# OS (Operating System) — Unify your systems of record into a secure memory layer > Source: https://ibl.ai/product/agentic-os Unify your systems of record—SIS/LMS, HRIS, CRM, ERP, EHR/EMR, case and document management—into a secure per-user memory layer that powers agents for any industry. 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. An Ownable AI Operating System. OS by ibl.ai connects your systems of record—SIS/LMS, HRIS, CRM, ERP, EHR/EMR, case and document management—over an MCP-based interoperability layer to assemble a secure, per-user memory. That memory gives your AI agents the right context whichever industry you operate in—so every frontline team gets an assistant that knows the account, the case, or the patient, and every IT leader a compliance-ready platform. Deployed in your infrastructure with your keys and your controls—including full code access. ## For Your Frontline Teams: Context-Rich, Role-Aware Agents ### Unified Entity Memory History, entitlements, open work, and prior contacts for whatever your organization tracks—a learner, an employee, a citizen, a client, a matter, or a patient—federated from your systems of record and made available (with policy guardrails) to that record's agent. ### The Agents Your Teams Use Daily Knowledge retrieval across every connected system, front-line support, case and account assistance, and IT help desk—each citing the source it used. ### Privacy by Design Fine-grained consent and selective disclosure, so an agent answers only from what that user is already permitted to see. ### Result Faster answers, fewer escalations, and less time lost hunting across systems. ## For Operations & Program Owners: Agents That Run the Work ### Operational Context, Not Guesswork Pulls queues, records, budgets, and system logs to draft status reports, summaries, and responses grounded in what actually happened. ### Workflow Automations Compliance reporting, renewal and deadline alerts, and reconciliation workflows—always citing approved policies and procedures. ### Operational Control Department-level policies, versioned prompts, and cost and usage dashboards. ### Result More time on the mission, less on manual coordination and reporting. ## For IT & Security: Own the Stack, Control the Risk ### Runs in Your Environment Deploy on-prem or in your cloud (AWS, Azure, GCP), in GovCloud, or fully air-gapped. 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 & Compliance FERPA, HIPAA/HITECH, SOX, PCI DSS, GDPR, and NIST 800-53 support with SOC 2-aligned controls, RBAC, audit logs, retention, and data residency options. ### Observability & Cost Control Usage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration. ### Result Maximum privacy, predictable cost, and accelerated AI roadmaps—under your control. ## What OS Connects (Examples) ### SIS / LMS Banner, PeopleSoft, Workday Student, Canvas, Blackboard, Brightspace, Moodle ### HRIS / ERP Workday, Oracle, SAP, Microsoft Dynamics ### CRM & Service Salesforce, HubSpot, Slate, ServiceNow, Zendesk ### EHR / EMR Epic, Cerner, Meditech ### Documents & Cases iManage, NetDocuments, OpenText, SharePoint, Clio, Litify ### Identity & Storage Azure AD/Entra, Okta, Google Workspace, OneDrive/SharePoint, S3, GCS ## What's Inside OS (Architecture Highlights) ### MCP Integration Layer Normalizes access to your systems of record via secure adapters ### Entity Memory Layer Per-record knowledge graph + vector index with policy-aware retrieval ### Policy & Guardrails Engine Field-level permissions, PII redaction, consent, rate/usage limits ### Agent Interfaces Standard front-line, operations, and administrative agent surfaces ### Model Hub (LLM-Agnostic) OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable ### Event Bus & Automations Triggers for risk alerts, milestones, and follow-ups ### Audit & Telemetry End-to-end logs, prompt/response archives, cost and latency meters ### Admin Console Connectors, schemas, dataset scopes, memory visibility, and policy editing ## Why OS Outperforms Typical Integration Hubs ### Entity Memory Layer OS: Policy-aware, per-record context | Typical: No unified memory ### Runs in Your Infra OS: Your VPC, keys, IAM | Typical: Vendor cloud only ### Full Code Access OS: Source delivered, extensible | Typical: Black box / SDK limits ### LLM-Agnostic OS: Swap models freely (incl. local) | Typical: Single-model dependency ### Regulated-Industry Governance OS: FERPA/HIPAA/SOX/NIST-ready, selective disclosure | Typical: Generic role gates ### Agent-Ready OS: Standard agent interfaces | Typical: DIY agent plumbing ## Benefits That Drive Impact ### Frontline Teams Timely, contextual help grounded in the systems they already work in. ### Operations & Program Owners A dependable assistant informed by real operational data, not guesswork. ### Leadership & IT A private, ownable AI foundation—no lock-in, full auditability, rapid innovation. ## ibl.ai The ibl.ai platform supplies the secure memory layer and connectors, the agent runtime and governance plane, and the analytics that show what your agents actually did. It runs on your infrastructure, against any model, with the source code delivered to you—an ownable AI operating system for any industry. ## Experience OS Today ### Architecture Review Map your systems of record and security requirements ### Private Pilot Deploy in your cloud with your datasets and policies ### Schedule a Demo See how OS unifies data, safeguards privacy, and powers agents—with code you own. ## By Sector This page has a sector selector. Every sector is listed below with its own URL; where a sector's body differs from the one above, it is reproduced in full — that is the content a visitor sees after choosing that sector. ### Higher Education > Source: https://ibl.ai/product/agentic-os/higher-education Unify SIS, LMS, CRM, and ERP data into a secure student memory layer—powering enrollment, financial aid, advising, and tutoring 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. An Ownable AI Operating System for Higher Education. OS by ibl.ai connects SIS, LMS, CRM, and ERP systems over an MCP-based interoperability layer to assemble a secure, per-user memory. That memory gives your AI agents the right context—so every student gets a tutor, every instructor a teaching assistant, and every administrator a digital aide. Deployed in your infrastructure with your keys and your controls—including full code access. #### For Students: Context-Rich, Personal Tutors ##### Unified Student Memory Advising history, course enrollments, grades, deadlines, accommodations, and career goals—federated from your SIS/LMS/CRM and made available (with policy guardrails) to the student's tutor. ##### Personalized Support Proactive nudges, study plans, and citable answers grounded in course content and institutional policies. ##### Privacy by Design Fine-grained consent and selective disclosure (e.g., hide financial/health fields) for every interaction. ##### Result Faster help, fewer drop-offs, stronger outcomes. #### For Instructors & Chairs: A Real Digital TA ##### Teaching Context, Not Guesswork Pulls rosters, outcomes, rubrics, and prior performance to draft study guides, FAQs, and interventions. ##### Workflow Automations Office-hour triage, assignment hints, and discussion moderation—always citing the course sources you approve. ##### Academic Control Department-level policies, versioned prompts, and oversight dashboards. ##### Result More time for teaching and mentorship, less time on repetitive support. #### For Administrators & IT: Own the Stack, Control the Risk ##### Runs in Your Environment Deploy 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 & Compliance FERPA/GDPR support, SOC 2–aligned controls, RBAC, audit logs, retention, and data residency options. ##### Observability & Cost Control Usage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration. ##### Result Maximum privacy, predictable cost, and accelerated AI roadmaps—under your control. #### What OS Connects (Examples) ##### SIS Ellucian Banner, Oracle PeopleSoft Campus Solutions, Colleague ##### LMS Canvas, Blackboard, Brightspace, Moodle ##### CRM Salesforce, Slate ##### ERP/Finance/HR Workday, Oracle, Microsoft Dynamics ##### Identity & Storage Azure AD/Entra, Okta, Google Workspace, OneDrive/SharePoint, S3, GCS #### What's Inside OS (Architecture Highlights) ##### MCP Integration Layer Normalizes access to SIS/LMS/CRM/ERP via secure adapters ##### Student Memory Layer Per-user knowledge graph + vector index with policy-aware retrieval ##### Policy & Guardrails Engine Field-level permissions, PII redaction, consent, rate/usage limits ##### Agent Interfaces Tutor (student), Teaching Assistant (instructor), Digital Assistant (administrator) ##### Model Hub (LLM-Agnostic) OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable ##### Event Bus & Automations Triggers for risk alerts, degree milestones, advising follow-ups ##### Audit & Telemetry End-to-end logs, prompt/response archives, cost and latency meters ##### Admin Console Connectors, schemas, dataset scopes, memory visibility, and policy editing #### Why OS Outperforms Typical Integration Hubs ##### Student Memory Layer OS: Policy-aware, per-user context | Typical: No unified memory ##### Runs in Your Infra OS: Your VPC, keys, IAM | Typical: Vendor cloud only ##### Full Code Access OS: Source delivered, extensible | Typical: Black box / SDK limits ##### LLM-Agnostic OS: Swap models freely (incl. local) | Typical: Single-model dependency ##### Higher-Ed Governance OS: FERPA-ready, selective disclosure | Typical: Generic role gates ##### Agent-Ready OS: Standard tutor/TA/admin interfaces | Typical: DIY agent plumbing #### Benefits That Drive Impact ##### Students Timely, contextual help across courses and services. ##### Faculty A dependable digital TA informed by the real course and roster data. ##### Leadership & IT A private, ownable AI foundation—no lock-in, full auditability, rapid innovation. #### ibl.ai The ibl.ai platform supplies secure memory and connectors, AI tutoring and TA experiences, and course delivery with analytics. It designs standards-aligned curricula and issues portable, verifiable proof of learning — an ownable AI operating system for education. #### Experience OS Today ##### Architecture Review Map your SIS/LMS/CRM/ERP and security requirements ##### Private Pilot Deploy in your cloud with your datasets and policies ##### Schedule a Demo See how OS unifies data, safeguards privacy, and powers agents—with code you own. ### Corporate > Source: https://ibl.ai/product/agentic-os/corporate Unify HRIS, CRM, ERP, and ticketing data into a secure employee memory layer—powering knowledge search, IT help desk, sales enablement, and customer support 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. An Ownable AI Operating System for the Enterprise. OS by ibl.ai connects HRIS, CRM, ERP, and ticketing systems over an MCP-based interoperability layer to assemble a secure, per-employee memory. That memory gives your AI agents the right context—so every employee gets instant answers from institutional knowledge, every team a help desk, sales, support, and operations agent that knows the account, and every IT leader a compliance-ready platform. Deployed in your infrastructure with your keys and your controls—including full code access. #### For Employees: Answers Grounded in Your Own Systems ##### Unified Employee Memory Role, team, entitlements, open tickets, owned accounts, and prior conversations—federated from your HRIS/CRM/ERP/ticketing and made available (with policy guardrails) to the employee's agent. ##### The Agents Employees Use Daily Knowledge search across every internal system, IT help desk for access and issue resolution, HR for policy and benefits, and meeting recaps with action items—each citing the source it used. ##### Privacy by Design Fine-grained consent and selective disclosure (e.g., hide compensation/health fields), so an agent answers only from what that employee may already see. ##### Result Fewer tickets, faster answers, and less time lost hunting across systems. #### For Team Leads & Operations: Agents That Run the Work ##### Operational Context, Not Guesswork Pulls CRM pipeline, ticket queues, project trackers, and system logs to draft competitive briefs, customer responses, campaign copy, and status reports. ##### Workflow Automations Sales enablement briefs, support ticket triage, marketing campaigns, and reconciliation workflows—always citing approved company sources. ##### Operational Control Department-level policies, versioned prompts, and cost and usage dashboards. ##### Result More time on strategy, less on repetitive coordination and manual reporting. #### For IT & CISO: Own the Stack, Control the Risk ##### Runs in Your Environment Deploy 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 & Compliance SOC 2/SOX/HIPAA support, RBAC, audit logs, retention policies, and data residency options. ##### Observability & Cost Control Usage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration. ##### Result Maximum privacy, predictable cost, and accelerated AI roadmaps—under your control. #### What OS Connects (Examples) ##### HRIS Workday, SAP SuccessFactors, BambooHR, ADP ##### LMS Cornerstone, Docebo, Absorb, Degreed ##### CRM Salesforce, HubSpot, Microsoft Dynamics 365 ##### ERP/Finance SAP, Oracle, NetSuite ##### Identity & Storage Azure AD/Entra, Okta, Google Workspace, OneDrive/SharePoint, S3, GCS #### What's Inside OS (Architecture Highlights) ##### MCP Integration Layer Normalizes access to HRIS/LMS/CRM/ERP via secure adapters ##### Employee Memory Layer Per-employee knowledge graph + vector index with policy-aware retrieval ##### Policy & Guardrails Engine Field-level permissions, PII redaction, consent, rate/usage limits ##### Agent Interfaces Coach (employee), Training Assistant (L&D manager), Compliance Agent (IT/CISO) ##### Model Hub (LLM-Agnostic) OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable ##### Event Bus & Automations Triggers for compliance deadlines, certification expirations, onboarding milestones ##### Audit & Telemetry End-to-end logs, prompt/response archives, cost and latency meters ##### Admin Console Connectors, schemas, dataset scopes, memory visibility, and policy editing #### Why OS Outperforms Typical Integration Hubs ##### Employee Memory Layer OS: Policy-aware, per-employee context | Typical: No unified memory ##### Runs in Your Infra OS: Your VPC, keys, IAM | Typical: Vendor cloud only ##### Full Code Access OS: Source delivered, extensible | Typical: Black box / SDK limits ##### LLM-Agnostic OS: Swap models freely (incl. local) | Typical: Single-model dependency ##### Enterprise Governance OS: SOC 2/SOX-ready, selective disclosure | Typical: Generic role gates ##### Agent-Ready OS: Standard coach/assistant/compliance interfaces | Typical: DIY agent plumbing #### Benefits That Drive Impact ##### Employees Timely, contextual coaching across roles and departments. ##### L&D Teams A dependable training assistant informed by real competency and performance data. ##### Leadership & IT A private, ownable AI foundation—no lock-in, full auditability, rapid innovation. #### ibl.ai The ibl.ai platform supplies secure memory and connectors, AI coaching experiences, and training delivery with analytics. It designs competency-aligned curricula and issues portable, verifiable proof of skills — an ownable AI operating system for workforce development. #### Experience OS Today ##### Architecture Review Map your HRIS/LMS/CRM/ERP and security requirements ##### Private Pilot Deploy in your cloud with your datasets and policies ##### Schedule a Demo See how OS unifies workforce data, safeguards privacy, and powers agents—with code you own. ### Small Business > Source: https://ibl.ai/product/agentic-os/small-business Unify accounting, point-of-sale, CRM, and scheduling data into a secure business memory layer—powering customer support, bookkeeping, invoicing, and marketing 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. An Ownable AI Operating System for Small Businesses. OS by ibl.ai connects your accounting, CRM, point-of-sale, and scheduling tools over an MCP-based interoperability layer to assemble a secure, unified business memory. That memory gives your AI agents the right context—so every customer gets a fast response, every owner an intelligent back-office assistant, and every business a compliance-ready platform. Set up in days, not quarters, with flat-rate pricing and unlimited users—deployed on your servers or hosted, with full code access. #### For Customers: Context-Rich, Always-On Support ##### Unified Business Memory Order history, appointments, invoices, support tickets, and contact preferences—federated from your accounting, CRM, and point-of-sale tools and made available (with policy guardrails) to the customer's support agent. ##### Personalized Service Proactive lead follow-up, appointment reminders, and citable answers grounded in your product catalog and business policies. ##### Privacy by Design Fine-grained consent and selective disclosure (e.g., hide payment/contact fields) for every interaction. ##### Result Faster replies, fewer missed leads, stronger customer loyalty. #### For Owners & Managers: An Intelligent Back-Office Assistant ##### Business Context, Not Guesswork Pulls bank transactions, invoices, payroll records, and sales data to draft bookkeeping entries, cash-flow forecasts, and marketing content. ##### Workflow Automations Invoice reminders, payroll prep, and social-post scheduling—always citing approved business templates and tax rules. ##### Business Control Owner-level policies, versioned prompts, and business-insights dashboards. ##### Result More time for customers and growth, less time on after-hours admin work. #### For Owners Without an IT Team: Own Your Stack, Control the Risk ##### Runs Where You Choose Deploy on your own servers or let us host it. Your keys, your data, your controls—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 & Compliance Data-security controls, RBAC, audit logs, retention policies, and data residency options—answering your biggest AI hesitation. ##### Predictable, Flat-Rate Pricing Unlimited users with no per-seat fees that punish growth, plus usage telemetry and model-cost visibility. ##### Result Maximum data security, predictable cost, and AI adoption in days—under your control. #### What OS Connects (Examples) ##### Accounting QuickBooks, Xero, FreshBooks, Wave ##### Payments & POS Square, Stripe, PayPal, Shopify ##### CRM & Marketing HubSpot, Mailchimp, Canva ##### Payroll & Scheduling Gusto, Calendly, DocuSign ##### Identity & Storage Google Workspace, Microsoft 365, OneDrive, Dropbox, S3 #### What's Inside OS (Architecture Highlights) ##### MCP Integration Layer Normalizes access to accounting/POS/CRM/scheduling tools via secure adapters ##### Business Memory Layer Unified knowledge graph + vector index with policy-aware retrieval ##### Policy & Guardrails Engine Field-level permissions, PII redaction, consent, rate/usage limits ##### Agent Interfaces Support Agent (customer), Back-Office Assistant (owner), Compliance Agent (manager) ##### Model Hub (LLM-Agnostic) OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable ##### Event Bus & Automations Triggers for overdue invoices, payroll deadlines, lead follow-ups ##### Audit & Telemetry End-to-end logs, prompt/response archives, cost and latency meters ##### Admin Console Connectors, schemas, dataset scopes, memory visibility, and policy editing #### Why OS Outperforms Typical Integration Hubs ##### Business Memory Layer OS: Policy-aware, unified context | Typical: No unified memory ##### Runs Where You Choose OS: Your servers or hosted, your keys | Typical: Vendor cloud only ##### Full Code Access OS: Source delivered, extensible | Typical: Black box / SDK limits ##### LLM-Agnostic OS: Swap models freely (incl. local) | Typical: Single-model dependency ##### Flat-Rate