Successful AI adoption depends on more than technology. It requires people who understand how to use AI effectively, evaluate its outputs, improve the quality of decisions, lead AI-enabled work, and remain accountable for the outcomes AI influences.
The Academy provides practical, role-based education for employees, managers, executives, analysts, project teams, governance professionals, and decision leaders — spanning foundational AI literacy, everyday workplace applications, Decision Science and AI Decision Intelligence, management and leadership, responsible AI, human oversight, decision assurance, and Governance Beta™ professional education.
Capability development across six connected areas.
AI literacy is an essential starting point, but organizations also need people who can apply AI to real work, assess evidence and uncertainty, exercise sound judgment, recognize risk, lead responsible adoption, and maintain accountability for AI-assisted decisions.
Understand AI
Build foundational knowledge of AI, generative AI, capabilities, limitations, and responsible use.
Use AI
Apply AI effectively to communication, research, analysis, workflows, and everyday work.
Improve decisions
Strengthen decision framing, evidence evaluation, judgment, and the use of AI-supported information.
Lead AI-enabled work
Prepare managers and executives to oversee AI-supported teams, processes, and change.
Govern AI
Develop knowledge of risk, accountability, policies, controls, stakeholder concerns, and escalation.
Assure decisions
Establish meaningful human oversight and evidence that consequential AI-assisted decisions received appropriate review.
Training programs can stand alone or be combined into an organizational learning journey. Organizations do not need to adopt Governance Beta™ to benefit from the Academy's AI Essentials, applied skills, Decision Science, leadership, or responsible AI programs.
Training and professional education
Programs for every role in an AI-enabled organization.
AI Essentials and Workforce Readiness
Practical education for employees who need to understand and use AI effectively in everyday work.
AI and Generative AI Essentials
AI capabilities and limitations
Prompting that works
AI for everyday work
Summarizing and analyzing information with AI
Judgment, accuracy, and verification
Responsible and safe AI use
Data awareness and appropriate information handling
Human responsibility when using AI
Best for: General workforce, new AI users, organizational adoption programs, and technology-readiness initiatives.
Applied AI and Workplace Skills
Role-based education that moves beyond basic literacy and helps participants incorporate AI into actual work. Programs can be customized around the tools, processes, and use cases relevant to the organization.
AI-supported research and analysis
Writing and communication
Information synthesis
Workflow improvement
Process automation
AI-assisted problem-solving
Evaluating AI-generated work
Effective human-AI collaboration
Best for: Professional staff, analysts, project teams, operations teams, and functional departments.
Decision Science and AI Decision Intelligence
AI changes not only how work is performed, but also how information is interpreted and used to make decisions. Participants learn to distinguish between producing information with AI and making a decision based on AI-generated information.
Foundations of Decision Science
Structured decision-making and decision framing
Evidence, uncertainty, and assumptions
Cognitive bias and human judgment
Data-informed decision-making
AI-assisted decision-making
Comparing human and machine recommendations
Decision criteria and tradeoffs
Stakeholder perspectives
Decision documentation
Decision quality and assurance
Best for: Managers, executives, analysts, strategists, consultants, program leaders, and professionals responsible for consequential decisions.
Management and Leadership Education
Managers and executives require different AI capabilities than general users. Leadership education prepares them to oversee AI-enabled work, evaluate recommendations, establish appropriate controls, and determine how AI should influence organizational decisions.
AI for managers
Executive AI literacy
AI strategy for leaders
Managing AI-enabled teams
Evaluating AI-supported work
Human-in-the-loop management
Decision accountability
AI adoption and organizational change
Risk, exceptions, and escalation
Responsible AI leadership
Best for: Supervisors, managers, executives, boards, program leaders, and organizational decision-makers.
Responsible AI and Governance
Organizations using AI need people who understand the policies, responsibilities, controls, and governance practices surrounding its use. This education can support an existing governance approach or complement an AI Govern consulting engagement.
Responsible AI principles
AI risk
Fairness, transparency, accountability, and trust
Human oversight
AI use-case governance
AI impact and risk assessment
Governance roles and responsibilities
Documentation and escalation
Organizational AI policies
AI governance frameworks and standards
Best for: Governance committees, risk and compliance teams, managers, technology leaders, project teams, and executives.
Human-in-the-Loop and AI Decision Assurance
Specialized education for the point where AI recommendations, scores, analyses, predictions, or generated content influence human decisions. Participants learn how to establish meaningful human review — not simply place a person somewhere in an automated process.
Identifying consequential decision points
Human review responsibilities and authority
Appropriate reliance on AI
Challenging AI recommendations
Evidence and verification
Escalation thresholds
Exceptions and overrides
Decision documentation
Accountability
AI decision assurance
Best for: Managers, decision-makers, risk professionals, internal assurance teams, AI project teams, and organizations deploying AI into consequential workflows.
