| Central Time (CT) Online | November 18, 2025 | $895.00 + tax |
Course Overview
Duration: 8 Hours (Full-Day Workshop Online or In Person for Organizations)
Format: Interactive Training with Hands-On Exercises, Case Studies, and Group Discussions
Course Summary:
In today’s dynamic business environment, organizations face increasing challenges in managing workplace investigations related to employee conduct, compliance issues, fraud, harassment, and data security. Artificial Intelligence (AI) offers powerful tools to enhance these investigative processes, making them more efficient, accurate, and proactive.
This comprehensive 8-hour course is designed to equip professionals with the knowledge and skills to leverage AI technologies effectively in workplace investigations. Through instructor-led presentations, real-world case studies, interactive exercises, and group discussions, participants will explore the latest AI applications, ethical and legal considerations, and strategies for successful implementation within their organizations.
Why Attend?
- Stay Ahead of the Curve: Understand the rapidly evolving landscape of AI in workplace investigations.
- Enhance Efficiency: Learn how AI can streamline investigative processes, saving time and resources.
- Improve Detection and Prevention: Discover how AI can proactively identify misconduct and compliance breaches.
- Navigate Ethical and Legal Complexities: Gain insights into the ethical considerations and legal requirements of using AI.
- Practical Experience: Engage in hands-on exercises with leading AI tools to apply your learning immediately.
Course Highlights
- Interactive Learning: Includes group activities, discussions, and real-world case studies for practical understanding.
- Hands-On Experience: Opportunities to work directly with AI tools used in investigations.
- Comprehensive Materials: Receive a detailed course workbook, resource lists, and access to demo AI software.
- Networking Opportunities: Connect with peers from various industries facing similar challenges.
What You’ll Gain
- Knowledge of AI Technologies: Deep understanding of AI applications relevant to workplace investigations.
- Practical Skills: Ability to use AI tools for detecting fraud, misconduct, and security threats.
- Strategic Insights: Strategies for implementing AI effectively and ethically within your organization.
- Awareness of Legal and Ethical Issues: Understanding of data privacy laws, employee rights, and ethical considerations.
- Actionable Plan: Develop a roadmap to integrate AI into your investigative workflows.
Who Should Attend?
- HR Professionals and Managers
- Compliance Officers
- Internal Auditors
- Legal and Corporate Counsel
- Security and Risk Management Professionals
- IT Managers involved in Security and Compliance
- Corporate Investigators
- Workplace Investigators
- Private Investigators
Don’t Miss Out!
Equip yourself with the knowledge and tools to lead in the AI-driven future. Enroll now to secure your spot in this comprehensive training and take the first step towards transforming your professional investigative landscape with Artificial Intelligence.
Your instructor is a certified AI Developer, certified AI Prompt Engineer and received a certificate from Massachusetts Institute of Technology – Sloan School of Business in Artificial Intelligence: Application for Business program. He is also a member of the Association for the Advancement of Artificial Intelligence (AAAI) and the Canadian Artificial Intelligence Association (CAIAC).
Training Session Outline
Module 1: Understanding AI in Workplace Investigations (Duration: 1 hour 15 minutes)
Overall Objective:
Introduce participants to the fundamentals of AI and its significance in modernizing and improving workplace investigations.
Topics Covered:
- Introduction to AI:
- Definition and evolution of AI
- Relevance to workplace investigations
- Core AI Technologies:
- Machine Learning
- Natural Language Processing (NLP)
- Sentiment Analysis
- Anomaly Detection
- AI Tools in Investigations:
- Overview of common AI tools and software
- Interactive Q&A Session
Module 2: AI Applications in Workplace Investigations (Duration: 1 hour)
Overall Objective:
Explore practical applications of AI in detecting and preventing workplace issues.
Topics Covered:
- Fraud and Financial Misconduct:
- AI in detecting financial irregularities
- Employee Misconduct and Policy Violations:
- Monitoring compliance with company policies
- Harassment and Discrimination Investigations:
- Analyzing communications for inappropriate content
- Data Security and Insider Threats:
- Monitoring access and preventing data leaks
- Case Studies Discussion:
- Real-world examples illustrating AI applications
- Interactive Discussion
Module 3: Implementing AI in Workplace Investigations (Duration: 1 hour 15 minutes)
Overall Objective:
Provide strategies and best practices for effectively integrating AI tools into existing investigative processes while ensuring organizational readiness and compliance.
Topics Covered:
- Assessing Organizational Readiness:
- Evaluating current processes and defining goals
- Selecting Appropriate AI Tools:
- Criteria for selection and levels of effort required
- Data Privacy and Compliance Considerations:
- Understanding legal obligations and ethical use
- Case Studies Discussion:
- Examples of successful AI implementation
- Group Activity:
- Designing an AI implementation plan
Module 4: Ethical and Legal Considerations (Duration: 45 minutes)
Overall Objective:
Understand the ethical and legal implications of using AI in workplace investigations, including navigating privacy laws and addressing potential biases.
Topics Covered:
- Privacy Laws and Employee Rights:
- GDPR, CCPA, and their impact on investigations
- Bias and Fairness in AI Applications:
- Recognizing and mitigating algorithmic bias
- Transparency and Consent:
- Importance of communication and obtaining consent
- Regulatory Compliance:
- Ensuring adherence to laws and regulations
- Case Studies Discussion:
- Ethical and legal challenges in AI use
Module 5: Hands-On Experience with AI Tools (Duration: 1 hour)
Overall Objective:
Equip participants with practical skills by providing hands-on experience with leading AI tools used in workplace investigations.
Topics Covered:
- Demonstration of AI Tools:
- Introduction to tools like Relativity or Nuix
- Interactive Exercise:
- Scenario-based activity using sample datasets
- Data Analysis Techniques:
- Keyword search, filtering, and reporting
- Group Discussion:
- Sharing experiences and potential applications
Module 6: Developing an AI Strategy for Workplace Investigations. (Duration: 45 minutes)
Overall Objective:
Guide participants in creating a strategic plan for implementing AI solutions in their organizations, considering resources, risks, and action steps.
Topics Covered:
- Strategic Planning:
- Aligning AI initiatives with organizational goals
- Resource Allocation and Training:
- Budgeting and identifying training needs
- Risk Management:
- Identifying risks and mitigation strategies
- Action Plan Development:
- Implementation steps and monitoring progress
- Case Studies Discussion:
- Analyzing successful AI strategies
Module 7: Future Trends in AI for Workplace Investigations (Duration: 45 minutes)
Overall Objective:
Examine emerging AI technologies and trends that will impact future workplace investigations and discuss how to prepare for these advancements.
Topics Covered:
- Emerging Technologies:
- Predictive analytics, AI chatbots, advanced behavioral analytics
- Impact on Workplace Policies:
- Policy evolution and employee relations
- Legal Developments and Precedents:
- Court cases and legislation updates
- Open Discussion:
- Future outlook, challenges, and opportunities
- Case Studies Discussion:
- Exploring future trends through examples
Closing Remarks and Q&A (Duration: 15 minutes)
Overall Objective:
Summarize key insights from the course, provide additional resources, and address any remaining questions to ensure participants are equipped to apply their learning effectively.
Activities:
- Summary of Key Insights:
- Recap of major themes and takeaways
- Additional Resources:
- Recommended readings and tools
- Feedback Collection:
- Participant evaluations
- Final Q&A Session:
- Addressing outstanding questions