Defining AI use cases for a large dental service provider

Clearbox AI helped a large dental service organization by thoroughly assessing their data to determine the most promising AI use cases for their business. We also guided the client in deploying models through MLOps best practices, ensuring the efficient and reliable scaling of their AI solutions.

The challenge

The dental service organization managed large volumes of data, including patient records, appointment schedules, billing, and logistics. They needed to identify AI projects with the highest return on investment while ensuring feasibility within their existing infrastructure. At the same time, they sought an efficient deployment pipeline for rapid testing and iteration of AI models.

The solution

We began with a comprehensive data assessment using Clearbox AI’s profiling tools to map data sources, evaluate quality, and identify inconsistencies. This helped uncover key AI opportunities, such as optimizing patient appointments, detecting billing anomalies, and improving patient risk stratification.

Working closely with IT teams and clinical experts, we prioritized AI use cases based on feasibility, data readiness, and business impact. To support implementation, we provided recommendations on MLOps best practices, including CI/CD pipelines, containerization, and automation. A pilot MLOps pipeline was deployed to accelerate model development and deployment, while targeted training ensured the organization’s teams could independently scale and manage AI solutions.

The result

With a structured, data-driven approach, the organization identified high-impact AI initiatives and reduced model deployment time from weeks to days. The new MLOps framework provided a scalable foundation for future AI projects, improving efficiency, reducing costs, and enhancing patient care. Additionally, a clear roadmap for data governance ensured long-term sustainability and adaptability in a rapidly evolving industry.