CRVPM Level VIII/Certified Vendor AI Analyst (CVAIA®)

CRVPM Level VIII/Certified Vendor AI Analyst (CVAIA®)

AI is moving faster than the speed of thought and keeping up with this dynamically evolving game-changing technology can be difficult at best. AI provides huge benefits if we understand how and when to leverage it and how to vet our vendors. There are a multitude of definitions to understand as well as risks and business benefits. Knowing which questions to ask your vendors is as challenging as understanding their responses. And by the way, not everything that claims to be AI really is AI. The pressure from Senior Executives and Board members who want to jump into AI out of Fear of Missing Out (FOMO) creates additional pressure to move forward before we know what we don’t know, resulting in a plethora of exposures on multiple levels.

Web-based, self-paced eLearning course. EXTREMELY COMPREHENSIVE!

Course: 551 pages, 7 chapters, each with exam (80% to pass)

Time Required: Approximately 15 hours

CPE Eligible: 18 CPE credits (based on 1 credit per 50 minutes)

Cost: $1,499.00 per person ($1,299 for CRVPMs)

Course Materials: Companion Documents, AI Due Diligence Question Set

Post-course:

• CVAIA® Certificate
• CVAIA® Designation Number
• CVAIA® Badge
• 1 year free telephone/email support

COURSE GOALS

Knowledgebase: Build your AI vocabulary, knowledgebase and skillsets, and impart the confidence you need to have well-informed meaningful AI discussions with your team, management, and your vendors before you take the AI plunge.

Risk Management: Understand what AI Risk is, how it differs from traditional risk, and understand the frameworks that help identify, measure, manage and mitigate it.

Vendor Management: Develop the knowledge required to augment your current vendor management program and build a vetting process for AI technologies and the vendors that provide them or provide solutions that utilize them.

AGENDA

Chapter 1 – Artificial Intelligence: this chapter discusses the following:

• What AI is and, just as important, what it is not
• AI Types & AI Technologies
• AI Models Defined
• Use cases
• Benefits and Risks of Artificial Intelligence

Chapter 2 –Go or No Go? don’t just jump in with both feet before taking the proper steps to determine whether AI is for your and where it’s best to implement it. This chapter explores

• AI Risks – they are numerous!
• AI Benefits – what can you expect form a successful implementation
• AI Working Group – what should its function be and who should be a part of it?
• Proof of Concept: after identifying a target for AI implementation, will it work technically? A POC is essential. But why do POCs fail and why do they succeed?
• Pilot Program: If your POC has succeeded or if you skipped that step, a Pilot is essential to test the application of AI in a real-world business environment. But not all Pilots succeed. Some fail miserably! This chapter will look at the reasons for both.

Chapter 3 – AI & My Vendors: this chapters provides questions to ask, documentation to collect, to determine if the solution you’re investigating is really AI. It continues with:

• Due Diligence questions
• Contract issues to consider
• AI Model Testing & Validation
• Benefits & Risks
• Performance and Scalability issues
• Hidden costs

Chapter 4 – AI Agents and Agentic AI: Agentic AI is a true game-changer that is affecting life as we know it. This chapter covers:

• Definitions
• Examples and Comparisons
• Agentic AI Architecture
• Benefits and risks of AI Agents and Agentic AI

Chapter 5 – Governance: Where would we be without Governance? Without tone from the top, it’s difficult for any program to succeed. This chapter covers:

• Governance Defined
• AI Governance Components and Principles
• AI Model Governance Components and Principles
• AI Policy Components

Chapter 6 – AI Risk Management Frameworks: This chapter dives into ISO 42001, NIST AI Risk Management Framework and the EU AI Act Risk Management Framework and examines the concepts, principles, similarities and differences. AI Risk differs from Traditional risk and requires frameworks that address not only the traditional exposures but those pertaining to the following:

• Ethical use of AI
• Potential harm to individuals and society
• Bias
• Fairness
• Transparency

Chapter 7 – Regulations: This chapter covers several country and state regulations and proposed legislation. While the European passed the EU AI Act, there are other countries that are addressing AI through bits and pieces of existing regulations. Some countries have no regulations at all and are in the process of reviewing proposed regulations. The United States does not yet have a Federal regulation equivalent to the EU’s and individual states are developing their own.