HIPAA-Compliant AI for Healthcare
Deploy AI agents for clinical support, coding, compliance, and operations — HIPAA-compliant, on your own servers. On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. No need to choose build vs. buy — you get both.
MCP Architecture Guide for Healthcare
How to connect your healthcare systems (EHR, LMS, credentialing, patient portals) to AI agents — with HIPAA compliance.
Read the GuideAI Agents for Healthcare
AI Courses for Healthcare
Practitioner training grounded in primary sources. Each course publishes its full design — module outline, learning outcomes, assessment, and the regulations it cites. Request access to run one with your cohort.
HIPAA-Compliant AI: PHI, BAAs, and Where the Data Lives
What HIPAA actually requires of an AI deployment — the BAA analysis, Security Rule safeguards, minimum necessary, and the architecture that keeps PHI inside your boundary.
Clinical Documentation with AI: Ambient Notes and Review
Deploy ambient documentation safely — accuracy in clinical language, the attestation requirement, note bloat, and measuring whether it returns clinician time.
Medical Coding with AI: ICD-10, CPT, and Denial Prevention
AI-assisted coding that improves accuracy rather than just speed — code suggestion, documentation gap detection, denial prevention, and staying clear of upcoding.
Prior Authorization Automation with AI Agents
Compress the highest-friction administrative process in healthcare — payer requirement lookup, packet assembly, status tracking, and appeal drafting.
Patient Education Agents: Health Literacy and Safety
Patient-facing AI that explains conditions and discharge instructions safely — reading level, language access, scope boundaries, and symptom escalation.
AI in Clinical Decision Support: Evidence, Limits, and Liability
Deploy clinical decision support responsibly — evidence grounding, automation bias, transparency obligations, and where liability actually lands.
How ibl.ai compares
Agentic AI Operating System for Healthcare
ibl.ai gives healthcare organizations their own Agentic AI Operating System — deploy, customize, and control AI agents across your organization without vendor lock-in.
All PHI stays on your servers — air-gapped from the internet if needed. No third-party vendor ever processes or stores your patient data. Every clinician and staff member gets AI tools trained on your protocols, formularies, and institutional knowledge.
Clinical & Patient Care Agents
Evidence-based guidance, drug interaction checks, and clinical protocol recommendations — grounded in your organization's approved resources.
All clinical data processing happens on your servers. No PHI ever leaves your infrastructure.
Condition explanations, discharge instructions, wellness guidance, and medication information in plain language.
Help patients understand their care plans with HIPAA-compliant AI — on your servers.
Referral management, transitions of care, follow-up scheduling, and care plan tracking.
Reduce gaps in care with AI agents that connect across departments — all within your network.
Coding, Billing & Compliance Agents
ICD-10 and CPT code selection assistance, claim optimization, and denial prevention.
Improve coding accuracy and reduce denials without exposing claims data to third parties.
Insurance verification, authorization requests, appeals generation, and status tracking.
Accelerate prior auth workflows while keeping all patient data on your servers.
HIPAA training, safety protocols, certification tracking, and audit preparation.
Ensure consistent compliance across all locations and departments — available 24/7.
Operations & Research Agents
Credentialing, orientation, system training, and competency tracking for new providers.
Get new clinicians productive faster with AI-guided onboarding — on your servers.
Literature review, clinical trial matching, and evidence synthesis.
Accelerate research workflows with AI that searches across your approved databases.
Clinical note assistance, template generation, and documentation quality checks.
Reduce documentation burden without sending clinical data to any third party.
Outcome metrics tracking, HEDIS/CAHPS analysis, and quality reporting.
Identify improvement opportunities with AI that analyzes your data — entirely within your network.
EHR support, system access management, and technical troubleshooting — available 24/7.
Resolve common tech issues instantly while freeing your IT team for complex EHR work.
Clinical protocol search, policy lookup, best practices, and formulary guidance.
Instant access to your organization's approved clinical knowledge — on your servers.
Key Benefits
Integrations
Pricing & Ownership
Get Started
What our partners say about us
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Chris Gabriel | Google
Lorena Barba | George Washington University
Dr. Juana Mendenhall | Morehouse College
Juile Diop | MIT
Adam Tetelman | Nvidia
Jason Dom | American Public University System
Benjamin Breyer | Columbia University
Ken Fujiuchi | SUNY
Erika Digirolamo | Monroe College
David Flaten | SUNY
David Vise | Modern States Education Alliance
Linda Wood | ARM Institute (U.S. Department of Defense)
Frequently Asked Questions
It is a complete AI infrastructure that lets healthcare organizations deploy, customize, and control AI agents across every function — clinical support, patient education, medical coding, compliance, and operations.
Unlike closed SaaS tools, you own the entire codebase and deploy on your own servers. PHI never leaves your infrastructure.
Yes. ibl.ai deploys entirely on your infrastructure — air-gapped if needed. All PHI stays within your environment, every agent interaction is logged and auditable, and you control all access policies.
You own the full source code. No third-party vendor ever processes or stores your patient data.
ibl.ai integrates with EHR platforms like Epic, Cerner/Oracle Health, Allscripts, athenahealth, and Meditech. It connects to practice management, lab information, and radiology systems via HL7 FHIR and standard healthcare APIs.
SSO is supported via Okta, Azure AD, SAML, and smart card authentication.
DAX and Abridge are cloud-based SaaS tools — your clinical data flows through their servers. ibl.ai runs entirely on your infrastructure with full code ownership.
You control the AI models, the data, and the deployment. No vendor lock-in, no per-clinician pricing, and no third-party access to PHI.
Yes. ibl.ai is LLM-agnostic and supports models from OpenAI, Google, Anthropic, and others. You can run models locally on your own GPUs for maximum PHI protection, or use cloud APIs where compliance allows.
Clinical support agents provide evidence-based guidance, drug interaction checks, and protocol recommendations — grounded in your organization's approved clinical resources.
Medical coding agents assist with ICD-10 and CPT code selection, claim optimization, and denial prevention — all within your own infrastructure.
Yes. A clinical documentation agent (AI medical scribe) drafts structured notes and after-visit summaries from the encounter and writes them back to your EHR, improving CDI — without sending audio or notes to a vendor cloud.
A prior authorization agent checks payer rules, assembles requests with supporting evidence, tracks status, and drafts appeals. Both run air-gapped, so PHI never leaves your servers.
A typical pilot deploys agents in one department within a few weeks to demonstrate clinical value and HIPAA compliance. Organization-wide deployment scales from there.
We start with a free 30-minute assessment to identify the highest-impact use cases for your organization.
Private AI you own — for healthcare
Run a self-hosted, private LLM platform on your own servers — on-premise or air-gapped. You own the code, data, and models, with no per-seat fees.