GreenM provides a fast path to deploy your first private AI solution
“Rapid experimentation is no longer optional in healthcare — it’s the only way to find AI that works safely.”
J. Patel, MD, Chief Clinical Transformation Officer, HIMSS
1 Step
(Week 1-2)
Discover & Validate
We map clinical and operational workflows, analyze data sources, and run AI use case validation as part of an AI discovery sprint.
Deliverables ↓
Workflow analysis (clinical and operational)
Use-case validation delivered through an AI validation sprint
Success metrics and ROI baseline
Technical feasibility review
Compliance and security constraints
Defined prototype scope
2 Step
(Week 3-4)
Build a Private AI Environment
We set up a secure environment inside Azure/AWS/on-prem, connect required data sources, and prepare a foundation for safe AI validation during an AI prototype sprint.
Deliverables ↓
Secure environment (cloud or on-prem)
Large language model selection and configuration
Data connectivity setup (EHR, billing, CRM, documents)
Security baseline for HIPAA, GDPR, NHS DSPT
3 Step
(Week 5-6)
Solution Design & Delivery
We build a working solution through AI prototype development, integrate it into clinical workflows, validate performance with your team, and prepare a scaling roadmap.
Deliverables ↓
Private solution aligned to the use case
Integration into existing workflows (EHR-adjacent, portals, Teams, CRM)
Clinician and operations feedback
Validation and performance testing
Training and knowledge transfer
Post-Launchpad Operationalization
We work with your team to integrate clinical and operational data, expand workflows, introduce agentic capabilities, and scale adoption across the organization.
Success Stories from Real Healthcare Organizations
Real-world improvements in efficiency and care quality
“GreenM delivered a practical and secure way for our teams to apply AI in clinical documentation.”
Knowing how to start an AI healthcare pilot remains a challenge
“Compliance slows everything down.” “We can’t take on another risky project.” “We need something real, not a slide deck.”
Fragmented Data
Clinical and operational data live in different tools with no single source of truth
Rigid EHRs
Locked-down systems limit automation, forcing teams to rely on manual workarounds
Disconnected Workflows
When clinical workflows don’t align, it has nothing consistent to automate
Limited Expertise
Clinics often lack engineering capacity for private LLMs, RAG, secure cloud, or DevSecOps
Compliance Risk
Teams fear PHI leakage, vendor lock-in, external model retention, and limited auditability
Unproven Value
Executives need a prototype and measurable ROI before committing to investment
Benefits of AI Launchpad for Healthcare
Real results, not promises
Boost your project
Up to 40% reduction in workload
Build a prototype in 6 weeks
A working private solution, not a slide deck
Compliancy from day one
Solutions run with no sensitive data leakage
Plan long-term adoption
Clear roadmap, governance, and cost model
Key Use Cases of AI Launchpad in Healthcare
Enable modern automation where your operations need it most
Clinical Documentation & Automation
Notes, summaries, and follow-up letters
Quality checks and standardization
Structured EHR documentation
Operational Workflow Automation
Automated reminders
Intake & triage
Task routing, follow-ups
EMR/EHR data extraction
Dedicated Agents for Care Teams & Patients
Scheduling agents
Communication routing
Knowledge/policy search
Care coordination support
Real Results from Healthcare AI
AI delivers measurable value across clinics and care providers
Faster Clinical Workflows
AI reduces documentation time by 45–70%, cuts administrative turnaround, and speeds up patient messaging time by up to 60%
Higher Patient Engagement
Agentic reminders and follow-ups reduce no-shows by 20–35%, improve patient response rates, and accelerate patient flow by 10–20%
Accurate Operational Data
Unified data layers eliminate up to 90% of manual reporting, increase data trust, improve scheduling and capacity accuracy by 25–40%
Lower Workload & Costs
Modern automation reduces admin workload by 30–50%, lowers operational costs by 15–25%, and frees staff for patient-facing work, improving team satisfaction
Insights are derived from 2024–2025 healthcare studies (AMA, MGMA, NHS, HIMSS, McKinsey, Nuance DAX) and outcomes from recent GreenM projects
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 solutions operate safely, predictably, and fully within your governance framework.
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.
Why 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.
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.
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.
It is a structured 6-week program designed to support the validation AI use cases, the building of prototypes, and secure integration within your private cloud as part of a broader AI launch platform healthcare approach and AI agents launchpad scenario.
How does the GreenM AI Launchpad process work?
It includes discovery, workflow mapping, validation, prototype development, private infrastructure setup, and deployment into real clinical workflows, following an AI agent launchpad delivery model.
Is this a HIPAA-compliant AI Launchpad?
Yes, your data stays inside your secure infrastructure, with no external retention and full audit control.
What types of AI solutions can be delivered?
Clinical documentation, workflow automation, predictive analytics, communication agents, triage, intake, EHR integration, and private LLMs.
Can it integrate with our EHR?
Yes — Epic, Cerner, Semble, Athena, billing, scheduling, and other internal platforms.
How secure is the process?
Security is built by design: private deployments, encrypted pipelines, no data leaving your environment.
Can startups use the AI Launchpad service?
Yes — the program supports healthcare startups, clinics, and multi-site healthcare systems, including AI launchpad for healthcare startups.
What makes GreenM’s Launchpad different?
It is healthcare-specific, private-by-design, workflow-aware, and delivered by a team with 10+ years of healthcare experience, applying an AI agent launchpad approach focused on real clinical workflows.
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