AI Systems Due Diligence: An Interview Between Consultant and Client

 

Most businesses don’t know what to ask or expect as answers from their AI systems due diligence consultants. Here is a sample interview to help you …

Client (Chief Operations Officer): Thanks for meeting with me today. We’re interested in understanding the process of due diligence systems in AI. Can you explain why it’s so critical for businesses like ours?

Consultant (AI Specialist): Absolutely. Systemic due diligence for AI is essential because it ensures that your AI initiatives align with your business goals while addressing potential risks. Without proper due diligence, you might deploy a model that doesn’t perform well under real-world conditions, or worse, one that introduces compliance or ethical issues.

 

Client: Interesting. Let’s say we’re planning to use AI for supply chain optimisation. What would the due diligence process involve in that context?

Consultant: First, we’d assess the data you plan to use. Quality data is the foundation of effective AI systems. We’d check for consistency, completeness, and relevance. Additionally, we’d evaluate if your data pipelines are secure and scalable. These are all critical steps in AI systems due diligence. For supply chain optimisation specifically, we’d also consider how external factors, like market trends or geopolitical shifts, are integrated into the model.

 

Client: That makes sense. How do you evaluate the AI models themselves? Are there specific benchmarks you use?

Consultant: Yes, there are several key performance indicators we review, such as accuracy, precision, and recall. But for due diligence of AI systems, we go beyond performance metrics. We look at explainability, ensuring stakeholders understand how the AI makes decisions. Scalability is another critical factor—can the system handle increased data loads as your business grows? Finally, we assess robustness—how well the system adapts to changes in input data.

 

Client: What about compliance? Our industry is heavily regulated. How does that factor into the process?

Consultant: Compliance is a cornerstone of due diligence of AI systems. We ensure that your AI aligns with all relevant regulations, such as GDPR or sector-specific guidelines. This includes evaluating how your AI handles data privacy, consent, and security. For highly regulated industries, we also examine audit trails to confirm the AI’s decision-making process can be traced and justified.

 

Client: You’ve mentioned risks a few times. Could you give an example of a risk you’ve uncovered during due diligence?

Consultant: Certainly. In one case, a client’s AI model showed a high risk of bias. It was trained on historical data that reflected outdated hiring practices, leading to discriminatory outcomes. During our AI systems due diligence, we flagged this issue and worked with them to retrain the model using a more diverse dataset. This not only improved fairness but also protected them from potential legal and reputational damage.

 

Client: Bias is a concern for us as well. How do you proactively address it during due diligence?

Consultant: We use bias detection tools to analyse training data and model outputs. Additionally, we implement fairness constraints within the model itself. Part of due diligence for AI systems is also about fostering transparency. This ensures that if bias does occur, it’s easier to identify and correct.

 

Client: One last question. How do we measure the success of AI systems due diligence?

Consultant: Success is measured by the system’s ability to deliver accurate, fair, and actionable results while staying compliant with regulations. A well-executed due diligence process ensures that your AI provides tangible business value and mitigates risks. It’s a safeguard for both innovation and accountability.

 

Client: Thanks for the insights. I’m convinced that due diligence for AI systems is not just an option—it’s a necessity.

Consultant: You’re welcome. It’s always better to address potential issues upfront than to face challenges later. Let’s get started!