The Ledger and the Landscape
  • Mali Gold Revenue
  • Mining Tax Consistency
  • MDRIA
  • Gold Export Mispricing
  • Resource Revenue Protection
  • Sahel Mining Taxation

Gold is not simply another export for Mali; it is one of the country's central economic assets. That concentration makes gold revenue especially important to public finances — and raises the stakes when declared production, export values or taxable income do not fully reflect the economic activity taking place at the mine.

01

Gold at the centre of Mali's economy

EITI identifies Mali as Africa's third-largest gold producer and reports that the extractive sector contributes about 79% of exports, 22.3% of government revenues and 9.2% of GDP. That concentration makes Mali gold revenue especially important to public finances. It also raises the stakes when declared production, export values or taxable income do not fully reflect the economic activity taking place at the mine.

79%
of national exports from the sector — EITI
22.3%
of government revenues
9.2%
of GDP from extractives
02

A different question for mining audits

This is where the Multi-Dimensional Revenue Intelligence Algorithm (MDRIA) offers a different approach to mining tax consistency. Conventional audit systems often search for companies whose financial ratios or declarations look unusual. The framework developed in the research paper instead asks whether production, costs, export prices, royalties and shipments are jointly feasible. In other words:

Can all the numbers reported by the taxpayer be true at the same time?

It is an explainable audit-selection framework — not a system for automatically declaring fraud.

03

When the landscape challenges the ledger

Consider an industrial gold mine reporting a particular volume of ore processed and gold produced. Mining leaves a physical footprint. Hauling, crushing, grinding and processing consume electricity, diesel and water in quantities linked to operational activity. MDRIA can compare declared production with independently recorded resource consumption.

Energy & fuel

Electricity and diesel use as an independent check on declared output.

Water use

Process water linked to the true volume of operational activity.

Customs & shipments

Trade and shipment records that matter where mines control meters.

Remote sensing

Satellite proxies for activity when on-site signals weaken.

If reported output falls well below what the mine's energy, fuel and water use would normally suggest, the contradiction becomes a production-consistency signal for auditors to examine.

04

Beyond production: price, cost and export checks

The same logic extends beyond the mine gate. Declared gold sales can be compared with quality- and freight-adjusted market references to identify potential gold export mispricing. Reported operating costs can be checked against appropriate mine-level benchmarks, while royalties can be tested against the applicable statutory base. Production reconciliation can then connect reported output with inventories, shipments and partner-country trade records.

Mali's revenue challenge is not confined to one tax line — a 2022 government audit estimated a mining-revenue shortfall of CFAF 300–600 billion (IMF).

These cross-checks matter precisely because the leakage can span production, pricing, cost and royalty lines at the same time.

05

Why small distortions can become more visible

The framework is particularly interesting when an operator spreads manipulation across several channels. A mine might slightly understate production, slightly reduce its declared export price, modestly inflate costs and keep each individual figure within conventional tolerance.

Figure 01 · Illustrative
Detectability by fraud type when constraint signals are combined (synthetic experiment)
Spread-thin (multi-channel)High
Export mis-pricingMed–Hi
Production under-reportMed
Cost inflationMed
Royalty base understatementLow–Med
Illustrative of the paper's synthetic experiment, where the "spread-thin" strategy became the most detectable fraud type once multiple constraint signals were combined. A simulation result — not evidence of the same performance in Mali; local calibration would be essential.
06

From revenue collection to revenue protection

The practical value lies in connecting information that may currently sit in separate systems: tax filings, mining-production records, customs declarations, market prices, fuel or utility data, royalty payments and company ownership information. Where mines generate their own power or control water records, the paper recommends relying more heavily on independent fuel records, customs data, shipment reconciliation or remote-sensing proxies.

MDRIA helps authorities rank the cases where the ledger conflicts most sharply with the landscape.

Stronger data. Smarter audits. Stronger revenue.

Integrate the evidence

Link tax, production, customs, prices, fuel, royalties and ownership into one explainable view.

Rank, don't rule

Prioritise cases for human audit — MDRIA never replaces auditors or proves a company cheated.

Lean on independent data

Where mines control their own meters, fuel, customs and remote sensing carry more weight.

Protect the resource

An evidence-based form of resource revenue protection for a gold-dependent economy.

Collaboration

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Revenue authorities, mining regulators and development institutions are seeking data-driven approaches to protect extractive revenue and strengthen fiscal transparency. Let's build constraint-based audit intelligence together.

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