Mining AI use cases
Where mining knowledge turns into money.
The value in your documents is locked in clauses nobody re-reads, testwork nobody connected to the mine plan and conditions nobody owns. QMAI's agents find it, cite it and put it in front of the person accountable for acting on it.
01 · Project visibility and decisions
See the whole mining project clearly. Decide faster.
Each discipline sees its own part of the project, and leaders get a summary weeks after the fact. Decisions wait for someone to pull the picture together, and when they are made, the reasoning is rarely recorded.
- One current view of the project across geology, mining, metallurgy, environment and commercial, built from shared, source-linked records
- Shows what changed since the last review, which assumptions moved and which risks and gaps are still open
- Drafts board and steering-committee papers in hours, with source references for review
- The Decision Room records each decision with its evidence, rationale and follow-up actions
What the industry finds
Major mining projects run about 25% late on average, and organisational problems feature in 65% of projects with frequent delays and overruns.
McKinsey & Company, 2024 · source
02 · Contracts
Mining contract and invoice reviews that recover millions.
Mining contracts run to hundreds of pages of rates, quantities, escalation and penalty clauses. Overcharges and missed rebates sit in plain sight because nobody has time to check every invoice against every clause.
- Reconciles contractor invoices against rates schedules, quantities and escalation clauses
- Flags overcharges, unapplied rebates and expiring rights, each linked to the clause that supports it
- Tracks obligations, notice periods and renewal dates so nothing lapses by default
Client result
QMAI reviewed a client's contract against its invoices and found a number of discrepancies, saving the client more than $1 million.
03 · R&D claims
R&D Tax Incentive claims you understand and can defend.
Process trials, novel flowsheets and new mining methods can qualify for the R&D Tax Incentive. The claim stands or falls on records made at the time, which are usually scattered across testwork reports, emails and trial notes.
- Finds eligible experimental work buried in testwork, trial and study reports
- Links each claimed activity to its hypothesis, experiment, results and dates, with citations
- Shows your finance team and adviser what is claimable, what is not and where the evidence is thin
- Keeps the evidence trail ready if the claim is ever reviewed
04 · Metallurgical testwork
Metallurgical testwork gaps found before they become overruns.
Recovery and throughput assumptions drive project value, yet testwork is often planned in isolation from the resource model and the mine plan. Gaps surface at commissioning, when they are most expensive to fix.
- Maps every test to the ore domains and production years it represents
- Highlights domains with too few variability samples and recovery assumptions with no test behind them
- Recommends where the next testwork dollar reduces the most uncertainty
- Connects to MetConnect specialists to design and review the program
What the industry finds
About two-thirds of mining project overruns trace to poor initial assessment, including skipped metallurgical testwork.
McKinsey & Company, 2024 · source
05 · Environmental compliance
Every environmental approval condition tracked, owned and evidenced.
A single operation can carry hundreds of conditions across Commonwealth and state approvals. A missed condition puts the licence to operate at risk, and approvals for the next project depend on your record.
- Extracts conditions from EPBC approvals, Ministerial Statements, EAs and PEPRs, each with its clause citation
- Assigns each condition an owner, a due date and the evidence that shows it was met
- Flags monitoring results that approach licence limits, before they are exceeded
- Maps regulatory changes to the specific conditions and tenements they affect
06 · Mine to market
Mine to market: find the bottleneck from pit to port.
Every tonne passes through mining, haulage, processing, logistics and sales. The chain only moves as fast as its slowest step, yet improvement programs often optimise one step while value leaks at the next.
- Mine
- Haul
- Process
- Rail and port
- Market
- Maps the full chain from mine to market, or a single operating area, from your production, equipment and logistics records
- Shows utilisation at every step and identifies the binding constraint
- Separates value-adding time from waiting, rework and handoffs
- Ranks improvement opportunities by potential gain, through a throughput, cost, availability or waste lens
- Rolls each gain up through value driver trees to EBITDA and enterprise value, and tracks whether it is realised
- Links findings to the records behind them
Proven on your own numbers
A 10-day Knowledge Health Check starts with the one or two value areas that matter most to you.
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01
Pick the value areas
Project visibility, contracts, R&D, testwork, environment or mine to market.
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02
Agree the measure
Decision time saved, dollars identified, conditions tracked, gaps found or claims evidenced.
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03
Run it on your documents
10 days, with your team, on your own contracts, reports and records.
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04
Report the result
Findings linked to their sources, so your board can check them.
Find the value in your own documents
Start with a 10-day Knowledge Health Check on the value area that matters most to you.