Introduction
Singapore has set out to become Southeast Asia’s artificial intelligence command centre. The government has committed more than S$1 billion to public AI research through 2030, global hyperscalers are investing billions in local cloud and AI infrastructure, and AI tools are moving into everyday working life across the island. Microsoft data placed Singapore second in the world for generative AI diffusion in early 2026, with 63.4% of the working-age population using generative AI tools.
The picture inside companies is more uneven. Worker enthusiasm has outpaced the systems that run the business, and that gap is becoming the single largest barrier to turning AI ambition into measurable results.
Singapore’s Ministry of Manpower reported in 2026 that 71.5% of firms had yet to adopt AI at all, with company-level adoption standing at 28.5%. For many Singapore businesses, the systems beneath the AI are now the harder problem. Applications remain disconnected, and data sits in silos across departments.
Singapore Businesses Are Drowning in Disconnected Applications
Modern organisations depend on a sprawling technology stack. A typical Singapore mid-market company might run an ERP for finance and operations, a CRM for sales, separate HR and payroll applications, e-commerce platforms, supply chain tools, payment gateways, analytics suites, and a growing set of AI services. Each system holds part of the truth about the business, and few of them speak to one another cleanly.
A 2024 industry survey reported that 68% of organisations now cite data silos as their top data concern, up seven percentage points on the previous year. When applications operate in isolation, information has to be moved by hand, reconciled across spreadsheets, or re-keyed from one platform into another. Every manual step introduces delay and the risk of error.
Why System Integration Challenges Undermine AI
AI depends on data that is clean, current, and connected. An AI model can only reason over the information it can reach, and the quality of its output is set by the quality of that input. When finance, sales, inventory, and operational data sit in separate systems, AI is left working from a partial picture.
In the 2026 Connectivity Benchmark Report, 95% of organisations reported facing integration challenges, and 86% of IT leaders warned that without proper integration, AI agents add more complexity than value.
Research from IBM found that 53% of surveyed executives said difficulties integrating AI infrastructure with legacy systems derailed their target outcomes. The pattern is consistent. Singapore organisations invest in advanced AI tools, then discover that fragmented systems quietly cap the value those tools can deliver.
The Real Cost of Fragmented Systems
System integration challenges impose direct operational costs across several areas.
Poor data quality
When the same customer, product, or transaction is recorded differently across systems, AI outputs become unreliable. Decision-makers lose confidence in the numbers, and adoption stalls.
Slow synchronisation
Research by Informatica found that 78% of data teams struggle with orchestration and tool complexity, and that some data pipelines can take up to 12 weeks to build. Insights that arrive late lose much of their value in a fast-moving trading hub like Singapore.
Wasted effort
Industry analysis suggests that data scientists spend around 80% of their time on data preparation, leaving limited capacity for analysis. Disconnected systems push skilled people into low-value data wrangling, which is costly in a high-wage economy.
Weak governance
As AI becomes embedded in operations, businesses need clear audit trails, approval workflows, and data access controls. Fragmented systems make it difficult to see who is using which data and how decisions are reached.
Stalled AI scaling
A pilot can run on a single dataset. Enterprise-wide AI requires connected systems, standardised workflows, and reliable cross-functional reporting. Without that foundation, promising pilots fail to scale.
Why Integration Is Especially Acute for Singapore Businesses
Singapore is a regional headquarters hub. A large share of companies based here run operations across several Asean markets, managing multiple currencies, tax regimes, and languages from Singapore. This regional footprint multiplies the number of systems in play, making clean integration harder to achieve.
The same Ministry of Manpower findings suggest that Singapore’s workforce is technologically ready, while many organisations are still building the systems, governance frameworks, and operational models needed for full AI integration.
The Singapore government has recognised this. Through IMDA’s SMEs Go Digital programme and Enterprise Singapore grants, businesses can access funding and pre-qualified vendors to move from manual processes toward connected systems. The direction of travel is clear. Singapore wants its firms to match strong worker-level AI use with the operational systems that make AI dependable.
The Integration Platform Market Is Growing Quickly
Demand for connectivity is reflected in the rise of integration platform-as-a-service (iPaaS). These cloud platforms connect applications, move data in real time, and orchestrate workflows across systems. Asia Pacific accounted for around US$3.77 billion of the iPaaS market in 2025, close to a quarter of the global total.
This growth tells a clear story. Connectivity has become a board-level priority for businesses that want to operate in real time, and Singapore sits at the centre of that demand in Asia.
From Point-to-Point Connections to Orchestrated Operations
Many businesses begin with point-to-point connections, wiring one system directly to another. This approach works for a handful of applications. As the stack grows, the number of connections multiplies, and the architecture becomes fragile and expensive to maintain.
Modern integration takes a different path. A central platform manages connections, synchronises data, and orchestrates workflows across the whole estate. This gives businesses real-time information, cross-system visibility, and the ability to automate processes spanning multiple applications.
Where iPaaS Fits: Celigo and Workato
Celigo
Celigo was named a Visionary in the 2025 Gartner Magic Quadrant for iPaaS for the second consecutive year, and serves more than 5,000 NetSuite customers as one of the platform’s largest integration partners.
Its integrator.io platform offers a large library of prebuilt connectors and AI-assisted error handling, helping both technical and business users connect NetSuite to e-commerce, CRM, logistics, and finance applications.
Workato
Workato was named a Leader in the 2025 Gartner Magic Quadrant for iPaaS for the seventh time, with the furthest placement for completeness of vision.
Workato focuses on enterprise orchestration, connecting applications, data, and AI agents so that complex, multi-step processes can run end-to-end with built-in governance.
Used well, these platforms turn a fragmented set of applications into a connected operational backbone, which is the foundation AI needs to perform.
What Good Integration Looks Like
A well-integrated business shares several characteristics:
- Connected systems, where finance, sales, operations, inventory, and customer data flow with minimal manual handling.
- Real-time synchronisation, so information stays current across every platform.
- Workflow orchestration allows processes that span multiple systems to run automatically.
- Scalable architecture, able to absorb new applications, entities, and markets without becoming brittle.
- Strong governance, with clear controls over data access and process approvals.
When these conditions are in place, AI has the connected, trustworthy data it needs to deliver value across the organisation.
Why Choose PS Global Consulting?
PS Global Consulting is Southeast Asia’s leading Oracle NetSuite consultancy and digital transformation partner, headquartered in Singapore, with deep expertise across cloud ERP implementation, automation, integration, and regional localisation.
From its Singapore base, PS Global supports organisations across Singapore, Indonesia, Thailand, Malaysia, Vietnam, the Philippines, Hong Kong, and the wider Asia-Pacific markets. Its capabilities include Oracle NetSuite ERP implementation, financial transformation, system integration, workflow automation, localisation and compliance enablement, and multi-country cloud transformation projects.
PS Global works closely with technology partners, including Oracle NetSuite, Celigo, Workato, and Netgain, to help businesses connect fragmented systems, automate workflows, and improve visibility across increasingly complex environments.
As AI adoption accelerates in Singapore, the businesses that succeed will be those with a connected operational core. PS Global helps organisations build that foundation so that integration supports AI ambition rather than holding it back.
Conclusion
AI is advancing quickly in Singapore, and the harder challenge now lies in the systems beneath it. When applications are disconnected, data silos form, workflows fragment, and AI struggles to deliver enterprise-wide value.
Solving system integration challenges is, therefore, one of the most important steps a Singapore business can take to prepare for AI. Connected systems, real-time data, and orchestrated workflows give AI the foundation it needs. For organisations across the island, the message is straightforward. Strong integration is what allows AI ambition to become an operational reality.
