Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

I have worked as a geologist for more than 15 years, focusing on underground narrow-vein gold systems, resource development, and production geology. I hold an MSc in Exploration Geology and a Diploma in Project Management. My background includes brownfield resource expansion, infill drilling strategies, grade control, and 3D geological modeling with Datamine, Deswik, Geotic, and Surpac. I have led down-plunge exploration projects and collaborated with technical services to connect exploration results with mine planning and production needs.

Q2. From a capital allocation perspective, do companies get a better "Value for Money" in drilling deeper at Brownfield sites or stepping out into new Greenfield targets?

From a capital efficiency standpoint, deeper drilling at brownfield sites generally delivers superior risk-adjusted returns. Leveraging existing infrastructure, well-understood geology, and proven metallurgy reduces uncertainty and significantly lowers capital expenditure.

Greenfield exploration can create big value, but it comes with much higher risks in geology, permitting, and timelines. In most cases, careful brownfield drilling gives more reliable value for each exploration dollar spent.

Q3. In your experience, what is the typical conversion rate of Inferred to Indicated resources? For a financial analyst, how much of a "valuation haircut" should be applied to Inferred ounces in a narrow-vein high-grade deposit?

Conversion rates depend on the type of deposit and how closely it is drilled, but in narrow-vein high-grade systems, it is common to see 40 to 70 percent of Inferred resources convert to Indicated once the right infill spacing is reached.

When valuing a project, inferred resources warrant a substantial discount due to limited geological continuity and low confidence levels. In narrow-vein deposits, I typically attribute between 0 and 50 percent of in-situ value to inferred ounces, depending on factors such as geological continuity, structural predictability, and reconciliation track record. In fact, many production-based valuations exclude inferred resources entirely until they are upgraded to a higher confidence category.

Q4. How are resource development strategies aligned with the goal of "zero-incident" work environments, specifically regarding ground stability and geotechnical risk modeling?

Today, resource development brings geotechnical modeling into drilling and design from the start. Structural interpretation, stress modeling, and ground classification all help shape stope design, sequencing, and support standards. To maintain a zero-incident culture, resource growth should not outpace geotechnical understanding. Ground stability models and risk mapping need to keep up with resource expansion to avoid creating mineable shapes that are unsafe to operate.

Q5. Are companies in the mining industry leveraging Physics-Based AI or Machine Learning for grade shell optimization, and has this noticeably compressed the "Data-to-Decision" timeline?

Yes, companies are increasingly using machine learning and physics-based modeling for domaining, grade estimation, and scenario testing. Adoption depends on how advanced the company is, but these tools are speeding up the data-to-decision process by making model updates faster and improving how uncertainty is shown. Still, expert geological oversight is essential. AI can help, but it does not replace geological judgment.

Q6. In your experience, what is the biggest recurring hurdle in closing the F2 gap?

The biggest ongoing challenge is the loss of confidence between geological modeling and putting plans into action. Problems like mismatched drill spacing, weak sampling QA/QC, and short-term reconciliation issues often slow down conversion and reduce trust. Getting exploration, geotechnical, and production teams working together early is crucial to closing that gap.

Q7. If you were an investor looking at companies within the space, what critical question would you pose to their senior management?

My key question would be:

How resilient is your geological model when subjected to downside stress testing, and in what ways does reconciliation performance substantiate your underlying resource confidence assumptions?

Ultimately, consistent reconciliation carries greater weight than headline ounces in driving long-term value.