Asia-Pacific life insurers are entering an agentic artificial intelligence inflection point, but legacy systems and weak data foundations could determine whether adoption improves performance or adds operational risk. Forty-two percent of insurers remain constrained by legacy systems, even as customer expectations, growth targets and productivity demands push carriers to modernise.
Abhilash Sridharan, Partner at McKinsey & Company, said, "Artificial intelligence is becoming urgent because insurers need to understand risk more accurately and support customers during moments of uncertainty." Analytical AI identifies patterns in structured data, while generative AI processes unstructured information such as medical reports. AI Agents & Automation add another layer by orchestrating complex workflows across distribution, underwriting, claims and servicing.
Sridharan said some insurers show progress in automated underwriting, claims handling or distribution productivity, but no carrier has mastered the shift across all areas.
Arthur Calipo, Asia Pacific Insurance Leader and Partner for Financial Services at Deloitte, said AI can improve growth, efficiency and resilience. "Faster adopters could gain an advantage in how they acquire, develop and retain customers," he said.
The execution gap
Leading insurers are not deploying isolated use cases but transforming full business domains such as underwriting or claims around measurable outcomes, Sridharan said. They are building reusable capabilities, modern data foundations, and operating models that connect business, technology and AI teams.
Readiness depends on leadership, business ownership, data quality, technology architecture and governance, according to Calipo. "Business leaders, not only technology teams, need to drive adoption," he said.
Modernisation without disruption
Replacing everything at once is not the answer. Sridharan advises insurers to redesign high-value customer journeys first, then build digital, data and AI layers over existing infrastructure. This approach allows carriers to improve critical functions without ripping out core systems.
Why this matters for insurance professionals
The message for insurance professionals is clear: AI adoption without strong data foundations and business ownership risks adding operational drag rather than competitive advantage. Carriers that will pull ahead are those redesigning customer journeys and building reusable capabilities, not those chasing isolated automation wins. For life insurers, the test is whether agentic AI can improve underwriting, claims and distribution - areas where AI for Insurance tools are being deployed - without disrupting core operations.
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