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    Mid-tier miners rethink HR and payroll: cloud integration lessons for project teams

    August 6, 2026|

    Reviewed by Joe Ashwell

    Mid-tier miners rethink HR and payroll: cloud integration lessons for project teams

    First reported on Australian Mining

    30 Second Briefing

    Mid-tier Australian miners are reassessing legacy HR and payroll platforms as rapid site expansions, complex award interpretations and FIFO rostering strain systems originally built for smaller workforces. Workday ANZ senior regional sales director Matt Lovell points to operators running multiple payroll engines, manual allowance calculations and fragmented time-and-attendance data across open-pit and underground sites as key pain points. Interest is growing in cloud-based platforms already deployed on several Australian mine sites that can centralise roster management, automate compliance with enterprise agreements and support faster onboarding during production ramp-ups.

    Technical Brief

    • Workday’s cloud HR platform is already deployed across multiple Australian mine sites of varying scale.

    Our Take

    Workday’s push into AI-native tools like Workday Learning (via Sana) in our recent coverage suggests that any HR and payroll refresh for ANZ mid-tier miners will likely be bundled with skills, training and competency management rather than being a pure payroll swap-out.

    Genesis Energy’s go-live on Workday’s enterprise AI platform in New Zealand shows that complex, asset-heavy operators in the ANZ region are already using the same stack to unify workforce and finance data, which gives miners a nearby reference case for change management and integration risk.

    Across the 1283 Mining stories in our database, relatively few product-tagged pieces focus on back-office platforms, so Workday’s visibility via Australian Mining signals that HRIS/ERP choices are becoming part of mainstream project execution and productivity conversations rather than an internal IT issue.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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