Manulife Canada

Life insurance underwriting in Canada has historically been a friction-heavy process, requiring applicants to complete lengthy, static medical questionnaires before waiting days or weeks for a coverage decision. For advisors managing client relationships, this delay created a significant drop-off risk — applicants who complete an application but wait too long for a decision often abandon the process entirely. Meanwhile, underwriters spent disproportionate time reviewing routine, low-complexity cases that offered little opportunity for judgment. The cumulative effect was a process that was slow to scale, inconsistent in data quality, and misaligned with the expectations of a digitally-native customer base.

Manulife addressed these inefficiencies by upgrading MAUDE — the Manulife Automated Underwriting Decision Engine — and pairing it with a redesigned electronic application built around reflexive, physician-style questioning. Rather than presenting every applicant with the same exhaustive questionnaire, the new system uses predictive ML models to adapt forms dynamically based on age and coverage amount, surfacing only the questions relevant to each applicant's risk profile. Standardized pick lists for medications and conditions improve data consistency, while flexible workflows accommodate cases requiring paramedical exams. Applications that fall outside MAUDE's automated approval criteria are seamlessly routed to human underwriters, preserving personalized review for complex cases. Manulife has been building and scaling its AI infrastructure since 2016, giving MAUDE a decade of underwriting data to inform its models.

By December 2025, MAUDE was automatically approving 58% of eligible cases — a 56% increase from pre-launch levels, representing a step-change in straight-through processing. Eligible applicants now receive decisions in as little as two minutes, compared to a process that previously stretched over days. The redesigned application delivers up to 40% fewer medical questions per submission, directly reducing completion time and abandonment risk. Advisor adoption has been strong since the fall 2025 launch, validating the workflow integration.

• 58% automatic approval rate for eligible cases
• 56% increase from pre-launch baseline
• ~2 minutes end-to-end for eligible approvals
• Up to 40% fewer medical questions per application

Manulife projects AI will generate more than $1 billion in enterprise value by 2027, with operational efficiency gains — including underwriting automation — cited as a significant contributor.

• Reflexive questioning outperforms static forms: Adapting questions by applicant profile reduces friction without degrading data quality — a design principle applicable across any high-volume intake workflow.
• AI and human underwriters are complementary, not competitive: Routing routine cases to automation while preserving human review for complex ones improves throughput without sacrificing risk judgment.
• Data infrastructure investment compounds over time: Manulife's decade of AI capability-building since 2016 is what made MAUDE's accuracy and adoption rate possible — late starts carry a real cost.
• Responsible AI governance enables faster deployment: Grounding model decisions in explicit AI principles reduces internal friction and builds advisor and client trust at rollout.