Critical Skills & Capability Intelligence: See the Lapse Before It Stops Production
- Maturity
- L3
- Domain
- Grow & Keep
- Analytics
- diagnostic
- Critical-skill & ticket coverage
- 97%
- Sponsor
- Chief Technical Officer
- Confidence
- Moderate
The situation
Where will critical-skill, ticket or statutory-role coverage lapse before it does — by site and qualification, across permanent and contractor workforces — and where is scarce capability under-deployed?
The recommendation on the table
Make ticket and statutory-role coverage foresighted, with renewal and succession lead-time alerts
No foreseeable ticket lapses or statutory-coverage stoppages, and no avoidable stand-downs.
Trade-offRequires a clean, centralised ticket register and disciplined renewal/succession workflows.
The evidence
Production at IronPeak is gated by scarce technical skills, operating tickets and statutory roles (positions that, by mine-safety law, must be filled and qualified for an operation to run), concentrated in an aging cohort and churning through the contractor base — and managed reactively, so gaps are found late. MIN-04 makes capability coverage foresighted: forward ticket and statutory-role coverage, expiry and aging-out exposure, contractor-capability dependency, and ramp capability readiness. It found a foreseeable HV-electrical ticket cluster expiring at a processing site, statutory-supervisor roles with no qualified succession cover, and scarce-ticket capacity aging out with no pipeline.
Critical Skills & Capability Intelligence
Foresighted ticket, statutory-role and capability coverage across permanent and contractor workforces.
| 30d | 90d | 180d | 12mo | |
|---|---|---|---|---|
| Processing-N | 1 | 3 | 2 | 2 |
| Pilbara | 1 | 1 | 2 | 3 |
| Underground-E | 1 | 2 | 2 | 3 |
| Lithium-W | 2 | 2 | 3 | 3 |
Key takeawayRisk intensity (3 = dip). An HV-electrical ticket cluster expires within a quarter at Processing-N.
Key takeawayTwo remote sites have statutory cover but no qualified succession cover (1 = no cover behind incumbent).
Key takeaway~14% of scarce-ticket capacity is aging out within five years with no pipeline.
Key findings
An HV-electrical ticket cluster expires within a quarter at one processing site, and two remote sites have statutory-supervisor coverage but no qualified succession cover — foreseeable gaps the system simply hasn't looked ahead to see.
What we can’t claim
A lithium ramp is headcount-staffable but only ~87% capability-ready, and over a quarter of scarce capability is contractor-backfilled. The inconvenient truth is that readiness, not headcount, runs a ramp — and statutory coverage is binary: a gap does not degrade performance, it can legally halt the operation.
Recommendations
Make ticket and statutory-role coverage foresighted, with renewal and succession lead-time alerts
high priorityNo foreseeable ticket lapses or statutory-coverage stoppages, and no avoidable stand-downs.
Trade-off
Requires a clean, centralised ticket register and disciplined renewal/succession workflows.
Build statutory-succession cover and bring contractor capability into the picture
medium priorityProtected licence to operate and a true picture of scarce-skill dependency.
Trade-off
Statutory succession is slow to grow; contractor-capability data is vendor-held and hard to obtain.
Analytical framework
How we reached this
Diagnostic, deterministic coverage — a foresighted view of critical-skill, ticket and statutory-role coverage and capability readiness across permanent and contractor workforces.
ConfidenceMedium-High
Analytical framework
How we reached this
Diagnostic, deterministic coverage — a foresighted view of critical-skill, ticket and statutory-role coverage and capability readiness across permanent and contractor workforces.
Methods applied
Statistical techniques
Algorithms
Data sources
Outputs generated
Why this confidence
Ticket/statutory/expiry data is hard, factual and compliance-grade; bounded below High only by contractor-capability data gaps and the judgment in qualification requirements. No predictive model is used or implied.
The reasoning
Business context
Protects future operational capability, sponsored by the CTO because capability coverage is a technical and statutory-continuity matter. It owns ticket/certification/statutory-role coverage, skill readiness, capability forecasting and contractor-capability visibility; it does not own workforce supply forecasting (MIN-01).
Expected value
Avoided stand-downs and statutory-coverage stoppages, de-risked ramps, and reduced reliance on premium contractor backfill for scarce skills. Statutory-role coverage is binary: a gap doesn't degrade performance, it can stop production by law.
Workforce landscape
An HV-electrical ticket cluster expires within a quarter at one processing site; two remote sites have statutory-supervisor coverage but no qualified succession cover; ~14% of scarce-ticket capacity is aging out within five years with no pipeline; a lithium ramp is headcount-staffable but ~87% capability-ready.
The analytics journey
Level 3, diagnostic. Ticket and statutory-role coverage are deterministic, factual roll-forwards; statutory mapping is rule-based. No predictive model — transparency over modelling, correct for an obligation-coverage L3 project. 'Capability forecasting' here is deterministic, not ML.
Under the hood
Ticket, licence and statutory-qualification validity windows are rolled forward deterministically to show future coverage by site; expiry-cluster detection surfaces foreseeable gaps; rule-based statutory-role mapping flags any operation at risk of losing its legal licence to run; contractor-capability accounting closes the capability blind spot at the contractor boundary.
Confidence & evidence
Why you can rely on this
The inconvenient truth
A lithium ramp is headcount-staffable but only ~87% capability-ready, and over a quarter of scarce capability is contractor-backfilled. The inconvenient truth is that readiness, not headcount, runs a ramp — and statutory coverage is binary: a gap does not degrade performance, it can legally halt the operation.
Method
Confidence is a deterministic read of KPI strength, target and benchmark coverage across this project — shown on an illustrative reference dataset, computed the same way it would be on live data.
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