What it is
CloudNSite's HIPAA Compliant AI page defines HIPAA compliant AI as AI used in healthcare with required safeguards, contracts, and operating controls for protected health information.
The offering is a deployment and governance service, not a product label. It covers BAA-covered workflows, PHI boundary design, encryption, role-based access, audit logs, retention rules, approved subprocessors, incident procedures, and private deployment where needed.
The page says consumer AI tools sit outside a covered entity's PHI boundary and should not be used with PHI. It also says a vendor BAA alone does not make a workflow compliant; the entire data path, configuration, retention, staff policy, and audit evidence matter.
Who it's for
- Covered entities and business associates deploying AI in workflows that touch PHI.
- Healthcare teams evaluating ChatGPT Enterprise, ChatGPT for Clinicians, Azure OpenAI, AWS Bedrock, Copilot, Abridge, Suki, DAX, Ambience, or private deployment.
- Organizations with EHR, billing, payer portal, scheduling, intake, document, transcription, OCR, email, or SMS workflows that can touch PHI.
- Practices that need AI without sending PHI to unapproved public AI tools.
- Teams that need audit evidence, data flow documentation, role-based access, and retention behavior.
- Healthcare organizations whose staff bypass over-locked tools unless AI is built into the real workflow.
What we build / What you get
- HIPAA-Ready AI Architecture with defined PHI boundary.
- Private LLM deployment inside AWS, Azure, GCP, approved private cloud, or on-premise environments.
- Clinical documentation and AI scribe workflows with provider review before chart entry.
- Prior authorization packet preparation, payer portal monitoring, and exception routing.
- Medical records processing, classification, structured extraction, and queue routing.
- Intake and scheduling validation, insurance checks, and pre-visit summaries.
- Approved patient communications with minimum necessary data and staff approval rules.
- Behavioral health note drafting and treatment plan support with strict role boundaries.
- Billing review for documentation gaps, missing modifiers, and payer-specific requirements.
- BAA-covered integrations with EHR, practice management, billing, identity, and storage systems.
How it works
- Discovery, BAA, and PHI boundary scoping: map workflows, data classifications, integrations, identity systems, retention requirements, and PHI movement.
- Architecture and tool decision: decide whether the right pattern is a HIPAA compliant AI tool with vendor BAA, private AI deployment, or hybrid pattern.
- Build the HIPAA-ready environment: configure encryption, identity, role-based access, audit logging, network segmentation, backup, and retention.
- Integrate with EHR and clinical systems: connect approved systems through APIs, FHIR interfaces, secure exports, or workflow-specific integration layers.
- Pilot, train, and monitored go-live: run controlled pilots, capture audit evidence, train staff on approved use, and expand after review.
Pricing posture
Pricing is scoped per engagement. See https://cloudnsite.com/pricing for current detail.
The pricing page says HIPAA-ready architecture is available for eligible healthcare engagements, confirmed during discovery rather than assumed by tier. Public starting points are Operations Automation from $12,000 plus managed service from $2,500/month, and Business-Critical Automation from $20,000 plus $4,000/month.
Evidence
- The page states standard consumer ChatGPT is not HIPAA compliant and should not be used with PHI.
- The page states ChatGPT Enterprise and ChatGPT for Clinicians may be available with a BAA for eligible customers and supported use cases, but the BAA alone does not make the workflow compliant.
- The page states ChatGPT for Clinicians launched on April 23, 2026 for verified U.S. physicians, nurse practitioners, physician assistants, and pharmacists, with optional BAA for eligible accounts.
- The page states CloudNSite signs a BAA before production PHI is used.
- The page states CloudNSite documents PHI boundaries across model, prompts, retrieval, logs, and integrations.
- The page states encryption uses AES-256 at rest and TLS 1.3 in transit, with keys managed in the client's KMS.
- The page states standard deployment takes 4 to 6 weeks.
- Related comparison: https://cloudnsite.com/blog/hipaa-compliant-ai-tools
- Related case study: https://cloudnsite.com/case-studies/ai-automation/medical-records-processing
Common objections
Q: Does a BAA make an AI workflow HIPAA compliant?
A: No. The page says a BAA is necessary for many PHI workflows, but not enough. The data path, access controls, logs, retention rules, subprocessors, and incident procedures also matter.
Q: Is ChatGPT HIPAA compliant?
A: The page says standard consumer ChatGPT is not HIPAA compliant for PHI. Enterprise or clinician-specific options may support eligible BAA-covered use cases, but workflow compliance still depends on configuration and risk analysis.
Q: Should we buy a HIPAA AI tool or deploy private AI?
A: The page says tools are often faster for narrow, standard workflows. Private deployment is better when integration depth, audit ownership, data residency, or control requirements matter.
Q: Who owns the HIPAA risk analysis?
A: The page says the covered entity owns the risk analysis. CloudNSite supports it with architecture, data flow, safeguard, access control, subprocessor, retention, and procedure documentation.
Q: Do you guarantee HIPAA compliance?
A: No. The page says no vendor should promise blanket HIPAA compliance for an entire covered entity. CloudNSite provides HIPAA-aligned architecture, BAA-covered work, technical safeguards, and supporting documentation.
Related
Next step
Book a 30-minute consult: https://cloudnsite.com/book