legal, dependency, and reputation. You will score Meridian's HR screening tool across all seven and see why it is the highest-priority governance target.
Policies and Principles — Setting the Rules9:10
The six decisions every acceptable use policy must address: approved tools, data classification, review requirements, disclosure, approval process, and incident reporting. You will draft three policy decisions for Meridian using the template.
Roles and Accountability — Who Owns AI Governance?9:42
Six governance roles and why you do not need a Chief AI Officer. You will assign named owners for all four Meridian use cases using the RACI matrix and understand why accountability is the hardest pillar to implement.
Build a Governance Framework for Your Organization

What Every Organization Must Know11:30
The EU AI Act phased timeline, the three layers of US AI regulation (state laws, federal agency guidance, and the national legislative framework), and the two governance standards worth knowing: NIST AI RMF and ISO/IEC 42001.
What Regulated Industries Must Know7:22
Industry-specific AI requirements for financial services, healthcare, legal, HR/employment, and government. You will map Meridian's four use cases to their specific regulatory exposure and understand why sector regulators are durable.
What Evidence You Need If Audited8:22
The six categories of evidence regulators and auditors expect, the minimum viable evidence package (four items), and a walkthrough of what audit-ready documentation looks like for Meridian's highest-risk use case.
Board-Level AI Governance Briefing

The AI Governance Maturity Model6:28
The five-level AI governance maturity model, three diagnostic questions to honestly assess where your organization stands, and the before-and-after transformation Meridian achieves through the 30-day sprint.
Your 30-Day Governance Sprint7:56
Week-by-week plan: Week 1 discovery and inventory, Week 2 risk assessment, Week 3 acceptable use policy, Week 4 accountability and first governance committee meeting. You will walk through each template live.
Scaling Governance as AI Evolves5:31
Governance is not a project with an end date. Four triggers require updates: new tools, new regulations, incidents, and quarterly reviews. The most powerful mechanism: making governance a gate in your procurement process.
Mini-Capstone — Govern One Use Case7:11
Your mini-capstone: govern one real AI use case from your own organization. Four steps in ten minutes: inventory entry, risk score, one policy rule, assign the owner. More governance than 90% of organizations have done.
Your Governance Journey — What Is Next5:39
Course recap, your five-template governance starter kit, three things to do this week, and the closing thought: governance is not the brake, it is the guardrail that lets you accelerate.
Draft Your 30-Day Governance Sprint Plan
Addressing Shadow AI on Your Team
AI Governance Fundamentals — Final Knowledge Check

Requirements

No technical background required. This course is designed for business professionals, not engineers. You should have a basic understanding of what AI tools like ChatGPT or Copilot do (you do not need to know how they work). Familiarity with your organization's structure and current AI usage will help you apply the frameworks immediately.

Description

Your organization is already using AI. The question is whether anyone is governing it.

78% of employees admit to using AI tools their employer never approved. Over a third are sharing confidential data with those tools. AI incidents are up 56% year over year. And only 34% of organizations have a governance framework.

This course is designed to help you start closing that gap.

What makes this course different:

● Built by someone who has governed AI in regulated industries, not by someone who read about it

● Covers the 2026 White House National AI Legislative Framework alongside existing regulations

● Practical, not theoretical: includes five ready-to-use templates, not just concepts

● Running scenario (Meridian Consulting) that makes every framework concrete and applicable

● Hands-on assignments where you build governance artifacts for your own organization

● AI-powered role play scenarios where you rehearse real governance conversations

● 15 years of regulated finance experience (Citi, JPMorgan, Bloomberg) distilled into a focused course

What you will learn:

● What AI governance actually is (and the five things it is NOT)

● The three pillars: visibility, accountability, and oversight

● Seven categories of AI risk with real-world failure examples

● How to build an AI inventory and discover shadow AI

● How to score risk across seven categories using a practical matrix

● How to draft an acceptable use policy your employees can understand and follow

● How to assign accountability using a RACI matrix

● The EU AI Act phased timeline and what it means for your organization

● The three layers of US AI regulation: state laws, federal agency guidance, and the national legislative framework

● NIST AI RMF vs ISO/IEC 42001: which framework to adopt and why

● Industry-specific requirements for financial services, healthcare, legal, HR, and government

● What evidence auditors expect and the minimum viable evidence package

● The five-level AI governance maturity model

● A week-by-week 30-day sprint plan designed to help you move from Level 1 (Unaware) toward Level 3 (Defined)

What you will build:

Throughout the course, you will follow Meridian Consulting, a fictional 200-person firm with four ungoverned AI use cases. By the end, you will have worked through governing all four and practiced building governance artifacts for your own organization.

Your governance starter kit (5 downloadable templates):

1. AI Inventory Template (Excel)

2. AI Risk Assessment Template (Excel)

3. Acceptable Use Policy Template (Word)

4. AI Governance RACI Matrix (Excel)

5. 30-Day Governance Sprint Planner (PDF)

Plus 3 bonus resources: Audit Readiness Checklist, Regulatory Quick Reference Guide, and Maturity Model Self-Assessment.

What you will practice:

● Assignment 1: Build a governance framework for your organization (inventory, risk score, policy rules, owner assignment)

● Assignment 2: Draft your 30-day governance sprint plan with specific people, timelines, and deliverables

● Role Play 1: Brief your CEO on AI governance requirements (AI-powered, you rehearse the real conversation)

● Role Play 2: Address shadow AI on your team with a defensive VP who sees governance as a threat to productivity

Course format:

● ~90 minutes across 15 videos + 1 promo

● Face-on-camera for hooks, scenarios, and recaps

● Professional slides with voiceover for frameworks and data

● Screen recordings walking through each template live

● 2 hands-on assignments with instructor solutions

● 2 AI-powered role play scenarios

● Downloadable templates ready to use the same day

Your instructor:

Ritesh Vajariya has spent 15 years in regulated finance at Citi, JPMorgan, and Bloomberg, including work on BloombergGPT. He spent 5 years as an AWS Principal Architect, involved in launching SageMaker and Bedrock. Most recently, he led global generative AI strategy at Cerebras. He has trained over 60,000 professionals across 65+ courses. When he covers compliance, he is drawing from 15 years in regulated financial environments, not reading documentation.

This course is designed for anyone responsible for how AI is used in their organization. If you are a business leader, compliance professional, IT director, HR leader, legal counsel, or anyone who has realized that AI governance is no longer optional, this course provides the frameworks, templates, and practice scenarios to help you get started.

Who this course is for:

Business leaders and executives responsible for AI adoption and risk management
Compliance and governance professionals expanding into AI oversight
IT directors and CISOs managing AI tool deployment and security
HR leaders using or evaluating AI for hiring, performance, or workforce decisions
Legal counsel advising on AI-related regulatory requirements
Consultants and advisors helping clients navigate AI governance
Anyone who has realized their organization is using AI without governance and wants to fix it

AI Governance Fundamentals: Framework, Templates & Sprint

What you'll learn

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Course content

Why Governance — The Wake-Up Call3 lectures • 20min

The Governance Framework4 lectures • 36min

Regulation and Compliance4 lectures • 27min

Getting Started — Your First 30 Days6 lectures • 33min

Requirements

Description

Who this course is for: