What is Agentic OS and how does it differ from a traditional data warehouse?

Agentic OS is an AI operating system that creates a secure, per-user memory layer by unifying data from your systems of record — SIS/LMS, HRIS, CRM, ERP, EHR/EMR, and case or document management. Unlike traditional data warehouses, it provides policy-aware retrieval with fine-grained consent controls, so AI agents reach contextual data about a specific record — a learner, an employee, a citizen, a client, a matter, or a patient — under the regime that governs it.

Can we deploy Agentic OS in our own infrastructure?

Yes. Agentic OS can be deployed on-premise or in your cloud (AWS, Azure, GCP) using your VPC, KMS, and IAM. You receive full source code access to connectors, policy engine, and agent interfaces—no vendor lock-in.

What systems does Agentic OS integrate with?

Agentic OS connects to the systems of record an organization already runs: HRIS and ERP (Workday, Oracle, SAP, Dynamics), CRM and service desks (Salesforce, HubSpot, ServiceNow, Zendesk), EHR/EMR (Epic, Cerner, Meditech), document and case management (iManage, NetDocuments, SharePoint, Clio), SIS and LMS (Banner, PeopleSoft, Canvas, Blackboard, Brightspace, Moodle), and identity providers (Azure AD/Entra, Okta, Google Workspace). Connectors run over the Model Context Protocol, so data is read in place rather than extracted into another store.

How does Agentic OS handle privacy and regulatory compliance?

Agentic OS includes privacy by design with field-level permissions, PII redaction, consent receipts, and selective disclosure. Each user controls what data is shared with AI agents, and all access is logged for audit purposes. Because the platform runs inside your own perimeter, the evidence stays with you — supporting FERPA, HIPAA/HITECH, SOX, PCI DSS, GDPR, and NIST 800-53 obligations rather than asking you to trust a vendor's attestation.

What AI agents can run on Agentic OS?

Agentic OS powers three primary agent types, whatever the industry: front-line agents for the people your organization serves, operations agents that run the work behind them, and administrative agents for oversight and reporting. In practice that means knowledge search, IT help desk, and customer support in the enterprise; citizen services, compliance, and procurement in government; case research, contract review, and discovery in legal; KYC/AML, fraud detection, and risk in financial services; clinical support, documentation, and prior authorization in healthcare; and enrollment, advising, and tutoring in education. All agents are LLM-agnostic and can use OpenAI, Claude, Gemini, or local models.

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Agentic OS (Operating System)

Unify EHR/EMR, patient portal, credentialing, and billing data into a secure patient memory layer—powering clinical support, documentation, medical coding, and prior authorization agents. 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.

Sector:Higher Education Corporate Small Business K-12 Government Legal Financial Services Healthcare

Your Code. Your Data.Full ownership, zero vendor lock-in

Any LLM, Your ChoiceAir-gapped or any cloud provider's

85% Lower CostSignificantly cheaper at scale

AI TransformationPre-existing and custom agents

Want to read the source?View the code on GitHub →

1.6M+Platform Users

400+Organizations

MCP Architecture Guide for Healthcare

How to connect your healthcare systems (EHR, LMS, credentialing, patient portals) to AI agents — with HIPAA compliance.

Read the Guide

Runs on

Air-Gapped AI Anthropic Claude Google Gemini Microsoft Copilot Amazon Bedrock OpenAI GPT NVIDIA NemoClaw OpenClaw

1 / 5

Live

Clinical Support AgentEvidence-based guidance, drug interactions, protocols Live

Patient Education AgentCondition explanations, discharge instructions, wellness Live

Medical Coding AgentICD-10, CPT coding, claim optimization Live

Compliance Training AgentHIPAA training, safety protocols, certifications Live

Research AgentLiterature review, clinical trials, evidence synthesis Live

Provider Onboarding AgentCredentialing, orientation, system training Live

Prior Authorization AgentInsurance verification, auth requests, appeals Live

Care Coordination AgentReferrals, transitions of care, follow-up scheduling Live

Documentation AgentClinical note assistance, template generation Live

Quality Improvement AgentMetrics tracking, outcome analysis, reporting Live

IT Help Desk AgentTechnical support and EHR system access Live

Knowledge Management AgentPolicy search, protocol lookup, best practices

How ibl.ai compares

ibl.ai

Model choice

Any LLM — Claude, GPT, Gemini, Llama or open-source. Switch anytime.

Locked to Anthropic Claude models

Autonomous agents

Production-ready agents out of the box — plus the tools to build your own.

Chat assistant — you build & host your own agents

Privacy & ownership

100% self-hosted — private LLMs included. You own all the code, data & models.

Runs on Anthropic's cloud — your data leaves your walls

Cost at scale

Up to 85% lower — intelligent routing across providers, no per-seat lock-in.

Per-seat & per-token SaaS pricing

Delivery & services

Our engineers work with you to connect your data sources and build your agents.

Self-serve docs & standard support tiers

Want the full breakdown?Self-hosted & private LLM →See build vs. buy →Book a 30-min demo →

OS (Operating System) — Unify clinical data into a secure patient memory layer

An Ownable AI Operating System for Healthcare.

