Kellton Selected to Build AI-Driven Enterprise Claims Management Platform for Leading U.S. Healthcare Company

In August 2026, Kellton, which is an AI-led digital transformation and enterprise technology consulting company, was recently selected by a leading US healthcare administration and claims management company to help design and build an AI-driven enterprise claims management platform. The strategic engagement will help modernize complex claims operations through a unified digital architecture, thus creating the foundation for intelligent automation, greater operational visibility, and AI-led transformation across the claims lifecycle.

This engagement will bring healthcare, dental, and workers’ compensation claims operations onto a unified enterprise platform, replacing multiple disconnected systems and workflows across the claims lifecycle, from digital submission and verification through review, workflow management, and settlement.

The engagement further strengthens Kellton’s growing healthcare technology capabilities and reflects its ability to help enterprises modernize complex operating environments where AI adoption depends on trusted data, connected systems, and well-orchestrated workflows. This engagement also reflects the company’s ability to bring that complexity onto an integrated, scalable foundation and create the architecture required for AI-driven operations. By combining deep enterprise engineering, integration, and intelligent automation capabilities, the aim is to help healthcare organizations improve operational efficiency while simultaneously creating a pathway to help translate AI investments into more meaningful business outcomes.

Impact on the Healthcare Market

Designed to serve as a central hub within the client’s broader operating ecosystem, the platform will help integrate with provider networks, policy administration systems, and billing and payment services, thus enabling information to flow reliably among the stakeholders who are involved in claims processing.

By consolidating fragmented claims systems, data, and workflows into a unified architecture, the engagement is designed to improve operational visibility, reduce administrative complexity, accelerate claims processing, and establish a scalable foundation for AI-powered automation and intelligence across claims operations. Built for a regulated healthcare environment, the platform will also combine enterprise engineering and complex systems integration with the accuracy, auditability, data integrity, and reliability required for mission-critical operations.

Impact on the Artificial Intelligence in Healthcare Market

The global artificial intelligence (AI) in healthcare market size is valued at USD 36.96 billion in 2025 and is predicted to increase from USD 51.20 billion in 2026 to approximately USD 744.34 billion by 2035, expanding at a CAGR of 35.02% from 2026 to 2035.

According to Precedence Research, the vast exposure to tech development due to the increasing patient admissions in clinical and hospital settings contributes to the healthcare future. Whereas wearable medical devices act as a main steering to the responsible data evaluation for promising patient outcomes. Significant investment is flowing from venture capital, private equity, and major tech corporations (Google, Microsoft, IBM). Investors are attracted to the potential for massive clinical impact and substantial cost savings for healthcare systems, as well as the future of digital health and precision medicine.

AI algorithms can also be trained to examine patient health details, which further helps care providers in quickly detecting the condition and making a correct therapy scheme. Government initiatives, the rising number of fusions and purchases, and technical cooperation. The rising entry of artificial intelligence methods in medical treatment applications has further resulted in key market participants concentrating on product newness and technical connections to escalate their commodity portfolio and meet and greet the increasing needs.

Impact on the Generative AI In Healthcare Market

The global generative AI in healthcare market size is valued at USD 2.64 billion in 2025 and is predicted to increase from USD 3.57 billion in 2026 to approximately USD 48.23 billion by 2035, expanding at a CAGR of 33.71% from 2026 to 2035.

According to Precedence Research, the applications of generative AI in healthcare are diverse and far-reaching. It can assist in predicting diseases, identifying risk factors, and improving diagnostic accuracy by analyzing large volumes of medical records. Medical imaging can benefit from generative AI by generating artificial images that simulate different conditions, aiding in training healthcare professionals and refining image techniques. Furthermore, it can be used for data anonymization, removing personally identifiable information while preserving statistical properties and ensuring patient privacy.

The generative AI market in healthcare is also being driven by collaborative efforts between technology providers, healthcare institutions, and research organizations. These collaborations foster the exchange of knowledge, resources, and expertise, pushing the boundaries of generative AI applications in healthcare. Additionally, advancements in AI technologies, computational power, and data availability contribute to the growth and sophistication of generative AI solutions. 

Expert Opinion

Karanjit Singh, CEO APAC, Kellton said,

“The healthcare industry is at an important inflection point, where the opportunity presented by AI must be matched by the ability to modernize the complex data, systems, and workflows that underpin critical operations. Claims management is a strong example of this complexity, requiring multiple stakeholders, regulated data, and interconnected processes to work seamlessly together.