From Call Centres to Advisors: Singlife Bets on Agentic AI to Redefine Insurance Sales in ASEAN
Singapore‑based insurer Singlife has become one of the first major regional carriers to roll out “agentic AI” at scale, deploying Salesforce’s Agentforce to support customer‑service teams and, eventually, financial advisers and end customers. The move highlights how insurers in A…

By
Sophie Aldridge
Published
Jan 1, 2026
Read
2 min

Singapore‑based insurer Singlife has become one of the first major regional carriers to roll out “agentic AI” at scale, deploying Salesforce’s Agentforce to support customer‑service teams and, eventually, financial advisers and end customers. The move highlights how insurers in ASEAN are shifting from experimental chatbots to more powerful AI agents that can handle complex, multi‑step tasks.
Computer Weekly reports that Singlife has begun using Agentforce to assist contact‑centre staff by summarising customer histories, proposing next‑best actions and drafting responses in real time. Over time, the insurer plans to extend the platform to its adviser network, enabling agents to generate tailored proposals, run scenario analyses and manage follow‑ups more efficiently. Direct‑to‑consumer use cases—such as guided claims filing and personalised policy recommendations—are also on the roadmap.
The initiative comes as insurers across Asia grapple with rising customer expectations, tightened regulations and margin pressure from higher capital and reinsurance costs. AI is seen as a way to boost productivity, reduce manual errors and deliver more consistent, compliant advice. But “agentic” systems—capable of chaining multiple tasks and interacting autonomously with back‑end systems—raise new governance questions compared with simpler FAQ bots.
Singlife says it is addressing these concerns by starting with human‑in‑the‑loop deployments and focusing on internal efficiency before unleashing agentic AI directly to customers. Supervisors can review and edit AI‑generated content, and the company is investing in training staff to work effectively with the new tools. Data‑security and privacy safeguards are being strengthened, with strict controls on the information models can access and policies to prevent leakage of personally identifiable information.
Regulators in Singapore and across ASEAN are watching closely. Monetary authorities have issued broad AI‑risk management and ethics guidelines, emphasizing accountability, transparency and fairness in model design and deployment. For insurers, that means documenting how AI decisions are made, providing explanations to customers, and ensuring that models do not inadvertently discriminate against certain groups.
Industry analysts say Singlife’s move could spur peers to accelerate their own AI programs. Large incumbents in markets such as Malaysia, Thailand and Indonesia are already experimenting with generative AI for underwriting support, claims triage and policy‑document summarisation. Global carriers operating in the region are deploying group‑wide AI tools, but must adapt to local languages and regulatory contexts.
If executed well, agentic AI in insurance could significantly change how protection products are sold and serviced in ASEAN, reducing friction for customers and freeing human advisers to focus on higher‑value interactions. If mismanaged, it could create new operational and reputational risks. Singlife’s early experience will therefore be an important test case for the region’s insurance sector as 2026 begins.

Written by
Sophie Aldridge
Senior correspondent · Banking & Capital Markets
Sophie spent a decade on a debt capital markets desk before swapping the trade for the typewriter. She covers banks, regulators, and the underwriting decisions most readers never see. Sharpest on fixed income and balance-sheet stress; partial to central bankers who pick up the phone. Based in Riyadh. Reach out at sophie.aldridge@theplatinumcapital.com.




