Board-Level AI Literacy

Governance-grade AI fluency for boards and the C-suite: enough technical grounding to oversee strategy and risk credibly. The course centers on the questions directors should ask and the answers that should worry them.

What this course covers

The course runs across 7 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Fiduciary-Grade AI Fluency: Demystifying the Technology — Establishes a baseline of technical grounding for board members. Understand the difference between predictive and generative AI, how models are trained, and what 'fiduciary-grade' understanding requires without getting lost in technical jargon.
AI Strategy: Evaluating Business Cases and Competitive Advantage — Key strategy questions directors must ask regarding AI investments. Learn to evaluate buy-vs-build decisions, assess long-term ROI, and challenge management's assumptions on AI-driven market differentiation.
Risk Oversight: Managing Hallucinations, Bias, and Data Privacy — Deep dive into the unique operational risks of AI. Learn how to oversee model reliability, data lineage, ethical bias, and the safeguarding of proprietary corporate data.
Legal, Regulatory, and Intellectual Property Liabilities — Oversight of emerging legal risks, including copyright infringement, liability for AI-generated outputs, and compliance with global regulations like the EU AI Act and FTC guidelines.
Boardroom Q&A: Spotting Red Flags in Management Responses — A practical guide to questioning the C-suite. Learn which specific answers from management should worry directors, and how to probe deeper into vague or overly optimistic AI progress reports.
AI Disclosure Trends and ESG Reporting — Examine evolving SEC guidance and global standards for public AI disclosures. Learn how to balance transparency with competitive secrecy and manage the environmental and social governance impacts of high-compute AI.
Structuring Board-Level AI Governance — How to organize board oversight of AI—whether through existing audit/risk committees or a dedicated technology committee—and establishing clear escalation protocols for AI crises.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Board members, C-suite. The material is pitched at intermediate level, and takes roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Adoption & Leadership track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including branching scenario, role play exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a quiz assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

All AI Leadership training courses →
Leading Teams Through AI Adoption — People managers and team leads learn to guide their team through adopting AI in daily work. The course covers setting vision and expectations, redesigning workflows, coaching, addressing fear, and building momentum. Participants finish able to turn AI from a curiosity into a habit on their team.
Running Effective AI Pilots — This course turns AI experimentation into disciplined pilots: tight scope, defined metrics, and honest go/no-go readouts. Learners design a pilot plan for a real use case in their org.
Navigating AI Job-Change Anxiety — A candid course for leaders on the human side of AI adoption: acknowledging real change, holding honest role conversations, and building reskilling paths. Learners practice the hard conversations in role-play.
Running an AI Champions Program — Enablement and program leads learn to stand up and run an internal AI champions network. The course covers selecting champions, enabling them, building community, running feedback loops, and scaling. Learners finish able to grow grassroots AI capability across the org.
AI Vendor & Tool Selection — A practical procurement course for AI tooling: evaluation criteria, security review, structured bake-offs, and pricing traps. Learners build a reusable vendor scorecard.
AI Adoption Leadership Assessment — Measures whether a leader can identify use cases, plan a pilot, set guardrails and judge results.
AI Program Leader — Stand up and scale an organizational AI program

Frequently asked questions

How long does this course take?

It runs roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code ADO-BRD.