Organisations in Singapore currently use an average of 12 agents, with the number projected to climb by 58% by 2027, according to Salesforce‘s latest MuleSoft Connectivity Benchmark report.
Multi-agent adoption in Singapore
The report found that AI agents are becoming the main driver of enterprise productivity in Singapore, with almost all (98%) Singapore IT leaders saying agents have already improved employee experiences or that they expect them to.
Additionally, organisations are actively supporting or planning to support a range of standards or protocols for managing and connecting AI agents, such as Agent Communication Protocol (49%), Agent Network Protocol (46%), and Agent-to-Agent Protocol (44%).
However, almost all (98%) organisations experience barriers to using data for AI use cases. Some 41% say the top blocker is outdated IT architecture/infrastructure due to data silos/disconnected systems, while over half (62%) say cross-application data governance is a top integration challenge.
Seamless data integration
The report also found that the majority (96%) of Singapore IT leaders agree that AI agent success depends on seamless data integration across all systems. Some 33% of organisations are already leveraging APIs to speed up integration across systems, and almost half (45%) are already using APIs to connect and govern AI.

“For organisations moving into the multi-agent era, this is where the real opportunity lies – those that invest in orchestration to connect, govern, and coordinate agents across the enterprise are the ones that will move beyond disconnected pilots to become a genuine Agentic Enterprise,” said Gavin Barfield, vice president and CTO, Solutions, Salesforce ASEAN.

“Success requires reimagining integration strategies to build a foundation that is sustainable and secure. By establishing API-driven guardrails, enterprises can ensure their agentic transformation is ready for the demands of the modern enterprise,” said Kurt Anderson, managing director and API Transformation Leader, Deloitte Consulting LLP










