Oct 19, 2026
Manulife Expands Enterprise AI to Improve Efficiency and Insurance Services
Manulife is introducing a shared artificial intelligence platform across its global operations, aiming to generate $1 billion in cumulative enterprise value by 2027 while improving efficiency, underwriting and customer service.
Canadian insurance and financial services company Manulife has launched a proprietary enterprise artificial intelligence (AI) platform designed to help teams develop, deploy and manage AI applications across its global business. The initiative marks a shift away from developing isolated AI tools toward a coordinated system that allows successful applications to be reused across markets, potentially reducing development time and improving operational efficiency.
The platform provides a common environment where teams can build and implement AI solutions. Applications that have already passed security, risk and governance reviews can be reused in other markets without repeating the entire approval process. However, the company will still need to account for local business requirements and regulatory obligations when deploying these tools in different jurisdictions.
According to Manulife President and CEO Phil Witherington, the platform is intended to help teams collaborate, innovate and scale AI responsibly. For the insurance industry, this approach could make it easier to expand useful technologies across multiple business units while maintaining consistent oversight.
Manulife Targets $1 Billion in AI-Driven Value by 2027
Manulife expects artificial intelligence to generate $1 billion in cumulative enterprise value by 2027. The company reported that it had already achieved $300 million in value by the end of 2025, demonstrating the financial impact it attributes to its AI initiatives.
The company’s measure of enterprise value includes several sources of financial benefit, such as ongoing expense reductions, increased revenue from AI-powered workflows, fraud reduction and the ability to accommodate business growth without proportionally increasing operating costs. This last component, known as growth absorption, is particularly relevant to insurers that want to expand their customer base and policy volumes while controlling administrative expenses.
Manulife previously described its ambition as generating more than $1 billion in value. Its latest announcement uses a $1 billion target, although the company has not clarified whether this wording reflects a change in its underlying expectations.
The new platform is intended to support further progress toward this goal by making it easier to replicate successful AI applications rather than developing separate solutions for every market or department.
Three AI Applications Highlight the Platform’s Potential
Manulife identified three applications that illustrate how the platform can support different parts of its insurance operations.
In Singapore, an AI-powered sales assistant helps employees retrieve information more quickly and prepare for conversations with clients. By making relevant information easier to access, the tool can help staff spend less time searching for resources and more time supporting customers.
Another application is an intelligent document processing service that extracts important information from documents and reduces the need for manual data entry. Document processing is a significant operational consideration for insurers, which routinely handle applications, financial records and other paperwork. Automating these tasks could improve processing speed and allow employees to focus on work requiring greater attention and judgment.
The third application, Quick Quote, is being used in the United States to automate parts of the preliminary life insurance assessment process. The tool provides financial advisors and prospective customers with earlier access to underwriting information, potentially reducing delays during the initial stages of obtaining coverage.
Manulife Global Chief AI Officer Jodie Wallis said the platform would help the company scale proven ideas across its business. The broader objective is to remove unnecessary friction for customers, advisors and employees while supporting more consistent service delivery.
Although these applications serve different purposes, their integration into a shared platform reflects a common strategy: using AI to streamline repetitive tasks and make operational resources more accessible across the organization.
Microsoft Partnership Supports Manulife’s AI Strategy
The platform builds on Manulife’s five-year partnership with Microsoft, announced in July 2026. Under the agreement, Microsoft became a foundational partner in the platform’s development, which was in the pilot stage at the time. Manulife also expanded access to Microsoft 365 Copilot to more than 30,000 employees.
The partnership supports the company’s broader effort to incorporate AI into everyday workflows while developing the governance and infrastructure needed to manage these technologies at scale.
Manulife’s progress has also been recognized in industry assessments. In June 2026, the company was ranked the leading life insurer for AI maturity for the second consecutive year in the Evident AI Index for Insurance. The index evaluates 30 major insurers across North America and Europe, with Manulife placing third overall. Evident noted that Manulife had disclosed more AI use cases in production than any other insurer included in the index.
These developments suggest that Manulife is moving beyond experimentation and increasingly focusing on putting AI applications into practical use across its operations.
What the AI Platform Could Mean for Insurance Advisors and Customers
For insurance advisors, Quick Quote is one of the most immediately relevant developments. Currently operating in the United States, the tool is designed to accelerate preliminary life insurance underwriting and reduce paperwork during the initial application process.
Faster access to preliminary underwriting information could help advisors have more productive discussions with prospective clients, identify potential issues earlier and reduce some of the administrative burden associated with new business. However, preliminary assessments are not the same as final underwriting decisions, and the tool should not be interpreted as a guarantee of policy approval or coverage.
The platform’s governance model is also important. Reusing applications that have already passed internal reviews can improve efficiency, but it does not eliminate the need to assess risks associated with different markets, customer groups and regulatory environments.
Financial institutions face growing scrutiny over how they develop, monitor and govern AI systems. For insurers, responsible implementation requires attention to data protection, model reliability, fairness and the quality of decisions that affect customers. AI tools must also operate within the applicable insurance rules in each jurisdiction.
Manulife’s approach attempts to balance these considerations with the potential benefits of broader AI adoption. By combining shared infrastructure with security and governance processes, the company aims to scale useful applications without treating every deployment as an entirely new project.
What Manulife’s AI Expansion Means for the Insurance Industry
Manulife’s new platform reflects a broader shift in the insurance sector toward using artificial intelligence as an operational capability rather than a collection of standalone experiments. Automated document processing, AI-assisted customer service and faster preliminary underwriting could help insurers improve productivity, manage costs and deliver a smoother application experience.
However, the practical impact will depend on how effectively these technologies perform in real-world settings, how their risks are managed and whether efficiency gains translate into measurable improvements for customers and advisors.
For Canadian policyholders and insurance professionals, one important distinction is that Quick Quote currently operates in the United States. Its introduction does not establish that the same tool is available in Canada. Any future Canadian deployment would need to account for the country’s insurance requirements and Manulife’s local operating arrangements.
The company’s $1 billion target provides a financial benchmark for evaluating its progress. As AI becomes more deeply integrated into insurance operations, the industry’s challenge will be to turn technological investment into meaningful improvements in efficiency, service and customer outcomes while maintaining appropriate oversight.
Looking Ahead
Manulife’s enterprise AI platform represents a significant step toward scaling artificial intelligence across its global operations. With $300 million in reported cumulative enterprise value achieved by the end of 2025 and a $1 billion target for 2027, the company is positioning AI as an important part of its business strategy.
Whether this approach delivers lasting benefits will depend on its ability to scale successful applications, maintain strong governance and demonstrate tangible value for customers, advisors and the business.
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