Radhakrishnan Arikrishna Perumal is a Texas-based Principal Software Architect and AI researcher whose 22-year career spans insurance, finance, and healthcare. As Principal Architect at Anchor General Insurance Agency in Frisco, he has led major digital transformations in enterprise software and claims processing. Industry reports note that his AI-driven solutions have modernized critical systems across insurance, healthcare, and finance, reducing losses and improving efficiency. Perumal’s leadership in ethical AI is widely recognized: “Technology must be intelligent, ethical, and scalable,” he says, reflecting a philosophy that guides his work. In recent years he has focused on building AI-powered fraud detection and claims automation platforms that have saved his company millions by thwarting fraudulent claims.

As Principal Architect at Anchor General, Perumal spearheaded an AI-powered fraud detection platform that “saved the firm millions of dollars in fraudulent claims.”  This system leverages machine learning and behavioral analytics to identify suspicious claims in real-time. Such breakthroughs exemplify his hands-on impact, as he deploys cloud-native microservices, Azure-based pipelines, and advanced .NET architectures to modernize legacy insurance systems. Industry observers note that his projects have yielded measurable gains, cutting claim processing times dramatically and boosting fraud-identification accuracy, setting new benchmarks for operational efficiency in U.S. insurers. Colleagues emphasize that Perumal’s work is problem-driven: “For me, architecture is more than just code. It’s about solving real human problems at scale,” he explains in a recent profile.

Patents, Publications, and Technical Leadership

Perumal has translated his innovations into patented technology. He holds two international AI patents – an Indian patent for behavioral biometric authentication and a UK patent for an innovative inventory management device – reflecting his blend of research and practical engineering. These inventions underpin features like adaptive fraud prevention and predictive supply-chain automation, illustrating how academic ideas become industry tools. He is also an active IEEE Senior Member, a recognition of sustained contributions to computing and engineering.

An author of over eight technical books, Perumal has made significant contributions to the global AI knowledge base. His titles include AI-Powered Claims Processing and Fraud Detection in Insurance, Engineering Intelligent Insurance Systems, Azure Architecture Unleashed, and Architecting the Future: Innovations in .NET, ReactJS, and Cloud Systems. Developers and IT leaders worldwide reference these works. Dr. Sundaravadivazhagan of Multimedia University observes that Perumal’s publications “provide a rare combination of technical rigor and visionary insight”.

Perumal’s scholarly impact extends to peer-reviewed research on explainable AI, cloud optimization, and cybersecurity. For example, he published a 2022 study on explainable AI in insurance decision-making in the International Journal of Communication Networks and Information Security (IJCNIS). He has also authored papers on zero-trust cloud architectures and generative AI in software development in respected journals indexed by Scopus. These publications, in venues such as IJCNIS and related journals, underscore his role as both practitioner and researcher. They have earned citations from peers and reinforced their reputation as thought leaders on ethical and transparent AI in enterprise contexts.

Recognition and Industry Impact

Perumal’s contributions have garnered multiple awards and high-profile recognition. In 2024, he received the International Innovative Researcher award from the Asia Research Awards for his “groundbreaking contributions” to AI, insurance technology, and cloud enterprise systems. He is also an IEEE Senior Member, a milestone achieved by fewer than 10% of eligible members worldwide, reflecting his sustained innovation. His work has been featured in top-tier media outlets, including primary Indian business and tech publications, which applaud his role in shaping next-generation insurance systems.

Perumal’s influence reaches well beyond Texas. His cross-border projects – including teams in India and collaborations with academic institutions – illustrate how his U.S.- based work resonates globally. In a competitive insurance market, adopting AI techniques could save U.S. insurers millions of dollars annually by preventing fraud and automating routine tasks. The broader insurance industry, in turn, is taking note: academic conferences and consortia now cite his patents and platforms as case studies in modern underwriting and claims. As one expert review observes, his enterprise solutions “address real-world challenges in claims processing, fraud detection, and risk management”, and they are already influencing software adopted worldwide.

In the meantime, his footprint on insurance technology is clear: as Asia Research Awards notes, “Perumal’s exceptional intellect, leadership, and global influence” in AI-powered enterprise systems have positioned him among “the most influential minds” in the field. In the view of industry observers, his work not only modernizes business practices but also sets a standard for innovation that is both principled and effective.

Learn More:

Website: www.radhakrishnanperumal.com