Governance Beta™ Professional Education
A specialized professional education pathway within the broader Academy. Building on AI governance, Decision Science, stakeholder analysis, human oversight, and AI Decision Intelligence, it prepares participants to apply the framework to AI-assisted decisions and organizational governance environments.
Stakeholder and ethical-term analysis
Governance Beta™ assessment methods
Human-in-the-loop evaluation
Applied case analysis
Decision-assurance exercises
Governance and decision documentation
Organizational implementation practices
Best for: Governance professionals, consultants, researchers, assurance professionals, organizational leaders, and practitioners seeking advanced capability in AI-assisted decision governance.
Sample learning path
A learning path for managers.
Managers occupy a critical position in responsible AI adoption. They approve work, evaluate recommendations, manage exceptions, and determine when an AI-supported result is ready to influence a business decision.
01
AI Foundations
Build a practical understanding of AI, generative AI, workplace applications, limitations, and organizational responsibilities. Managers learn to recognize appropriate and inappropriate uses and identify when human review is required.
02
Prompting and Applied AI Use
Develop practical skills for interacting with AI and improving AI-supported work — providing clear instructions and context, assessing summaries and analyses, and avoiding the assumption that fluent outputs are automatically accurate.
03
Decision Science and Judgment
Strengthen decision framing, evidence evaluation, critical thinking, and awareness of bias and uncertainty. Managers learn to assess whether available information is sufficient for action.
04
Accuracy, Safety, and Responsible Use
Apply structured review questions before AI output is used in a decision, communication, recommendation, or work product.
Is the information accurate?
Is the evidence sufficient and relevant?
What assumptions or uncertainties are present?
Is anything important missing?
Could the result create unfair or unintended consequences?
Does this matter require additional review or escalation?
05
Human Oversight and AI Decision Assurance
Identify meaningful decision points, define the authority of human reviewers, establish review and escalation expectations, document material judgments and exceptions, and distinguish AI assistance from accountable human decision-making.
06
Governance and Leadership
Oversee AI-enabled work, support organizational policy, participate in governance processes, manage change, and communicate responsibilities to their teams.
07
Optional Governance Beta™ for Managers
An advanced pathway introducing a structured approach for examining AI influence, human judgment, organizational values, stakeholder concerns, and decision accountability.
Manager outcome
The goal is not to turn every manager into an AI engineer or compliance specialist. The goal is to create AI-capable decision leaders who can use AI while preserving human judgment, accountability, and organizational control.
AI should support decisions — not remove accountability.
Many organizations begin AI governance with systems, policies, inventories, and technical controls. Those elements are important, but they do not fully address what happens when a person relies on AI to make or influence a decision. The human reviewer must understand what they are responsible for, what evidence to examine, when to challenge an AI result, and when to escalate a decision.
Decision Awareness
Recognize when AI is influencing a meaningful organizational decision — even when the system produces only a recommendation, summary, ranking, score, draft, or analysis.
Review Discipline
Use repeatable methods to question AI output, check accuracy, evaluate evidence, identify uncertainty, and consider stakeholder impact.
Escalation Judgment
Recognize when a decision exceeds an individual's authority, presents elevated risk, requires additional expertise, or should enter a formal governance process.
Accountability
Maintain accountable human ownership. AI may inform judgment, but responsibility remains with the organization and its authorized decision-makers.
What evidence should the organization have that an AI-assisted decision received appropriate human judgment, oversight, and accountability?
A human-in-the-loop control is meaningful only when the human has the knowledge, authority, time, information, and practical ability to influence the outcome. The Academy develops the knowledge and behaviors organizations need to answer that question consistently.
Governance Beta™
Turn governance principles into decision practice.
Workshops and facilitated exercises
Use real or simulated AI-assisted decisions to compare stakeholder perspectives, identify governance concerns, examine competing values, determine appropriate oversight, and document decision reasoning.
Professional practice development
Prepare advanced practitioners to use Governance Beta™ systematically in consulting, governance, assurance, research, organizational leadership, and AI-enabled decision environments.
Engage the Academy in the format that fits your workforce.
Individual courses
Self-paced learning
Instructor-led training
Structured learning paths
Workforce AI Essentials programs
Applied AI workplace programs
Manager and executive programs
Decision Science and AI Decision Intelligence programs
Responsible AI and governance programs
Human-in-the-loop and decision-assurance education
Workshops and facilitated exercises
Executive briefings
Engagement-specific education
Customized organizational academies
Governance Beta™ professional education
Programs can stand alone or be combined based on workforce roles, business needs, technology environment, and organizational maturity.
Build an AI-capable, decision-ready workforce.
Organizations need employees who can use AI, professionals who can apply it to real work, managers who can evaluate its outputs, leaders who can guide adoption, and governance professionals who can help ensure that consequential AI-assisted decisions remain subject to meaningful human judgment and accountability.
Understand AI. Use AI. Improve Decisions. Lead. Govern. Assure.
