Private AI for Healthcare Organizations

Workflow-ready AI, built on your data and deployed inside your existing infrastructure
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HIPAA/GDPR-compliant AI, integrated into clinical workflows, supported by unified health data and secure infrastructure
GreenM helps healthcare organizations put AI into daily operations by automating clinical workflows and unifying data — without replacing existing systems or risking data privacy.

Our Healthcare AI Services

AI Launchpad

Start small, move fast, and see real impact in 6 weeks
A structured sprint to validate a real use case and deliver a working, production-ready prototype.
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Private AI Foundation

A secure and compliant private AI infrastructure for healthcare
Deploy your private LLM, set up governance, cost control, and guardrails.
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Unified Health Data

Bring your clinical, financial, and operational data into one place
A unified, AI-ready data layer that reporting, automation, and AI can reliably use.
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Clinical Workflow Integration

Embed AI into existing clinical workflows
Integrate AI into EHR, scheduling, billing, and communication systems your teams already use.
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Agentic AI Systems

Deploy context-aware AI agents within defined workflows and controls
For documentation, triage, coordination, internal support, and operational workflows.
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Scaling & Optimization

Operate and scale AI across teams and locations with full governance
Monitoring, evaluation, LLMOps, cost control, and ongoing operational improvement.
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Compliance & Trust: HIPAA/NHS/GDPR-Compliant solutions

Security and compliance are foundational to every project
  • Deployment in your private cloud account or on-prem environment
  • Zero data leaves your infrastructure
  • Aligning with HIPAA, NHS DSPT, GDPR, FHIR, and organization-specific policies
Your secure AI healthcare solutions operate predictably and fully within your governance framework.

Success Stories from Real Healthcare Organizations

“GreenM delivered the project to spec and on time, and elevated the level of our whole engineering department.”
Tim Ottersburg, VP of Technology, NRC Health
SaaS Real-Time Analytics Portal
End-to-end cloud analytics platform on AWS, designed to transform analytics & patient experience.
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Unified Data Platform For Private Clinics
A single data layer that connects clinical and operational data to eliminate manual reconciliation, replace spreadsheets, and provide real-time reporting.
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AI-Powered Letter Quality Assessment
Improved Accuracy, Consistency & Governance of Clinical Correspondence
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Assisted Support for Human-Led Conversations
An AI agent designed to scale real-time support without losing human touch
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View All Success Stories

Challenges Modern Healthcare Organizations Face

Healthcare teams face growing pressure to improve outcomes while reducing operational burden

Physician burnout & administrative overload

Too many repetitive tasks: documentation, reminders, routing, follow-ups.

Disconnected systems & data silos

EHR, scheduling, billing, CRM, and portals don’t talk to each other.

Compliance & privacy concerns

Generic AI tools introduce industry compliance risks and data-exposure threats.

Rising operational costs & patient expectations

Manual workflows slow down care delivery and reduce patient satisfaction.

Measurable Impact for Healthcare Organizations

“The new Power BI and data platform have transformed the way we access and use our data. What used to take days now takes minutes, it’s a real step forward in our operational visibility.”
Mark Philpott, CEO, NPH Group

35-45% less administrative workload

AI automates routine tasks and documentation so teams can focus on care.

2-3× faster documentation

Notes, letters, and summaries generated instantly with 95–99% accuracy.

60-90% time saved on reporting

Automated pipelines deliver daily dashboards without manual prep.

15-25% lower operational costs

Automation reduces overhead across scheduling, intake, and communication.

Who We Build AI For

Specialty & Outpatient Clinics

Multi-Site Healthcare Groups & MSOs

Occupational Health & Employee Wellbeing Providers

Home & Community Care Providers

Hospitals & Provider Networks

Digital Health & Healthtech Innovators

How GreenM Delivers Private AI Healthcare Can Trust

Private
Design

Runs fully inside your cloud (Azure, AWS, on-prem). Your data stays private, no external retention.

Built for Healthcare Workflows

Integrated with EHR, scheduling, billing, CRM, portals. Works inside the tools your teams already use.

Automates What Slows Care Down

Documentation, reminders, routing, triage, reporting, policy search.

Partnership You Can Trust

Secure healthcare AI development with deep clinical, operational, and technology expertise.

