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DISHA 4.0 HCOS
An engineer in safety gear standing in an illuminated underground mine tunnel

INDUSTRIES → MINING

Intelligence for the People Behind the Mine.

Mine plans, operating conditions, automation and rosters change constantly — the qualified people who carry them are harder to replace than any machine. DISHA connects mine plans to capability, certification and deployment across every site.

How can mining companies align scarce technical capability, safety-critical qualifications, automation skills and workforce mobility with changing mine plans and operating conditions?

Illustrative industry view — synthetic scenarios and examples until connected to your validated production data.
All industries →

Pain-Point → DISHA Solution Map

Select a pain point: root cause, DISHA intervention, workflow, data inputs and the measurable outcome open beneath.

Root cause

Specialists are few, sites are far, and every vacancy hurts production

DISHA intervention

Site-aware capability intelligence linked to mine plans

How it works

Mine plan → critical occupations → site supply → redeployment options

Data inputs

Site rosters, qualification records, mine plans (governed)

Measurable outcome

Specialist coverage visible and plannable across sites (illustrative)

Industry Methodology

The mine plan sets demand — the methodology keeps qualification, rostering and development ahead of it.

Mine planOperating tasksCritical occupations/skillsSite supplyQualification/readinessRoster/deployOperateLearn

The universal loop — the same in every industry

DiscoverModelDiagnosePrioritizeInterveneMeasureLearn

The universal loop runs continuously — every shift's lessons feed the next plan.

Mine Workforce Operations Grid

Select the operation — critical skills by site, certification readiness and coverage re-compute on synthetic data.

Operation

Operations grid — Open-pit expansion

Critical skills by site

Haul-truck operators · drill crews · blast specialists

Certification & readiness

Certification currency: 87% of safety-critical roles current

Coverage (illustrative)

71%

Bottleneck

Blast specialists — one crew serves two pits

Deployment options

  • 1. Cross-site redeployment (4)
  • 2. Certification bridging (6)
  • 3. Contractor crew with evidence check

Illustrative scenario — synthetic data. Safety-critical assignments remain under qualified human authority; workforce intelligence is separated from operational-technology (OT) control systems.

A worker in blue overalls operating an ore processing table

WHY DISHA HERE

Site-Aware Readiness — From Mine Plan to Roster

DISHA's value in Mining is the link between mine plans and people: critical skills mapped by site, certification and readiness inspected before deployment, and automation transitions planned for the crews who live them.

See Workforce Planning

Integration With Your Mining Stack

DISHA overlays your existing systems — OT/control-system access is never assumed and only governed interfaces are used.

HCM/HRIS & workforce managementMine planning/project systemsLMS & competency/certification systemsContractor managementRoster/FIFO/DIDO systemsAsset/maintenance systems (governed interfaces)BI/data lake — OT only where necessary and authorized

Systems of record / operational systems

APIs, events or governed data pipelines

DISHA data & knowledge layer

Intelligence/AI

Existing workflow or DISHA UI

Human decision

Outcome feedback

Adoption Options

Overlay first; embedded intelligence inside existing applications; module-by-module adoption; and a broader end-to-end workforce intelligence layer when the organization is ready.

Overlay

DISHA reads governed data and adds intelligence without replacing the system of record — typical first use: workforce planning / capability mapping

Embedded

DISHA insight appears inside an existing workflow — typical first use: ATS, HCM, WFM, project, operations or training workflow

Module-by-module

Selected DISHA capabilities activated independently — typical first use: skills, readiness, learning, mobility, analytics

Full intelligence layer

Multiple intelligence modules share a common human-capital model — typical first use: enterprise transformation

Full platform

The complete Human Capital Operating System — strategic transformation

Role-Based Value

Mining CEO

Decision: Where does capability risk threaten production targets?

Data: Site capability coverage, succession exposure

DISHA: Evidence → scenario → decision

Outcome: Production risk seen through a people lens

Mine Manager

Decision: Is my site ready for the plan and the automation rollout?

Data: Critical skills by site, certification currency

DISHA: Readiness + reskilling

Outcome: Plans staffed by qualified crews

COO

Decision: How do we redeploy across sites without breaking rules?

Data: Cross-site mobility, roster constraints

DISHA: Deployment scenarios

Outcome: Redeployment that respects every constraint

CHRO

Decision: How do we build capability for the next mine?

