Manulife launches shared AI platform to reuse approved tools across markets

Manulife is promising to make AI easier to scale, but its headline financial gains came before this launch. On October 13, 2026, the insurer introduced a proprietary Enterprise AI Platform for building and managing tools across its global operations. The company says its wider AI efforts delivered $300 million in cumulative value by year-end 2025.

The new platform gives teams a common environment for development, deployment and governance, rather than treating each AI application as a separate project. Manulife expects that shared foundation to shorten delivery times while accommodating different businesses and jurisdictions. It is an operational change in how the company develops and spreads AI, not the announcement of a new model.

Reuse is the route to faster delivery

The central mechanism is reuse. Teams can take AI use cases that have already been reviewed and approved, then build on them through the platform’s security, risk and governance controls. Manulife says this will reduce development time and let teams concentrate on the requirements of a particular application, rather than starting each effort from scratch.

Insurance Business describes the approach as allowing approved tools to move into other markets without repeating the full approval process. That is not a promise of identical deployment everywhere: Manulife says the common foundation must still support local business and jurisdictional needs. Global reuse and local requirements are both part of the design.

The company also says its AI strategy is designed to maintain human accountability, with platform-built solutions following its Responsible AI Principles. On resource use, the platform supports matching model size to the task where appropriate, an approach Manulife says is intended to reduce cost and energy consumption.

The launch follows a five-year Microsoft agreement announced in July. Microsoft became a foundational partner while the platform was still in pilot, according to Insurance Business. That earlier pilot places this announcement at the next stage of an existing development effort, rather than the beginning of the platform’s work.

The platform positions us to move beyond individual solutions to a shared enterprise capability that encourages and enables teams around the world to innovate, collaborate, and scale AI responsibly.

Phil Witherington, Manulife president and CEO

Sales preparation, documents and early insurance assessments

Manulife identified three applications being integrated onto the platform. They cover information retrieval, document handling and preliminary insurance assessment. The announcement presents them as examples of work moving onto the shared foundation, rather than three products debuting together.

• Singapore Sales Agent helps sales staff find information, answer questions and prepare for customer conversations. Manulife describes the tool as providing real-time support, with the aim of helping employees work more efficiently and improving the customer experience.
• Intelligent Document Processing is a shared service that reads documents and extracts key information for teams across Manulife. The company says it reduces manual data entry and processing time, improves accuracy and helps staff make decisions faster.
• Quick Quote, already launched in the United States, automates key steps in preliminary life-insurance assessment. Manulife says it gives customers and advisors faster access to early underwriting information—the information used to assess an insurance application—while reducing manual effort.

The $1 billion goal covers more than savings

Manulife expects its AI initiatives to generate $1 billion in cumulative enterprise value by 2027. That target covers AI embedded across businesses, platforms and workflows; it is not a forecast for the new platform alone. Likewise, the $300 million reported through 2025 is a measure of earlier AI activity, not a result of this October launch.

Its definition of value combines several kinds of benefit: run-rate expense reductions, additional revenue from AI-powered workflows, fraud reduction and “growth absorption.” Insurance Business explains the last term as handling business growth without a matching increase in costs. The total therefore should not be read simply as cash savings or additional revenue.

The company cautions that its expected AI benefits depend on execution and could differ materially from its forecasts. It names changing AI laws and regulations, its ability to deploy future use cases, and attracting and retaining employees among the risks. The shared platform is the delivery mechanism; the financial target remains a company expectation.