American International Group is delivering measurable returns from its digital transformation strategy by embedding artificial intelligence directly into core insurance operations, particularly underwriting and claims. The company’s Q1 2026 earnings call highlights how AI is no longer an experimental layer but a central driver of productivity, efficiency, and profitability across its commercial insurance portfolio.
AIG’s most tangible progress is visible in its Lexington middle-market property business, where AI-powered underwriting tools are producing significant operational gains. The company reported a 30 percent increase in quoting submissions, indicating improved throughput and the ability to handle higher volumes of business. At the same time, AI automation has reduced the time required to generate quotes by 55 percent, dramatically accelerating customer response times in a competitive market where speed is a key differentiator.
Roshan Navagamuwa is the Chief Information Officer (CIO) at AIG, where he leads global technology and cybersecurity strategy, oversees core infrastructure and partnerships, and drives cloud and modernization initiatives. Navagamuwa holds a Bachelor of Science in Computer Science from Denison University.
Equally important is the improvement in conversion efficiency. AIG achieved nearly 40 percent growth in policy binding rates, demonstrating that faster and more accurate underwriting is translating into higher win rates. This combination of speed, scale, and conversion underscores how AI is reshaping underwriting economics by improving both top-line growth and operational efficiency.
The company’s approach is centered on multi-agent AI systems that enhance decision-making across underwriting workflows. These systems are designed to support underwriters with data-driven insights, automate routine processes, and improve consistency in risk evaluation. Rather than replacing human expertise, AIG is using AI to augment underwriting capabilities, enabling more precise risk selection and better pricing decisions.
Beyond underwriting, AIG is also integrating AI into claims management, where accuracy and speed are critical to customer satisfaction and cost control. Advanced analytics and AI models are helping improve claims assessment, reduce errors, and streamline decision-making. This integrated approach ensures that digital transformation spans the entire insurance value chain, from policy origination to claims settlement.
A key differentiator in AIG’s strategy is its focus on quantifiable outcomes. While many insurers discuss AI adoption in qualitative terms, AIG has provided clear metrics that demonstrate the return on its technology investments. The 30 percent increase in submissions, 55 percent reduction in quote time, and nearly 40 percent rise in binding rates highlight the scale of productivity improvements being achieved.
These technology-driven gains are closely aligned with AIG’s broader financial objectives. The company is targeting an expense ratio below 30 percent by 2027, reflecting a strong emphasis on cost discipline and operational efficiency. At the same time, AIG aims to deliver operating earnings per share CAGR above 20 percent over the same period. AI and digital tools are playing a critical role in achieving these targets by reducing manual workloads, improving decision accuracy, and enabling scalable growth.
Data and analytics form the backbone of this transformation. AIG is leveraging advanced modeling techniques to enhance risk assessment, optimize its portfolio, and strengthen underwriting discipline. This is particularly important in property insurance markets, where volatility and exposure to catastrophic risks require precise risk management. By using AI to refine risk-adjusted returns, AIG is positioning itself to navigate market uncertainties more effectively.
Strategically, AIG’s transformation reflects a broader shift in the insurance industry toward automation-led operating models. As competition intensifies and customer expectations evolve, insurers are increasingly relying on AI to deliver faster, more personalized, and more accurate services. AIG’s ability to demonstrate measurable improvements gives it a competitive edge, particularly in commercial lines where underwriting complexity is high. Overall, AIG’s Q1 2026 performance highlights how deeply embedded AI has become in its business model. By integrating artificial intelligence into underwriting, claims, and analytics, the company is not only improving operational efficiency but also enhancing its ability to grow profitably. The results suggest that AIG is moving beyond digital experimentation to a phase where AI-driven transformation is delivering sustained financial and operational impact.
RAJANI BABURAJAN
