Where theory meets execution

How SAS-AM rebaselined 12,000 asset records across GeelongPort's estate in two months, standardising nomenclature and connecting condition data directly to Maximo via Unique Element Identifiers.

A one day, evidence led workshop that took a leadership team from a crowded AI conversation to a ranked top three, each owned and dated, plus a live prototype of their first choice.

SAS-AM developed an automated works planning tool for Yarra Trams that transforms IBM Maximo PM rule data into three-year forward maintenance forecasts. The solution replaced a manual process that consumed 4–6 weeks of senior planner time annually, delivering complete fleet-wide forecasts in hours with improved accuracy and resource visibility.

SAS-AM delivered a comprehensive four-phase programme to define Westernport Water's future asset information and works management system requirements. From stakeholder mapping and user assessments through to future state definition and market evaluation, we provided WPW with the evidence base and implementation roadmap needed to replace outdated software with a modern, integrated platform.

SAS-AM conducted an Asset Management Accountability Framework (AMAF) maturity assessment for Westernport Water, a Victorian regional water corporation serving 20,000 people in the Bass Coast region. The assessment identified three strategic improvement opportunities to uplift asset management system effectiveness, reduce administrative burden, and strengthen alignment between customer commitments and asset performance.

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