Manual coding and scaling slowed CapitaLand’s app. AI now generates 25% of the code, boosting developer productivity 35%.
A leading global real asset manager operating in over 270 cities with a 13-year-old loyalty program serving 1.8 million members.
Reliance on manual virtual machines required reactive scaling during festive retail peaks, while siloed teams faced long feedback loops that hindered...
“The decision to use Microsoft solutions came down to a few factors. We weren’t building something from scratch, so we couldn’t afford to use third-party products that didn’t integrate seamlessly with our existing tech stack. When introducing tools, the product team had to be able to use them easily without requiring lengthy training.”
CapitaLand's Software development is part of this use case:
Diversified real estate group managing commercial, residential, and lodging portfolios.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Outsourcing restricted confidential data. A two-week sprint equipped teams with standardized workflows to securely build AI in-house.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
Legacy systems delayed releases for 12 months. AI modernized 350k lines of Java, enabling the team to ship four apps in four months.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
Legacy systems delayed releases for 12 months. AI modernized 350k lines of Java, enabling the team to ship four apps in four months.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Manual coding and scaling slowed CapitaLand’s app. AI now generates 25% of the code, boosting developer productivity 35%.
A leading global real asset manager operating in over 270 cities with a 13-year-old loyalty program serving 1.8 million members.
Reliance on manual virtual machines required reactive scaling during festive retail peaks, while siloed teams faced long feedback loops that hindered...
“The decision to use Microsoft solutions came down to a few factors. We weren’t building something from scratch, so we couldn’t afford to use third-party products that didn’t integrate seamlessly with our existing tech stack. When introducing tools, the product team had to be able to use them easily without requiring lengthy training.”
CapitaLand's Software development is part of this use case:
Diversified real estate group managing commercial, residential, and lodging portfolios.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Outsourcing restricted confidential data. A two-week sprint equipped teams with standardized workflows to securely build AI in-house.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
Legacy systems delayed releases for 12 months. AI modernized 350k lines of Java, enabling the team to ship four apps in four months.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
Legacy systems delayed releases for 12 months. AI modernized 350k lines of Java, enabling the team to ship four apps in four months.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
Scattered expertise across 40 engineering topics slowed global teams. Now, an AI agent instantly surfaces secure, curated best practices.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.