Kellton, an AI-focused digital transformation and enterprise technology consulting firm, has been chosen by a leading US healthcare administration and claims management company to develop an AI-driven enterprise claims management platform.

The strategic project aims to modernise the client’s complex claims operations through a unified digital architecture, laying the groundwork for intelligent automation, improved operational visibility and wider adoption of AI across the claims lifecycle.

The new platform will bring healthcare, dental and workers’ compensation claims processes onto a single enterprise system, replacing multiple fragmented platforms and workflows. It will cover the entire claims journey, including digital submission, verification, review, workflow management and settlement.

The platform will also function as a central hub within the client’s broader technology ecosystem, connecting provider networks with policy administration systems, billing platforms and payment services. This integration is expected to enable seamless and reliable information exchange among stakeholders involved in claims processing.

By bringing disparate systems, data and workflows together, the project is designed to simplify administrative processes, improve visibility into operations and speed up claims processing. It will also create a scalable foundation for AI-powered automation and intelligent claims management.

Given the highly regulated nature of the healthcare sector, the platform will focus on enterprise-grade engineering and systems integration, while maintaining the accuracy, auditability, data integrity and reliability required for mission-critical operations.

The engagement further expands Kellton’s healthcare technology capabilities and highlights its expertise in modernising complex enterprise environments where successful AI adoption depends on connected systems, reliable data and streamlined workflows.

Karanjit Singh, CEO APAC, Kellton, said the healthcare sector is at a crucial stage where the potential of AI needs to be supported by modern data infrastructure, systems and workflows. He noted that claims management involves multiple stakeholders, regulated information and interconnected processes, making an integrated and scalable technology foundation essential for turning AI investments into tangible business outcomes.