AI Governance 

Getting AI Governance Funded: The Board Conversation

Temi Odesanya

AI Governance Leader

Ola Ajayi

AI Governance & Privacy Leader

Precious Erugo

Lawyer & AI, Product Compliance Leader

Connect AI risk to resilience, regulatory readiness, reputation, and enterprise outcomes.

Frame AI risk in board-level business terms

Learn the decision-based structure boards are empowered to approve, reject, or escalate.

Structure a board-ready decision instead of a budget request

Express governance value using the language executives use to fund strategic initiatives.

Build a compelling case for governance investment

Apply the framework to one of your own AI use cases during the live workshop.

Draft a board opening for your own AI governance case

Your agents are already acting. Govern what they do, who is accountable, and how to prove it when something goes wrong.

AI Governance Advisor | Founder, INTLDA

Pfizer

Accenture

Cornell University

S&P Global

Uvika Sharma

Founder, INTLDA | AI Strategist, Governance Advisor | Educator | Keynote Speaker

AI Governance Auditor | AIGP | ISO 42001

Deloitte

Wells Fargo

Evan Benjamin

AI Governance Advisor, INTLDA | AIGP | ISO 42001 Auditor | Algorithmic Auditor

Cohort 1

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.

Your AI agents are already acting. Nobody defined what they are allowed to do.

Know what agents are running right now

Define what each agent can and cannot do

Name who is accountable for agent harm

Build an audit trail regulators can read

Build your 90-day governance roadmap

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.

You will walk into any AI conversation able to read the proposal, ask the questions that matter, and shape the decision in your own voice.

AI Transformation Leader & Educator

University of Exeter

Lloyds Bank

Deidré Luzmore

Founder of Your AI Journey

LIMITED SEATS! (Use code: earlybird for $500 off ) ♾️ A free seat in every future cohort, for life🏫 AI Leadership community included.📚 24 lessons across 8 modules. 16 hours live with Deidré.🧰 3 artefacts you build on your own AI proposal and take to work✉️ Private team training available: info [@] youraijourney.comYou are sitting in another meeting about AI. A vendor is presenting, a technical colleague is nodding, and someone says the word agentic. You have twenty years of experience in your field, and right now none of it feels like it counts.What you have to contribute still counts. You are not behind. Yours is the missing voice in the room. This course is for the leader who has to live with AI decisions made by other people. It teaches you to spot weak AI thinking before it becomes weak AI rollout, ask the questions others miss, and shape the decision from your own seat without being labelled obstructionist.Over eight weeks you build a framework for thinking, practise it on a realistic case study, then apply it to a real AI proposal in your own organisation. You leave able to shape the decisions you used to absorb.

The non-technical leader is the missing voice in nearly every AI decision.

Speak the language of AI without bluffing

Read any AI proposal and form a defensible position

Choose the right intervention with the Five Routes framework

Ask the questions that stop weak AI rollouts

Define where humans stay in the loop, and design safe pilots

Lead the adoption conversation on your home turf

<pre><code class="language-markdown">The People &amp; Culture leader- You lead HR, People or Internal Communications. You have been asked to represent the workforce in AI decisions.</code></pre>

<pre><code class="language-markdown">The Finance, Risk or Legal leader signing off the exposure- You lead Finance, Risk, Compliance, Legal or Internal Audit.</code></pre>

<pre><code class="language-markdown">The Operations, Marketing or CX leader living with the AI tools you never asked for- You lead Operations, Marketing or Customer Experience.</code></pre>

In 2 weeks, you'll learn how to implement an AI Governance Framework in practice and gain the confidence to make AI Governance operational.

Pioneering Trustworthy & Responsible AI

Shell

University of Warwick

AI You Can Trust

Lloyds Banking Group

Dr Georgiana Marsic

Head of Data & AI Assurance at Lloyds Banking Group. ISO 42001 Lead Implementer.

NatWest Group

Fujitsu Global

HSBC

Credit Suisse

Dr Paul Dongha

Paul is the Head of Responsible AI and AI Strategy at one of UKs largest banks.

June 2026

September 2026

Learn how to implement your organisation’s AI Governance Framework in 2 weeks. Leave with practical knowledge, frameworks and ready-to-deploy templates, but more importantly with the clarity of knowing how to embed Responsible AI practices in your organisation to build trust with your stakeholders and prepare for compliance with the EU AI Act and other AI regulations.

Practical course showing how to make AI Governance operational

The case for AI Governance and the architecture of an AI Governance Framework

Establish your AI Governance Purpose, Principles and Direction

Authority, Accountability and Governance Structures

Risk, Control Environment and Assurance

Establish AI Lifecycle Governance to Govern AI Solutions Including Agentic AI

Capability, Implementation and Evolution: Operationalising AI Governance 

Anyone interested to learn about how AI Governance is implemented in an organisation

Leaders / practitioners who directly oversee or contribute to establishing Responsible AI practices

Compliance guardians (e.g., Legal Counsel, Privacy Officer, Chief Risk Officer) or AI product leaders (e.g., Head of AI, Product Managers)

Govern the HR AI tools you already use. Know what's high-risk, build a governance map, and question vendors before you sign anything.

Head of Talent , ex- Novartis | NYU Alum

Novartis

New York University

Aarti Mudaliar

Head of Talent, Novartis | NYU Alumni | Microsoft, AWS & Google certified

Founder, INTLDA | AI Governance Advisor

Uvika Sharma 

Founder, INTLDA | AI Governance Advisor | Keynote Speaker | Cornell Alum

You didn't build the AI. You're still liable for it.McDonald's exposed 64 million applicant records. Samsung lost 270,000 customer records through a vendor's unrotated credentials. Air Canada was held liable for what its own chatbot promised a customer. None of these were AI failures. They were governance failures, and the company answered for it, not the vendor.Under the EU AI Act, NYC Local Law 144, and Colorado's new AI law, you're the deployer of record for every HR tool your team runs, whether you built it or bought it. Most HR leaders confuse responsible AI with AI governance. Responsible AI is the standard: fair, explainable, accountable. Governance is the proof: who signs off, what gets logged, what you hand a regulator when a decision is challenged.This course builds that proof live, on tools your team already uses. You leave with three real artifacts: a risk-tiered inventory, a one-page governance map, a vendor accountability assessment. Built by you, in the room, led by two practitioners with 38 combined years in HR operations and AI governance. Not a certificate. Not a template. A file you can hand your CHRO or General Counsel on Monday.

You didn't build the AI. You're still liable for it. Here's the proof you need.

Know which of your HR AI tools are high-risk, and which aren't

Understand the difference between Responsible AI and AI Governance

Build a one-page governance map for one tool you actually use

Know what your vendors aren't telling you

Understand what the law actually requires of HR right now

Leave with three connected artifacts for one real tool

You're a Senior HR Leader who has been handed an AI mandate with no roadmap and you're expected to have a governance point of view on AI

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Everyone

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Project Managers

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Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Executive communication — presenting to boards, writing memos, running all-hands, and high-stakes messaging.

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

Persuading stakeholders, presenting ideas, and getting buy-in across an organization without formal authority.

Establishing policies, ethics frameworks, and oversight for responsible AI use in organizations.