IHH Healthcare and Infosys Partner on Multi-Country ERP Overhaul Powered by Generative AI
IHH Healthcare, one of the world's largest private healthcare operators, is overhauling its enterprise systems across multiple countries with help from Infosys. The multi-year transformation will consolidate fragmented finance, procurement, supply chain, and human resources systems into a unified platform starting in Hong Kong, Malaysia, and Singapore.
The partnership centers on Infosys Topaz, a platform built on generative and agentic AI technologies. IHH will embed AI into core business workflows to improve decision-making and operational efficiency.
What the Transformation Covers
Infosys will integrate critical business functions that currently operate in silos across IHH's 10-country footprint. The work includes consolidating legacy ERP systems, establishing real-time data visibility, and building decision intelligence capabilities.
The unified platform will give IHH teams faster access to data across markets, simplifying cross-border operations for a healthcare provider that runs 89 hospitals and 190 total facilities.
Why Healthcare Organizations Are Doing This
Healthcare systems with operations across multiple countries face a common problem: different markets run different technology stacks, making it hard to standardize processes or move data between regions. Consolidation reduces redundant costs and gives executives a single view of performance.
For IHH, the transformation also supports regulatory compliance and frees clinical and administrative staff to focus on patient care rather than managing disconnected systems.
Dilip Kadambi, IHH's group chief financial officer, said the partnership will "drive greater cost efficiency while empowering our teams to focus on what matters most - caring for patients."
The AI Component
Infosys Topaz applies generative AI to automate routine processes and surface insights from operational data. This differs from traditional ERP implementations, which typically move data into a new system and leave decision-making to humans.
With AI embedded in workflows, IHH teams can get recommendations on procurement decisions, supply chain optimization, and resource allocation without manually querying reports.
Venky Ananth, Infosys's executive vice president for healthcare, said the approach "consolidates fragmented systems into a unified, cloud-based platform that enables real-time decision-making."
What This Means for Healthcare IT Leaders
Organizations managing multiple hospitals or clinics across regions face similar challenges. This partnership shows one path forward: moving from multiple legacy systems to a single cloud-based platform with AI capabilities built in from the start.
The work also signals that major healthcare providers are moving past basic digitization toward AI-assisted operations. For healthcare IT professionals, this means skills in data integration, cloud platforms, and AI-driven process design are increasingly relevant.
Learn more about AI for Healthcare and how Generative AI and LLM technologies are being applied in enterprise settings.
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