Agentic AI in Insurance

Assessing the Impact of Agentic AI on the Insurance Value Chain – US, Europe & Asia

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Situation

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Our client sought to explore the impact of Agentic AI on the insurance sector, particularly assessing adoption priorities and strategic challenges across Life, Personal P&C, and Commercial P&C.

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Objective

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The goal was to identify how insurers are adopting and scaling AI, including where they stand today, what’s enabling or hindering progress, and how operating models are evolving.

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Our Work

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10EQS gathered global perspectives from senior insurance executives mapping current AI maturity. Insights were synthesized across strategy, data and technology, workforce, governance, and future operating models.

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Project team

• Ex-BCG Strategy Consultant with 15+ years experience in financial services, data/analytics and technology advancements
• Ex-McKinsey Consultant supporting interviews & content synthesis
• 10EQS Delivery Operations (=PMO) providing quality assurance, process management and expert recruitment
• 15 industry experts

Industry experts (excerpt)

• Head of Data & AI Transformation – Insurance Company (France)
• SVP and Head of Group Data & AI – Insurance Company (Germany)
• Chief Technology Officer (CTO) – Insurance Company (UK)
• AVP Engineering – Gen AI/LLM –  InsuranceCompany (US)

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Results

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10EQS found that the expert feedback was consistent across geographies and business models: insurers are progressing, but AI remains unevenly scaled across functions. The work identified structural hurdles like legacy tech debt and fragmented data, analyzed the shift from manual execution to AI operating models, and delivered strategic recommendations on priority use cases to guide go-to-market positioning.

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