GreenM

Healthcare organisations that want AI working inside their daily operations are the focus of GreenM. The company calls itself a data innovation, architecture and design firm, and its current emphasis is private AI for healthcare. By its own count it has more than ten years of work in healthcare AI, and it builds that AI so that it runs inside the client's own environment.

Private AI prototypes and self-hosted deployment

GreenM says it can validate a use case and build a working private AI prototype within six weeks. Deployment is self-hosted, either in the client's private cloud account or in an on-premises environment, so that patient data stays inside the client's infrastructure. The company stresses that the work is designed to fit around existing systems rather than replace them.

Joining clinical, financial and operational data

Clinical, financial and operational data are brought together in one platform prepared for AI use. GreenM points to a common problem: electronic health records, scheduling, billing, CRM and patient portals often do not talk to each other. Its clinical workflow integration adds AI to those EHR, scheduling and billing processes. Its agentic AI systems run multi-step clinical and operational tasks, and its LLMOps service monitors, evaluates and tunes healthcare AI once it is in production.

Compliance and privacy alignment

Security and compliance are described as foundational to every project. GreenM aligns its work with HIPAA, NHS DSPT, GDPR and FHIR, as well as with the policies of each organisation it works for. The firm says that no data leaves the client's infrastructure.

Client work and reported results

For NRC Health, GreenM built an AWS-based SaaS real-time analytics portal, which the firm reports has processed more than 50 million patient surveys for up to 10,000 self-service users. For NPH Group, it built an AI policy assistant that gives answers to internal policy questions in seconds. For ROC Clinics, it built a unified data platform for clinical, operational and finance data, and the firm reports 60 percent faster month-end reporting and 80 percent faster client export delivery. GreenM also quotes its own figures for reduced administrative load and reporting time from AI automation.