Case Study
Australia’s largest container and general cargo port, managing critical port infrastructure and marine access while enabling complex cargo operations across privately operated terminals, is pivoting toward an AI-enabled operating model to strengthen safety, resilience, and long horizon infrastructure planning. Although certain AI initiatives are already in motion, these efforts remain sporadic and disconnected, resulting in inconsistent adoption and limited realisation of enterprise-wide value. To unify and accelerate its AI transformation, the organisation partnered with Infosys.
Infosys’ deep expertise and experience, bolstered by Infosys Cobalt—a suite of cloud-first offerings, and Infosys Topaz—an AI-first set of services, positioned it as the partner of choice to support this transformation. The Infosys Microsoft Practice delivered a four-week, high-impact AI Strategy and Planning engagement that combined business consulting with a technical assessment. The outcome was a clear, prioritised AI roadmap aligned to the organisation’s data maturity, operational realities, and strategic aspirations, creating a practical foundation for scalable AI adoption and measurable business impact.
Key Challenges
- Fragmented data and quality gaps across systems requiring manual clean-up and reconciliation.
- Inconsistent processes and documentation gaps across workflows resulting in reduced downstream modelling accuracy.
- Lack of cross-functional alignment due to limited SME bandwidth across stakeholder teams.
- Limited Copilot governance readiness, requiring guardrails, data access protocols, and change management.
- Lack of roadmap, data foundations, and governance-first thinking constrained scalable AI adoption.
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Talk To ExpertsInfosys Approach
- Applied a structured methodology built on the Infosys Enterprise AI Pathfinder offering, supported by the Infosys SORT Framework, to guide strategy development and roadmap definition.
- Assessed the client’s current business process and technology landscape to identify AI opportunities and evaluate enterprise readiness across the Asset Management function and the Microsoft 365 ecosystem.
- Performed a technical assessment spanning Microsoft 365 data readiness, governance framework requirements, and solution design review of the Safety and Reporting Solution.
- Decomposed the business processes, analysed them along key productivity and intelligence factors, and prioritised AI opportunity areas within Asset Management based on value/complexity dimensions.
The Solution
- Performed an end-to-end assessment across business and IT, to identify high-value AI interventions, and align them to NOW‑NEAR‑NEXT horizons.
- Brought together insights from inspections, risk, compliance, maintenance, and capital workflows to develop an actionable AI blueprint aligned to the organisation’s operational realities.
- Conducted a technical readiness and governance analysis for Microsoft 365 Copilot, ensuring secure adoption through data governance, permissioning, and Microsoft 365 guardrail evaluation.
- Provided consulting for the Safety and Reporting Solution, strengthening its feasibility and architecture to support improved compliance and reporting outcomes.
- Applied a structured methodology, backed by the Infosys SORT Framework and a repeatable Asset Management discovery model that accelerated insight generation and reduced SME burden.
Business Outcomes
The AI assessment revealed opportunities across 7 core Asset Management processes, where AI can meaningfully lower manual workload, accelerate decision cycles, and elevate governance maturity.
Identified approximately 35+ high-value AI interventions in the Enterprise Asset Management function across strategy, inspections, maintenance, renewals, and capital planning, and aligned them to NOW-NEAR-NEXT horizons.
A structured 30-60-90-day plan for adoption, integration, and value realisation.
Strategic decision-making was accelerated through AI-enabled scenario modelling, lifecycle narratives, and funding optimisation tools.
Establishment of a secure, scalable, and well governed analytics platform.
Benefits
Immediate productivity uplift potential through Copilot-driven drafting, summarisation, and evidence-pack automation.
Improved data reliability and modelling confidence through AI-enabled ingestion, anomaly detection, and asset register enhancement.
Future-ready design for streamlined and automated safety data management and reporting solution.
Secure, well governed Microsoft 365 environment with strengthened information protection and enhanced data readiness.
Actionable guidance on maintaining a strong Microsoft 365 security and governance posture by enforcing information protection policies and proactively improving data readiness across high value workloads.
A clear AI roadmap has established the basis for enterprise-wide transformation, with the next phase focused on turning strategy into action. This includes building tenant readiness and rolling out Copilot across business units, while designing and implementing Microsoft Fabric to strengthen data foundations. It also encompasses the development of Microsoft Copilot Studio agents for inspections, risk, renewals, and capital planning, alongside an uplift in AI strategy and governance supported by a Steering Committee, and an AI Centre of Enablement.
