Mining Services

Your team uses AI to write tenders, analyse contracts, and report on operations. Do you know what client data they're sharing?

Estimators paste tender schedules into ChatGPT, project managers summarise client reports with Claude, and BD teams draft proposals with Gemini. Vireo Sentinel shows you what's happening and catches confidential operational information before it reaches external systems.

What's actually happening

Tender response

An estimator pastes the full scope of work and pricing schedule into ChatGPT to help structure a tender response. Client site names, production targets, mobilisation costs, and competitive rates now sit on OpenAI's servers.

Monthly operational report

A project manager copies the complete monthly report into Claude to draft the executive summary. Production figures, equipment utilisation, and safety incidents. The client's operational picture on a third-party service.

Contract review

A commercial manager drops a 40-page mining services agreement into Gemini to summarise key terms. Payment schedules, performance guarantees, termination clauses, and liability caps exposed.

Your clients' operational data is their competitive advantage. Protecting it is yours.

Mining services companies handle information that's often more commercially sensitive than their own. Tender pricing, site operations, and production forecasts all flow through your team.

78%
of employees use AI not provided by their employer
WalkMe, 2025
8.5%
of AI prompts include sensitive or confidential content
Harmonic Security, 2025
60%
say using unsanctioned AI is worth the risk to meet deadlines
BlackFog, 2026

See what your team shares with AI

One leaked tender schedule costs more than a year of governance.

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The data at risk across your contracts

Mining services companies are custodians of operational information that belongs to their principals. Here's what flows into AI systems unchecked.

Tender and pricing data

Scope of work documents, rate schedules, mobilisation costs, equipment pricing, subcontractor quotes, competitive bid information.

Client operational data

Production volumes, strip ratios, ore grades, equipment utilisation rates, downtime records, mine plans.

Safety and compliance records

Incident reports, near-miss data, safety statistics, environmental monitoring, compliance audit findings.

Commercial and contractual

Contract terms, payment schedules, performance guarantees, variation claims, dispute correspondence, settlement figures.

Workforce data

Employee and subcontractor details, roster patterns, training records, medical clearances, site induction information.

Strategic and financial

Order book values, pipeline forecasts, fleet utilisation rates, capital expenditure plans, acquisition targets.

Your client contracts already require this

Mining services companies don't just face their own regulatory obligations. Confidentiality clauses in services agreements create contractual exposure that goes beyond compliance.

Corporations Act, Work Health and Safety, and Privacy Act

Client confidentiality obligations (contractual)

In effect now

Most mining services agreements include strict confidentiality clauses covering operational data, commercial terms, and site information. Sharing this with third-party AI platforms is a potential breach of contract, regardless of intent.

ASX continuous disclosure (for listed contractors)

In effect now

Listed mining services companies must manage inside information including order book values, major contract wins, and earnings guidance. Processing this through AI before market release creates disclosure risk.

Privacy Act 1988 (POLA Act 2024)

Statutory tort from 10 June 2025

Applies to personal records of employees, subcontractors, and client personnel. Individuals can sue for damages capped at $478,550. OAIC enforcement priorities for 2025-26 explicitly include AI-related privacy practices.

WHS Act reporting obligations

In effect now

Work health and safety legislation requires accurate incident reporting. If safety records processed through AI are compromised or inaccurate, the contractor and client face regulatory consequences.

UK GDPR, Health and Safety, and contractual

Client confidentiality (contractual)

In effect now

UK mining services contracts typically include NDA provisions and confidentiality clauses. Sharing client information with AI platforms constitutes disclosure to a third party under most standard contract terms.

UK GDPR and Data Protection Act 2018

In effect now

DPIAs required before deploying new technology processing personal information. Workforce records, health data, and site personnel details all require lawful basis for processing. ICO fines up to 17.5 million GBP or 4% of global turnover.

Health and Safety at Work Act 1974

In effect now

Accurate safety reporting is a legal obligation. Processing safety records through AI that may retain or expose information creates compliance risk for both the contractor and the principal.

ICO enforcement priorities

In effect now

The ICO has highlighted AI as a priority enforcement area. Companies processing large volumes of employee and contractor personal information are higher-risk targets.

EU AI Act and GDPR

GDPR data minimisation

In effect now

Sending employee and client personal details to AI services beyond what's strictly necessary is a data minimisation violation. Fines up to 20 million EUR or 4% of global turnover.

AI Literacy requirements

February 2025

Organisations must ensure staff have sufficient AI literacy. Mining services companies need to show their people understand the risks of sharing operational and personal information with these systems.

EU AI Act high-risk classification

August 2026

AI systems used in employment and worker management contexts are classified as high-risk. Mining services companies using AI to process workforce records face documentation, logging, and oversight requirements.

EU AI Act penalties

August 2026 for high-risk systems

Up to 15 million EUR or 3% of global turnover for non-compliance with high-risk requirements.

MSHA, OSHA, and privacy regulations

Mine Safety and Health Administration (MSHA)

In effect now

Accurate safety reporting is a federal requirement. Processing incident records through AI that may compromise accuracy or confidentiality creates regulatory exposure.

Contractual confidentiality

In effect now

Mining services contracts across North America include detailed confidentiality provisions. Client operational figures, production data, and commercial terms are typically covered. AI usage isn't an exception.

State and provincial privacy laws

Varies by jurisdiction

California CCPA/CPRA, Colorado AI Act (effective June 2026), and Canadian PIPEDA create additional obligations for employee and contractor personal information.

SEC reporting (for listed contractors)

In effect now

Listed mining services companies face material information disclosure requirements. Contract values, order book changes, and earnings-related figures processed through AI before market release create disclosure risk.

How Vireo Sentinel helps mining services companies

See what's happening

Which platforms your people use, how often, and what type of work goes in. Spot the estimator running tender pricing through ChatGPT before your client finds out.

Catch operational data before it leaves

Real-time detection of site names, production figures, pricing schedules, and personal identifiers. Warns the user and gives them options: cancel, redact, edit, or override with a documented justification.

Prove governance works

Compliance reports with audit trails. When a client asks about your information handling or you're responding to a tender that requires evidence of security controls, show them something concrete.

What this looks like in practice

The tender response

An estimator pastes the full scope of work and draft pricing into ChatGPT to structure the response. The extension detects client site names, production targets, and rate schedules. The estimator chooses to redact client references and proceeds with a cleaner prompt.

Monthly report summary

The complete monthly operational report goes into Claude for executive summary drafting. Vireo catches production figures, equipment IDs, safety statistics, and client personnel names. Every interaction is logged.

Contract negotiation prep

A marked-up services agreement lands in Gemini for a quick summary of key changes. Vireo flags payment terms, performance guarantees, and liability caps. Override justifications are recorded.

The BD team's shortcut

Internal pipeline figures pasted alongside a competitor's public announcement for comparison. Vireo catches order book values and contract amounts that haven't been disclosed to the market.

Built for mining services companies

Warns, doesn't block

Project teams keep delivering. Choices, not roadblocks.

Deploys in minutes

A browser extension. No agents, no network changes, no IT overhead.

Privacy by design

Sensitive content detected and handled in the browser, before it reaches our servers.

Affordable

Enterprise-grade oversight without the enterprise contract. Built for companies that measure margins in dollars per BCM, not IT headcount.

Explainable detection

Rules-based detection, not a black box. When a client audit asks how it works, you can give them a straight answer.

See how your team uses AI

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Vireo Sentinel supports your compliance efforts but does not provide legal advice. You remain responsible for your organisation's compliance obligations.