Majesco, a provider of AI-native and cloud-native software solutions to the insurance industry, has released a new thought leadership report examining insurers’ strategic priorities for 2026.
title 2026 Strategic Focus: Cutting-edge Insurance Companies in the Age of Insurance IntelligenceThe report is based on Majesco’s preliminary research into how insurance companies are investing in technology and transforming their businesses.
Majesco said insurance companies are increasingly focusing on AI, generative AI and agent AI as they seek to achieve operational and strategic goals.
Research shows that the gap between leaders, followers and laggards is growing, with more advanced insurers moving beyond limited AI pilots to broader business transformations supported by automated, intelligence-driven processes and operating models based on cloud and AI-native technology foundations.
Majesco’s findings indicate that insurers ranked as Leaders are integrating AI more deeply into their business strategies, with the company linking this approach to lower expense ratios, improved operational performance, enhanced customer experience, stronger talent attraction and retention, increased innovation and improved long-term competitiveness.
Denise Garth, chief strategy officer at Majesco, commented: “Artificial intelligence is quickly becoming the new dividing line between leaders in insurance and followers and laggards.”
“Leading insurance companies are leveraging cloud and AI-native core technology foundations to redesign their operating models, deeply integrating AI into the business and redefining them as cutting-edge insurance companies, achieving unprecedented agility and value creation faster than traditional companies. For an industry like insurance that is data-intensive, regulated, highly competitive and often financially challenged, the risks and opportunities are high, but the potential business value and outcomes are even greater.”
Majesco said insurers continue to face a range of pressures, including rising operating costs, increased risk exposure, talent shortages, aging technology infrastructure and profitability challenges. The company believes that artificial intelligence and generative AI have the potential to impact nearly every area of the insurance value chain, from underwriting and claims management to policy servicing and fraud detection.
Improvements achieved through AI at the level of individual tasks can deliver wider benefits across the organization, Majesco said. Over time, the efficiencies gained through automation and intelligence-led decision-making may help improve agility, reduce operating costs and enhance financial performance, the company said.
The study believes that entering 2026, artificial intelligence will become an increasingly important business priority for insurance companies, and cost management, operational efficiency, customer experience and artificial intelligence capability development will become more closely integrated. Majesco also reports that insurers with more mature AI programs are extending their lead through greater adoption of analytics, generative AI, agent AI and real-world business applications, creating an increasingly significant competitive advantage in the market.
Majesco further noted that generative AI is most widely used in customer service, claims and underwriting functions to streamline processes and improve operational capabilities. The report also highlights growing interest in agent AI, as insurers assess its potential to automate workflows, coordinate activities and support decision-making across the enterprise.
The company emphasized that the long-term success of artificial intelligence will depend on the strength of the underlying data capabilities. Majesco’s research points to data maturity, governance, integration and risk management as key factors in determining whether insurers can effectively scale AI initiatives and realize sustainable value from their investments.
Majesco concluded that insurance companies that invest in cloud and AI-native technology foundations, modernize core systems, and redesign operating models to support collaboration between employees and AI technology may be better positioned to increase efficiency, enhance competitiveness, and respond to changing demands.
