Asurion captive director calls for AI adoption with human oversight at Bermuda conference

Captive insurers should use AI to strengthen underwriting and claims work, but humans must stay accountable for final decisions. That's per Asurion's Clifton Sain at the Bermuda Captive Conference.

Categorized in: AI News Insurance
Published on: Jun 05, 2026
Asurion captive director calls for AI adoption with human oversight at Bermuda conference

Captive Insurers Adopt AI While Keeping Humans in Control

Captive insurers should use artificial intelligence to strengthen underwriting and claims work, but humans must remain accountable for final decisions, according to Clifton Sain, director of captive underwriting at Asurion, speaking at the Bermuda Captive Conference in June.

Sain said captives have a natural advantage in deploying AI because they sit close to their parent companies' risk data and can spot emerging exposures early. That proximity gives them insight competitors often lack.

"Captives are no longer just alternative risk financing vehicles," Sain said. "At their best, captives are risk-intelligence hubs for their parents."

The Role of Captive Managers

Sain oversees day-to-day operations at Asurion's captive reinsurance companies and advises on captive strategy, governance, and regulatory compliance. He works with captive insurance managers, regulators, board members, and internal teams to align governance and strategy across Asurion's captives, including WDP Insurance Ltd. in Gibraltar.

His comments reflect a broader shift in how captive insurers view their function. Rather than simply absorbing risk from parent companies, they increasingly act as centers for analyzing and understanding risk patterns.

AI Applications in Underwriting and Claims

AI can speed up underwriting decisions and claims processing by identifying patterns humans might miss. But the technology works best when paired with human judgment on decisions that carry significant consequences.

For insurance professionals managing captive operations, this means building systems where AI flags issues and suggests actions, but humans make the final call. That approach protects both the organization and policyholders.

Learn more about AI for Insurance and how the technology applies to claims, underwriting, and risk assessment.


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