Data: Pipeline coverage, learning conversion

DISHA: Planning + pathways

Outcome: Workforce strategy with evidence

Technical Services

Decision: Do surveys, geology and planning hold enough depth?

Data: Specialist depth, dependency risk

DISHA: Succession + development

Outcome: Technical continuity protected

Maintenance/Engineering

Decision: Are maintainers ready for autonomous fleets?

Data: Automation skill coverage

DISHA: Transition mapping + training

Outcome: Fleet uptime with prepared crews

HSE

Decision: Is every safety-critical task assignment evidenced?

Data: Certification currency, audit trail

DISHA: Credentialing + evidence

Outcome: Zero unevidenced critical assignments

Workforce Planning

Decision: What does the next mine plan need from whom?

Data: Demand-supply gaps by site

DISHA: Scenario planning

Outcome: Plans that survive contact with the pit

L&D

Decision: Does training reach the crews who need it, in time?

Data: Site-linked completions

DISHA: Learning pathways

Outcome: Capability delivered where demand lands

Contractor Manager

Decision: Do contractor crews meet the same qualification bar?

Data: Contractor capability views

DISHA: Governed contractor visibility

Outcome: One standard across employees and contractors

Tangible Business Outcomes & Measurement

Every outcome is a measured KPI with a baseline, target, measurement period, data source and owner. Illustrative figures below are placeholders for YOUR data — never promised improvements.

KPIBaseline → Target (illustrative)Period · Source · Owner
Critical-skill coverage by site52% → 78% (illustrative)Quarterly · Site views · Owner: COO
Certification currency (safety-critical)88% → 99% (illustrative)Monthly · Registries · Owner: HSE
Automation-ready crews (cross-trained)30% → 65% (illustrative)Per rollout · Readiness · Owner: Ops+L&D
Cross-site redeployment fill38% → 66% (illustrative)Rolling 2 quarters · Mobility · Owner: CHRO

Illustrative scenario shown in the product demo — real figures come from your connected, validated data with published measurement definitions.

A miner in a hard hat working amidst rocky terrain

THE HUMAN LAYER

The Mine Runs on Certified Hands

Remote sites, safety-critical qualifications and rotating crews — mining work is human before it is geological. Workforce intelligence maps who holds which certification, where they are, and what the next mine plan needs from them.

AI & Agent Architecture

Industry intelligence agent

Mining demand, commodity cycles and operating context

Inputs: Licensed market data, sector corpora

Demand outlooks · Human: strategy approves

Skills/capability agent

Maps mine plans to occupations and certifications by site

Inputs: Skills profiles, certification records (consented)

Capability map · Human: employee confirms

Readiness agent

Explains certification, competency and roster readiness

Inputs: Capability, rosters (permissioned)

Readiness view · Human: manager review

Matching/staffing agent

Finds redeployment, contractor or hiring options per site

Inputs: Capability graph, availability

Options list · Human: site leadership decides

Scenario agent

Compares train, redeploy, contract or hire interventions

Inputs: Scenario configs, workforce model

Compared options · Human: leaders choose

Executive briefing agent

Traceable capability summaries for mine reviews

Inputs: Aggregate insights, provenance

Briefing pack · Human: leaders decide

Governance agent

Enforces scope, evidence and OT boundaries

Inputs: Audit logs, policies

Compliance trail · Human: governance sign-off

Governance, Security & Responsible Intelligence

RBAC, least privilege and tenant/data isolation across sites
Encryption, purpose limitation and data minimization
Location-aware intelligence with explicit permissions — never worker surveillance
Workforce intelligence separated from unrestricted OT/control-system access
Provenance and correction/appeal paths on every output
Retention controls with auditable human oversight
Observed evidence, inference, forecast, scenario and recommendation kept distinct
Synthetic/illustrative demo data unless validated data is connected
No unsupported ROI, certification, regulatory or safety claims

CONCEPT FILM

The People Behind the Mine — Mining

0–15s: A mine plan update meets a certification gap15–45s: Critical skills mapped by site and shift45–80s: Redeploy, train, contract or hire — compared80–110s: Rosters built on readiness, not hope110–120s: Production with qualified people throughout

Plan the mine with its people in it.

Research & Resources

External references for context — attributed to their sources; not proof of DISHA outcomes.

Intelligence for the People Behind the Mine

Run the industry simulation, explore integration architecture, build a discovery brief — or talk to an expert about a technical workshop and API architecture review.