OS by ibl.ai connects EHR/EMR, patient portals, credentialing, and billing systems over an MCP-based interoperability layer to assemble a secure, per-patient memory.

That memory gives your AI agents the right context—so every clinician gets a care assistant, every administrator a scheduling and billing aide, and every IT leader a HIPAA-ready platform.

Deployed in your infrastructure with your keys and your controls—including full code access.

For Clinicians: Context-Rich, Patient-Aware Assistants

Unified Patient MemoryMedical history, medications, lab results, care plans, and insurance details—federated from your EHR/EMR and made available (with policy guardrails) to the clinician's assistant.

Personalized Clinical SupportProactive care gap alerts, drug interaction checks, and citable answers grounded in clinical guidelines and institutional protocols.

Privacy by DesignHIPAA minimum-necessary enforcement, role-based access controls, and selective disclosure for every interaction.

ResultFaster clinical decisions, fewer missed findings, better patient outcomes.

For Administrators: An Intelligent Operations Assistant

Operational Context, Not GuessworkPulls scheduling data, credentialing records, billing codes, and utilization metrics to draft reports, flag bottlenecks, and streamline workflows.

Workflow AutomationsCredentialing renewal alerts, prior authorization tracking, and denial management—always citing approved payer policies and CMS guidelines.

Program ControlDepartment-level policies, versioned protocols, and performance dashboards.

ResultMore time for patient care coordination, less time on administrative burden.

For IT & CISO: Own the Stack, Meet Healthcare Standards

Runs in Your EnvironmentDeploy on-prem or in your cloud (AWS, Azure, GCP). Your VPC, your KMS, your IAM—no external data dependencies.

Full Code Access (No One Else Offers This)You receive source access to connectors, policy engine, and agent interfaces—no vendor lock-in.

Governance & ComplianceHIPAA/HITECH support, SOC 2 controls, RBAC, audit logs, retention policies, and data residency options.

Observability & Cost ControlUsage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration.

ResultMaximum PHI protection, audit-ready controls, and accelerated AI adoption—under your control.

What OS Connects (Examples)

EHR/EMREpic, Cerner (Oracle Health), MEDITECH, Allscripts

Patient PortalsMyChart, FollowMyHealth, Athenahealth

CredentialingCactus, Modio Health, symplr, VerityStream

Billing & Revenue CycleWaystar, Availity, Change Healthcare, R1 RCM

Identity & StorageAzure AD/Entra, Okta, OneDrive/SharePoint, S3, GCS

What's Inside OS (Architecture Highlights)

MCP Integration LayerNormalizes access to EHR/portal/credentialing/billing via secure adapters

Patient Memory LayerPer-patient knowledge graph + vector index with HIPAA-aware retrieval

Policy & Guardrails EngineField-level permissions, PHI redaction, minimum-necessary enforcement, consent management

Agent InterfacesCare Assistant (clinician), Operations Assistant (admin), Compliance Agent (IT/CISO)

Model Hub (LLM-Agnostic)OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable

Event Bus & AutomationsTriggers for care gap alerts, credentialing expirations, prior auth deadlines

Audit & TelemetryEnd-to-end logs, prompt/response archives, cost and latency meters

Admin ConsoleConnectors, schemas, dataset scopes, memory visibility, and policy editing

Why OS Outperforms Typical Integration Hubs

Patient Memory LayerOS: HIPAA-aware, per-patient context | Typical: No unified memory

Runs in Your InfraOS: Your VPC, keys, IAM | Typical: Vendor cloud only

Full Code AccessOS: Source delivered, extensible | Typical: Black box / SDK limits

LLM-AgnosticOS: Swap models freely (incl. local) | Typical: Single-model dependency

Healthcare GovernanceOS: HIPAA/HITECH-ready, minimum-necessary | Typical: Generic role gates

Agent-ReadyOS: Standard care/ops/compliance interfaces | Typical: DIY agent plumbing

Benefits That Drive Impact

CliniciansTimely, contextual support across patients and care settings.

AdministratorsA dependable operations assistant informed by real scheduling and billing data.

Leadership & ITA private, ownable AI foundation—no lock-in, full auditability, HIPAA-ready.

ibl.ai

The ibl.ai platform supplies secure memory and connectors, AI clinical coaching experiences, and CME tracking with analytics.

It designs competency-aligned curricula and issues portable, verifiable proof of certifications — an ownable AI operating system for healthcare.

Experience OS Today

Architecture ReviewMap your EHR/EMR/credentialing and security requirements

Private PilotDeploy in your cloud with your datasets and policies

Schedule a DemoSee how OS unifies clinical data, safeguards PHI, and powers agents—with code you own.

What our partners say about us

Case Studies

Chris Gabriel | Google

Case Studies

Lorena Barba | George Washington University

Case Studies

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)

Case Studies

Chris Gabriel | Google

Case Studies

Lorena Barba | George Washington University

Case Studies

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

Unify your data first — then deploy agents

Agentic OS reasons over a unified knowledge layer. Here's why that ontology comes first, and how it's built.