Microsoft and Cognizant: Delivering on the promise of agentic AI adoption in insurance

2026-02-09 · Source: The Microsoft Cloud Blog · Field: Finance & Economics — Insurance & Risk Management, FinTech & Digital Financial Services · Depth: Intermediate, short

Summary

Microsoft and Cognizant highlight the transformative potential of agentic AI in the insurance industry, despite only 7% of insurers successfully scaling AI initiatives. Agentic AI, which supports autonomous tasks and decision-making under human oversight, addresses challenges like talent shortages, legacy infrastructure, and financial strain from over $100 billion in annual catastrophe losses. Opportunities include workforce augmentation, exemplified by Sedgwick's Sidekick Agent improving claims processing by over 30%, personalized customer experiences, and operational efficiency gains of 30–40%. Agentic AI can also enhance quality assurance and improve chatbots to offer end-to-end customer experiences, such as capturing first notice of loss and scheduling appraisals. One major insurer cut complex-case liability assessment time by 23 days and reduced customer complaints by 65% using over 80 AI models.

Key takeaway

For insurance executives evaluating digital transformation strategies, embracing agentic AI is a strategic imperative to enhance efficiency and customer satisfaction. You should prioritize establishing an AI Center of Excellence and leveraging industry accelerators to overcome adoption challenges and drive measurable improvements in areas like claims processing and customer service, while maintaining human oversight for critical judgments.

Key insights

Agentic AI offers insurers a path to overcome adoption hurdles and achieve significant operational and customer experience improvements.

Principles

• AI adoption requires human oversight.
• Address talent shortages with AI augmentation.
• Cultural transformation is key to scaling AI.

Method

Establish an AI Center of Excellence, conduct iterative testing on high-volume tasks, target scarce talent areas, and utilize industry accelerators like Cognizant's Agent Foundry for deployment.

In practice

• Implement agentic AI for claims processing.
• Use AI to personalize customer interactions.
• Augment roles like fraud detection.

Topics

• Agentic AI
• Insurance Industry
• AI Adoption
• Digital Transformation
• AI Center of Excellence

Best for: Executive, Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Microsoft Cloud Blog.