Source & legitimacy
Counterparty, mine or concession, authority, location, origin evidence and any gaps requiring further verification.
Technical due diligence
A robust decision
integrates source,
geology, metallurgy,
processing, product
and market.
We use due diligence to test whether the technical story holds together. Our role is to connect source, geology, sampling, metallurgy, processing, product and market assumptions and identify inconsistencies before they become expensive problems.
Integrated framework
Six dimensions that should close together.
We connect these six dimensions because a material weakness in source or data can invalidate the metallurgical and commercial conclusions built on it.
Geology & sampling
Geological model, mineralization, continuity, sampling method, representativeness, laboratory and QA/QC.
Metallurgy
Mineralogy, liberation, tests, recoveries, mass pull, reagents, impurities and sample representativeness.
Process & capacity
Flowsheet, equipment, capacity, availability, bottlenecks, water, power, balances and operating controls.
Product & market
Specification, variability, payables, penalties, moisture, packing, buyer and delivery point.
Traceability & reconciliation
Link from source and dispatch to receiving lot, batch, blend, product, export, assay and settlement.
Decision-ready
Turn findings into decisions.
We turn each finding into a decision point: what is the evidence, what is the impact, what remains uncertain and what action is required?
| Area | Question | Evidence sought |
|---|---|---|
| Source | Who is offering the material and where does it come from? | Identity, authority and origin sufficiently verified |
| Data | Do the sample and assays represent what is being purchased or processed? | Sample traceability, method, QA/QC and representativeness |
| Process | Are recovery and capacity supported by tests or operating data? | Balances and reproducible evidence |
| Product | Does the concentrate or product meet a plausible commercial specification? | Assay, variability, moisture and impurities |
| Economics | Do technical assumptions feed tonnes, recovery, payables and costs correctly? | Model based on traceable variables |
| Execution | Can material movement and approval points be reconstructed? | Lot, dispatch, processing, packing and export records |
Output
Expected output.
What we want at the end is not a generic risk list. We want a prioritized view of what is proven, what is not proven and what must happen before the opportunity proceeds.
- Verified facts separated from assumptions.
- Data gaps prioritized by decision impact.
- Additional tests, visit, sampling or documents clearly defined.
- Technical and commercial risks linked to controls or conditions.
- Sufficient traceability to connect source, sample, lot and product.