AI Risk Management
Professional Development Training Course
Build AI Risk Management to strengthen safeguards, oversight, and organizational protection against evolving digital threats globally. AI Risk Management equips organizations to navigate the ethical, operational, and regulatory risks associated with AI adoption.
Participants learn how to detect vulnerabilities early, enforce governance rules, assess model behavior, and create escalation pathways to reduce exposure. The program uses practical scenarios to illustrate how small AI mistakes can trigger large operational consequences if left unmanaged. By the end, teams can confidently balance innovation with risk control.
Related Consulting
Related Research
Related Projects
Foundational Course: Delivery & Schedule
The foundational course, as outlined below, is delivered on-site in one full day or virtually in two 3.5-hour sessions. Please explore our ALFSM as seen above to learn more about our customization, flexible durations, and delivery modality options.
Course Modules & Learning Objectives
Understanding AI Risk
-
Identify operational risks created through AI workflows: detect vulnerabilities that may disrupt performance.
-
Recognize compliance issues requiring oversight: ensure adherence to regulations and mitigate organizational exposure.
-
Spot ethical concerns needing intervention: address fairness, transparency, and accountability in AI practices.
-
Evaluate risk likelihood and business impact: prioritize mitigation strategies based on severity and probability.
Governance & Controls
-
Apply guardrails preventing inappropriate AI usage: establish safeguards that ensure responsible and ethical practices.
-
Create boundaries around sensitive information: protect confidentiality and reduce risks of unauthorized exposure.
-
Conduct reviews ensuring governance compliance: validate adherence to standards and strengthen organizational accountability.
-
Document oversight processes consistently: maintain clear records that support transparency and continuous improvement.
Monitoring & Incident Response
-
Track AI behavior for deviations and anomalies: monitor outputs to detect irregularities and ensure reliability.
-
Identify hallucinations requiring correction: flag inaccurate responses and apply adjustments to maintain accuracy.
-
Establish escalation paths for critical issues: define clear protocols to resolve high-impact AI problems.
-
Perform structured post-incident analysis: evaluate events systematically to strengthen safeguards and future performance.
Applied Risk Labs
-
Resolve risk scenarios with guided decision models: apply structured approaches to anticipate and mitigate challenges.
-
Stress-test controls using realistic cases: validate safeguards under pressure to ensure resilience and reliability.
-
Model consequences of poor AI choices: analyze potential impacts to strengthen accountability and governance.
-
Build repeatable risk prevention routines: create consistent practices that reduce exposure and sustain compliance.
How Your Teams Will Benefit
This course is designed for the people who safeguard organizational integrity, compliance teams, risk officers, managers, and operational leaders who need practical tools to evaluate AI use, spot emerging risks, and apply consistent controls. It also supports employees who rely on AI in their daily work and must understand where the boundaries are so they can make sound decisions and avoid unintended misuse. Any organization pursuing responsible AI adoption will benefit, as participants leave with clearer judgment, shared language, and the confidence to apply responsible AI principles in real workflows.
How AMS Can Help
We are uniquely positioned to strengthen capability across the entire organization through a structured, modern training approach grounded in our Adaptive Learning Framework℠ (ALF). With senior-level facilitators, highly customizable courses, and multiple delivery modalities, we design learning experiences that meet participants at every level, from executives to emerging professionals, and accelerate real-world application. The ALF℠ ensures knowledge transfer at each stage, enabling individuals and teams to absorb core concepts, practice new skills, and sustain improved performance over time. This integrated approach deepens capability, enhances alignment, and results in learning that is fully embedded, practical, and built to last.
Join the ranks of leading organizations that have partnered with AMS to drive innovation, improve performance, and achieve sustainable success. Let’s transform together, your journey to excellence starts here.