Knowledge stays in people's heads and folders
Technical history and project decisions get lost across long cycles.
Signal: Manual searches, duplicate documents and dependence on senior consultants.
AI applied to mining
Reduce hidden work and make mining decisions traceable.
Reduce the cost of finding information and repeating analyses in a capital-intensive operation. Magical connects engineering, procurement, legal and field knowledge to support decisions while technical responsibility remains with specialists.
Magical Applied AI consulting for Mining Brazil
Evidence
Costs and productivity were the leading industry risk in the 2025 Brazilian assessment.
Source: IBRAMOperational workflow
01 / Mining
- PlanningDecisions mix facts and assumptions
- ProcurementBack-office work grows with the mine
- Extraction
- Processing
- ComplianceKnowledge stays in people's heads and folders
Where operations lose margin
Back-office work grows with the mine
Procurement, invoices, contracts and regulatory obligations scale before revenue.
Signal: Manual checks and ERP systems that lack process context.
Decisions mix facts and assumptions
Market, geology, operations and hypotheses arrive without shared provenance.
Signal: Decision materials are difficult to audit and update.
Where we start
Technical knowledge
Organize historical records, reports, benchmarks and sources for traceable access.
What we assess at the start: Taxonomy and permissions by department.
Procurement and tax
Check orders, invoices, suppliers and rules before closing.
What we assess at the start: Controlled access to the ERP or its exports.
Contracts and permit conditions
Extract obligations, deadlines and evidence while preserving legal and environmental validation.
What we assess at the start: Versioned documents and assigned owners.
Maintenance and production
Consolidate shift records, work orders and history to prioritize action and explain deviations.
What we assess at the start: Consistent identification of assets and periods.
Decision support
Separate sources, signals, counterarguments and hypotheses in recurring analyses.
What we assess at the start: Confidence criteria and expert review.
Related experience
Projeto em destaque · Mining and agriculture
SJK Capital
Training and initial assessment
Leaders better prepared to assess improvements using their own operational context.
internal decisions
Other related projects
How we turn an opportunity into results
01
Understand the operation
We interview decision-makers and operators to map processes, data, exceptions and costs before suggesting tools.
02
Choose where to start
We prioritize an opportunity by expected return, feasibility and risk. We agree on responsibilities and how to measure results before starting.
03
Put it to work
We implement, monitor real usage and measure process changes before expanding the portfolio.
Governance from the first workflow
- We agree with your team how data, access and solutions will be managed during and after the project.
- Sensitive workflows retain approval levels, human review and evidence records.
- We measure the current process and agree on success indicators. Estimated gains are kept separate from observed results.
Frequently asked questions
Does AI make geological or investment decisions?
No. It organizes evidence, updates context and presents counterarguments; technical and capital decisions remain with the responsible professionals.
Can you work with confidential information?
Yes, with architecture, permissions and sources defined before ingestion. The design keeps personal, corporate and public contexts separate.
How do you choose the first project in a complex operation?
We start with a recurring workflow that affects cost or capacity, has accessible data and an owner. The first project must fit the team’s ability to support it.