Transforming prospectus analysis with Generative AI
Extracting key insights from investment prospectuses is no small task. (Bolded if possible) With documents often spanning over 300 pages, stakeholders face a time-consuming and inefficient process that hinders productivity. This inefficiency drives up operational costs and limits your organization's ability to respond effectively in a competitive market.
At-a-glance insights:
Insurers have high expectations
0%
believe that Insurance firms that embrace AI will develop a competitive edge over those who do not
66%
expect a moderate to very high ROI
But the pressure is on to prove ROI
0%
face significant pressure from shareholders to show immediate ROI on AI investment
AI spending will increase significantly
0%
will increase the percentage of global budget spent on AI
of which
66%
say up to 20 percent.
and
34%
say 20 percent plus.
Building trust is a major concern—and priority
46%
of leaders have reservations about whether AI can be trusted while only
25%
fully trust AI within their organizations
82%
recognize the importance of establishing robust frameworks, policies and processes for regulatory compliance to ensure responsible AI implementation
Leadership goals for AI adoption focus heavily on operational gains rather than strategic value
How to realize value from your AI transformation journey
o address these challenges, KPMG introduces the three phases of AI value — a framework designed to guide insurers through the AI adoption journey. This phased approach provides a structured roadmap, helping insurers prioritize investments, align initiatives with business goals, and position themselves effectively in the age of AI in insurance. Click on each of the phases below to find out more.
Enable
The Enable phase focuses on enabling people and building AI foundations. Organizations appoint a responsible executive, create an AI strategy, identify high-value use cases, boost AI literacy, align with regulations and establish ethical guardrails. AI pilots are launched across functions, while cloud platforms and pre-trained models are leveraged with minimal customization.
Embed
The Embed phase integrates AI into workflows, products, services, value streams, robotics, and wearables, delivering greater value. A senior leader drives enterprise-wide workforce redesign, re-skilling and change, embedding AI into operating models with a focus on ethics, trust and security. AI agents and diverse models are deployed, supported by cloud and legacy tech modernization, while enterprise-wide data enhances operations.
Evolve
The Evolve phase evolves business models and ecosystems, using AI and frontier technologies like quantum computing and blockchain to solve large sector-wide challenges. AI orchestrates seamless value across enterprises and partners. Emphasizing ethics and trust with real-time security, this phase uplifts human potential with broad and deep workforce training, fostering a creative, innovative and value-driven future.
Intelligent insurance
This research outlines a comprehensive blueprint for AI in insurance, helping insurers chart a path towards unlocking AI’s immense value.
Download the reportTitle
Our executive summary provides a cross-sector view of how organizations are navigating the opportunities and challenges of implementing AI. Download the executive summary to see the blueprint for intelligent industries to help you become an AI-powered, customer-centric organization ready to thrive in the intelligent economy.
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