AI Risk Management

Professional Development Training Course

AMS-AI-Risk

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.

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Clients & Testimonials
Customize With AMS's 4x4 Design ModelSM
Our 4x4 Design ModelSM powers a modular content library that enables dynamic, scalable learning solutions. This approach allows organizations to tailor training to their workforce needs while ensuring relevance, flexibility, and measurable impact.

Design Framework

  • Select Relevant Topics - Map courses to the learning cohort by choosing catalog titles as published, customizing them thematically/topically, or combining modules from across the catalog to address specific objectives, competency models, or upskilling requirements.
  • Choose Flexible Delivery Modality - Options include on‑site sessions, virtual instructor‑led training (VILT), and hybrid formats to meet the cohorts where they are. 
  • Choose Content Framework - Options include full courses, micro‑learning modules, certification curricula, custom learning tracks, or “power‑skills” workshops. Each module in the 4x4 Design ModelSM represents 90 minutes of instruction and can be stacked to meet learning objectives, duration guidelines, or hybrid development needs. Published course descriptions are built on a four to eight module foundation, which allows content to be added or subtracted to flexibly address those variables.
  • Collaborate with Experts - Engage with Senior Consultants & Facilitators through our Engagement Models to refine the customized course and strengthen the cohort alignment via an iterative design process that enables the steps to follow. 
  • Customize & Embedded Action Learning Models - Models integrate scenario‑driven modules, thought leader questions, dynamic content, application exercises, adaptive tools, models, research, and personal action plans ensuring post‑session skills application, measurement, and shared accountability.
  • Reinforce the Learning Journey - Fully integrate the process with LMS platforms, align to performance metrics, and/or support individual career pathways for measurable long‑term impact.
Contact us to discuss your unique needs, explore delivery at scale, and discover how our Learning & Development Blueprint, backed by decades of global enterprise experience, helps organizations and individuals achieve high‑performance goals.

Delivery Options

This program is delivered on-site in one full day or virtually in two 3.5-hour sessions.

Course Modules

Understanding AI Risk

  • Identify operational risks created through AI workflows.

  • Recognize compliance issues requiring oversight.

  • Spot ethical concerns needing intervention.

  • Evaluate risk likelihood and business impact.

Governance & Controls

  • Apply guardrails preventing inappropriate AI usage.

  • Create boundaries around sensitive information.

  • Conduct reviews ensuring governance compliance.

  • Document oversight processes consistently.

Monitoring & Incident Response

  • Track AI behavior for deviations and anomalies.

  • Identify hallucinations requiring correction.

  • Establish escalation paths for critical issues.

  • Perform structured post-incident analysis.

Applied Risk Labs

  • Resolve risk scenarios with guided decision models.

  • Stress-test controls using realistic cases.

  • Model consequences of poor AI choices.

  • Build repeatable risk prevention routines.

Who Should Attend

This program is designed for compliance teams, risk officers, managers, and operational leaders responsible for protecting the organization. It is also valuable for employees who use AI routinely and must understand risk boundaries. Any organization seeking responsible AI adoption will benefit.

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