Testimonials

I’ve leveraged technical help from GreenM on numerous consulting projects from basic AWS setup and administration to implementing complex design using serverless managed AWS services for rapid development of scalable solutions to clients. GreenM has always delivered on-time and is a great partner to collaborate with.
BJ Choi
SVP Engineering, Quantive Radianse
GreenM brings both deep expertise and a highly effective development team to every project they work on. In my time working with GreenM at NRCHealth, they not only delivered every project to spec and on time, but also elevated the level of our whole engineering department with their organizational and architectural best practices.
Alex Gallichotte
BI Department Lead, Fair
Great communication, fantastic partner, really smart about data and health data in particular. Senior Management are some of the best technical people I’ve ever worked with in more than 13 years. They consistently exceed expectations
Nathan Seaman
VP of Product, Human API
We have worked with Alexey and the team at GreenM on many projects and have consistently been impressed with the quality of their work. They hire very highly skilled individuals and strive to understand not just our immediate needs but the underlying issues and how we can improve the process.
Daniel Sherer
Chief Technical Officer, MedASTUTE Consulting, LLC
GreenM team has a lot of experience with AWS. They have deployed several solutions. Their knowledge is up to date and I’d highly recommend them to anyone who needs to build BI/analytics leveraging AWS.
Leonid Nekhymchuk
Chief Technical Officer, VisiQuate Inc
GreenM is Starschema’s key partner from 2021. GreenM provided its services at a time when the market was looking for the most talented resources who are not only experienced but can also quickly manage the constantly changing technology world. GreenM quickly adapted to the Starschema working culture and high standards, and delivered technical professionals who could blend in easily. GreenM is a highly recommended partner for supporting the growth of any technical company with highly skilled and motivated professionals.
Istvan Kovacs
Delivery Lead, Starschema Ltd.

Why Healthcare Leaders Choose GreenM

A Decade in healthcare

Exclusive focus on healthcare organizations, with proven experience across clinical workflows and complex operational environments.

Proven Methodology

A proven, low-risk approach that helps teams move from idea to production with clarity, speed, and measurable outcomes.

Deep System Integration

Native integration with EHR, CRM, and operational systems to enable automation across documentation, coordination, and communication.

Security & compliance

Built with HIPAA, NHS DSPT, GDPR, and FHIR principles to ensure security, compliance, and full organizational control.
From Pilot to Production in Partnership with GreenM
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Frequently Asked Questions

What is a private AI solution for healthcare?

A private AI solution is an AI-driven solution for healthcare deployed entirely within your own cloud or on-premises infrastructure. Unlike public AI tools, private AI healthcare solutions ensure full control over clinical data, AI models, and access management, while meeting HIPAA and GDPR requirements.

This approach enables AI to be safely integrated into existing clinical workflows without exposing protected health information (PHI).

How long does AI implementation take in healthcare?

With GreenM’s AI Launchpad, most healthcare organizations see the first working AI solution in around 6 weeks. This includes validation of use cases, secure setup, and delivery of a real prototype running inside your private environment.

From there, teams can expand into full production systems and scale adoption based on real operational needs.

Is your AI HIPAA compliant?

Yes. GreenM delivers AI solutions that comply with HIPAA and GDPR and are aligned with NHS DSPT principles. Security is ensured through private deployment, encryption, strict access controls, audit logging, and data minimization.

All AI workloads run entirely within your own infrastructure, not on public endpoints.

How does AI integrate with EHR systems?

GreenM specializes in healthcare AI integration at the workflow level. We connect AI to EHR systems using secure APIs and private connectors without replacing existing platforms.

This enables clinical AI integration for documentation, intake, scheduling, reporting, and internal communication directly inside current tools.

What healthcare workflows can AI automate?

Healthcare AI can automate high-impact workflows, including:
  • Clinical documentation and correspondence
  • Patient intake, triage, and reminders
  • Scheduling and care coordination
  • Reporting and operational analytics
  • Internal knowledge and policy search
These AI applications in healthcare reduce administrative burden, improve consistency across teams, and allow clinicians and staff to focus more on patient care.

Can AI run inside our existing infrastructure?

Yes. All GreenM AI solutions run inside your existing Azure, AWS, or on-prem environment. No data leaves your private AI infrastructure and no shared AI models are used.

This ensures secure healthcare AI that aligns with internal IT and compliance policies.

How does unified health data support AI and automation?

AI systems depend on reliable data. GreenM combines healthcare data engineering with AI delivery to unify clinical, financial, and operational data into an AI-ready data layer.

Unified health data improves reporting accuracy, workflow automation, and the reliability of AI-driven healthcare solutions.

Do you provide AI consulting for healthcare organizations?

Yes. GreenM provides AI consulting alongside hands-on delivery.

We help leadership teams identify use cases, assess data readiness, validate ROI, and build private AI for healthcare providers.

What makes GreenM different from other AI development services?

Unlike generic AI development providers, GreenM’s healthcare AI application development services focus on building private, healthcare-grade systems. Our approach prioritizes security, deep workflow integration, and production readiness, rather than experimental pilots.

Our solutions are engineered to scale safely within real clinical environments.
Services:
Clinical Workflow Integration
AI Launchpad
Private AI Foundation
Unified Health Data
Agentic AI Systems
Scaling & Optimization
Success Stories
About Us
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