Mining
AI automation agency for mining
We build AI automation for mining companies, including surface and underground mines, aggregates and quarry operations, and contractors that run fleets on site. The work targets the reporting and paperwork around operations: shift reports, fleet maintenance, production reconciliation and MSHA safety records, connected to the fleet management, maintenance and ERP systems you already use.
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Quick answer
How can AI automation help a mining company?
AI automation helps mining companies by building end-of-shift reports from fleet management and dispatch data, reconciling production against plant feed and surveys, turning operator defect reports into SAP or Maximo work orders, and organizing MSHA training and examination records. Supervisors and safety managers review the output, so automation saves compiling time without replacing their judgment.
- End-of-shift reports and defect-to-work-order flows are common first projects
- Abnormal oil analysis results can trigger work requests and planner notes as they arrive
- Automation reads reporting copies of fleet and process data, not control systems
- Safety teams review and submit MSHA reports, with automation tracking gaps and due dates
01
Where mine sites lose supervisor and engineer hours
Mines generate a large amount of data from fleet systems, sensors and shift crews, yet supervisors and engineers still spend much of their week compiling it by hand. The information exists. It is just spread across too many places.
These are the workflows that come up most often:
- End-of-shift reports and pass-downs written from radio logs, notebooks and fleet system screens
- Production reconciliation between dispatch tonnes, plant feed, stockpile surveys and the mine plan
- Equipment defects reported verbally or on paper that need to become maintenance work orders
- Oil analysis results, tire records and component life tracking kept in separate spreadsheets
- Workplace examination records, hazard reports and incident investigations
- MSHA training records under Part 46 or Part 48, and Part 50 injury and employment reporting
02
What we automate for mine operations
On the operations side, we automate shift reporting and production reconciliation. Data from the fleet management system, plant historian and survey files is pulled together at the end of each shift, compared to the plan and turned into a draft report with delays and variances explained. Supervisors review and add context instead of building the report from scratch.
On the maintenance side, operator defect reports and pre-start checklist failures become work orders with the right asset and priority. Oil analysis reports are read as they arrive, and abnormal results trigger a work request and a note to the maintenance planner. Component hours and tire records are tracked so planned replacements show up before a failure.
WHAT WE BUILD
What we automate for mining
Typical automations, each scoped and quoted at a fixed price after a free review.
End-of-shift report
Fleet system, dispatch and historian data are combined at shift end into a draft report with tonnes, delays and variances to plan.
Production reconciliation
Dispatch tonnes, plant feed and stockpile surveys are compared weekly and monthly, with differences listed for the mine engineer to review.
Defect to work order
Operator defect reports and failed pre-start checks become work orders in SAP PM or Maximo with asset, priority and photos attached.
Oil analysis alerts
Oil analysis reports are read as they arrive, and abnormal results create a work request and a note to the maintenance planner.
Component and tire tracking
Component hours and tire records are tracked against life targets, and upcoming replacements are flagged for planning.
Hazard and incident triage
Hazard reports and incident write-ups are categorized, linked to similar past events and assigned follow-up actions with due dates.
MSHA records tracker
Training records and workplace examination logs are checked for gaps and expiring items, with reminders sent to supervisors.
03
AI agents in mining
AI agents are useful for reading and summarizing the documents that pile up on site. An agent can summarize a week of shift reports for the general manager, draft a delay analysis from dispatch codes, read oil analysis and inspection reports, or search maintenance history to show how a recurring fault was fixed last time.
In safety, an agent can read hazard reports and incident write-ups, suggest categories and likely causes, and point out repeat issues by area, equipment or crew. The safety manager still leads investigations and decides on corrective actions. The agent helps keep the records consistent and makes trends easier to spot.
04
Mining software we connect
Fleet management data typically comes from Caterpillar MineStar, Komatsu's Modular Mining DISPATCH, Hexagon or Wenco. Underground operations may use Micromine Pitram for production and activity tracking. Mine planning teams work in Deswik or Maptek Vulcan, and process data often sits in AVEVA PI.
Maintenance and finance usually run in SAP S/4HANA with SAP Plant Maintenance, IBM Maximo, Oracle JD Edwards or Pronto Xi. Safety records may live in Intelex, Cority or a custom system. Around those we connect SharePoint, Microsoft 365 and Power BI. Integrations use supported APIs or exports, with SSO and role-based access, and go through your IT security review.
05
MSHA, safety and site constraints
MSHA requirements shape how mines keep records, from workplace examinations and training records to Part 50 reports of accidents, injuries and illnesses. Automation can collect and organize that information, check for missing fields and remind people of due dates. Your safety team reviews and submits every report. This describes our approach and is not legal or compliance advice.
Site realities matter too. Many mines have limited connectivity, so workflows are built to handle delayed uploads from the pit or underground. We read from reporting copies of fleet and process data rather than control systems, and keep audit trails of every automated change.
06
How a mining automation project works
We begin with a free review with the people who own the work, such as a mine superintendent, maintenance planner or safety manager. We look at the actual reports, spreadsheets and system screens, confirm what data your systems expose, and return a fixed-price scope.
Delivery is staged, often starting with the end-of-shift report or defect-to-work-order flow because the time saved is easy to see. The new workflow runs alongside the existing process until supervisors trust it. You own the accounts, workflows and code.
07
What mining automation costs
Projects are quoted at a fixed price after the free review. A single workflow, such as shift reporting or oil analysis alerts, typically takes 2 to 4 weeks. A broader project covering production reconciliation, maintenance and safety dashboards typically takes 6 to 8 weeks.
Cost depends on how many systems are involved, data access from your fleet management vendor, and how many sites are in scope.
TOOLS
Tools we connect
FAQ
AI automation for Mining questions
How is AI used in the mining industry?
Besides autonomous haulage at large mines, the most practical uses are in reporting and paperwork: shift reports, production reconciliation, maintenance work orders and safety records. AI compiles and checks the data, and supervisors review it.
Can you automate shift reports from MineStar or DISPATCH?
Usually, yes, depending on how your fleet management vendor exposes data. Many sites have database access or scheduled exports we can use. We confirm this in the free review.
Can AI help with MSHA reporting?
AI can organize the records behind MSHA reporting, check for missing information and track due dates for training and examinations. Your safety team reviews and submits every report.
Does automation work with poor site connectivity?
Yes. Workflows are designed to accept delayed uploads from the pit or underground and process them when data arrives, so reports stay complete.
Is this only for large mining companies?
No. Aggregates, quarries and mid-size mines often benefit quickly because a small team handles operations, maintenance and safety records together.
What does mining automation cost?
We give a fixed quote after a free review. A single workflow typically takes 2 to 4 weeks, and larger staged projects typically take 6 to 8 weeks.
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Describe the process that eats your team's week. We reply within one business day with a first take on what can be automated, which tools fit and roughly what it would cost.
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- Fixed quote before any work starts
- You own every workflow, account and line of code