"Keerthi Amistapuram is a technology entrepreneur and engineering leader driving digital transformation across the global insurance industry. Her field of endeavor lies at the intersection of insurance technology, cloud-native enterprise systems, and applied Artificial Intelligence, where she designs scalable, secure, and intelligent platforms that modernize how insurers operate and serve customers. With deep expertise in .NET Core, C# Web APIs, microservices, SQL Server, and distributed cloud architectures, Keerthi has led the re-engineering of complex legacy insurance ecosystems into agile, high-performance digital platforms. Her work spans policy administration systems, eligibility engines, customer portals, and insurance marketplaces used by millions of policyholders and agents. By combining modern architecture with strong security and resilience practices, she enables organizations to transition from monolithic systems to future-ready, cloud-enabled infrastructures. A key dimension of Keerthi’s entrepreneurial impact is the integration of AI/ML, deep learning, and Generative AI into insurance platforms. She has driven the development of predictive risk models, fraud detection systems, intelligent claims automation, and AI-powered decision support tools. Her GenAI initiatives include smart document processing engines and conversational AI solutions that transform policy servicing and claims operations, improving accuracy, speed, and customer experience while reducing operational risk. As a technical leader, Keerthi mentors global engineering teams, guides architecture strategy, and champions Agile, secure coding, and engineering excellence for mission-critical systems. Her multi-domain background in insurance, banking, credit bureau, and public sector systems strengthens her ability to build compliant, high-volume, and customer-centric platforms.An author, researcher, and innovator with multiple publications and patents, Keerthi stands as a thought leader advancing AI-powered enterprise transformation in the insurance sector.

AI, Insurance Abstract Agentic AI for Next-Generation Insurance Platforms: Autonomous Decision-Making in Claims and Policy Servicing Autonomy in AI can improve trust, scalability, efficiency, and responsiveness. This is particularly pertinent in claims processing and policy servicing, where labour needs are diminishing but demand peaks are increasing. An insurance technology platform that uses agentic AI to automate these activ- ities would enhance the speed, quality, and efficiency of service delivery. If these autonomous systems are made trustworthy, their deployment would not only satisfy current labour shortages but also improve user sentiment in engagements that have traditionally been painful, frustrating, and expensive to manage. Acting on behalf of insurance companies, agentic AI would decide whether a claim should be settled or lead to escalation for further assessment. In the course of a policy life, agentic AI would address servicing requirements such as endorsements, renewals, and compliance checks, adjusting pricing in real time as new information becomes available. These transformations would benefit insurers whose investment in agentic AI remains aligned with the appropriate architectural paradigms—modular architecture focused on business goals, privacy-by-design data architecture, and decision-making frameworks that establish certifiability boundaries in low-risk domains such as claims and servicing. The links between claims processing, policy servicing, and architectural paradigms are further explored in the corre- sponding sections. Index Terms—Agentic Artificial Intelligence, Autonomy, Trust- worthy AI, Insurance Technology, Claims Processing, Policy Ser- vicing, Scalability, Efficiency, Responsiveness, Labour Shortages, Service Automation, Decision-Making Frameworks, Privacy-by- Design, Modular Architecture, Real-Time Pricing, Compliance Checks, User Experience, Certifiability Boundaries, Low-Risk Domains, Digital Transformation.