Pricing OS: Unlimited users, no per-seat fees | Typical: Per-seat fees that punish growth ##### Agent-Ready OS: Standard support/back-office/compliance interfaces | Typical: DIY agent plumbing #### Benefits That Drive Impact ##### Customers Timely, contextual support across orders and appointments. ##### Owners & Staff A dependable back-office assistant informed by real accounting and sales data. ##### The Business A private, ownable AI foundation—no lock-in, full auditability, set up in days. #### ibl.ai The ibl.ai platform supplies secure memory and connectors, AI assistant experiences, and training delivery with analytics. It designs role-aligned onboarding and issues portable, verifiable proof of skills — an ownable AI operating system for small businesses. #### Experience OS Today ##### Setup Review Map your accounting/POS/CRM tools and security requirements ##### Private Pilot Deploy on your servers or hosted with your datasets and policies ##### Schedule a Demo See how OS unifies business data, safeguards security, and powers agents—with code you own. ### K-12 > Source: https://ibl.ai/product/agentic-os/k12 Unify SIS, LMS, rostering, and assessment data into a secure student memory layer—powering tutoring, lesson planning, assessment, and family communication 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. An Ownable AI Operating System for K-12 Education. OS by ibl.ai connects SIS, LMS, rostering, and assessment systems over an MCP-based interoperability layer to assemble a secure, per-student memory. That memory gives your AI agents the right context—so every student gets a personalized tutor, every teacher an intelligent assistant, and every district administrator a data-driven aide. Deployed in your infrastructure with your keys and your controls—including full code access. #### For K-12 Students: Personalized, Age-Appropriate Tutors ##### Unified Student Memory Grade history, course enrollments, IEP/504 plans, assessment scores, and learning goals—federated from your SIS/LMS and made available (with policy guardrails) to the student's tutor. ##### Personalized Learning Adaptive practice, reading-level-adjusted explanations, and citable answers grounded in approved curriculum and state standards. ##### Safety by Design Age-appropriate content filters, parental consent controls, and selective disclosure for every interaction. ##### Result Better engagement, improved proficiency, stronger equity outcomes. #### For Teachers: A Reliable Digital Teaching Assistant ##### Classroom Context, Not Guesswork Pulls rosters, standards alignments, assessment data, and prior performance to draft lesson support, differentiated activities, and interventions. ##### Workflow Automations Parent communication drafts, progress report summaries, and formative assessment hints—always citing approved curricular sources. ##### Instructional Control School- and district-level policies, versioned prompts, and oversight dashboards. ##### Result More time for instruction and relationships, less time on paperwork. #### For District IT: Own the Stack, Protect Student Data ##### Runs in Your Environment Deploy 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 & Compliance COPPA/CIPA/FERPA support, state student privacy laws, RBAC, audit logs, retention, and data residency options. ##### Observability & Cost Control Usage telemetry, model costs, performance traces, and content-safety tools for safe deployment. ##### Result Maximum student privacy, predictable cost, and responsible AI adoption—under your control. #### What OS Connects (Examples) ##### SIS PowerSchool, Infinite Campus, Skyward, Aeries ##### LMS Google Classroom, Canvas, Schoology, Brightspace ##### Rostering Clever, ClassLink, OneRoster ##### Assessments NWEA MAP, Renaissance Star, iReady, state testing platforms ##### Identity & Storage Google Workspace for Education, Microsoft 365 Education, Clever SSO #### What's Inside OS (Architecture Highlights) ##### MCP Integration Layer Normalizes access to SIS/LMS/rostering/assessment systems via secure adapters ##### Student Memory Layer Per-student knowledge graph + vector index with policy-aware, age-appropriate retrieval ##### Policy & Guardrails Engine Field-level permissions, PII redaction, parental consent, content-safety filters ##### Agent Interfaces Tutor (student), Teaching Assistant (teacher), Admin Assistant (district staff) ##### Model Hub (LLM-Agnostic) OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable ##### Event Bus & Automations Triggers for attendance alerts, grade milestones, intervention referrals ##### Audit & Telemetry End-to-end logs, prompt/response archives, cost and latency meters ##### Admin Console Connectors, schemas, dataset scopes, memory visibility, and policy editing #### Why OS Outperforms Typical Integration Hubs ##### Student Memory Layer OS: Policy-aware, per-student context | Typical: No unified memory ##### Runs in Your Infra OS: Your VPC, keys, IAM | Typical: Vendor cloud only ##### Full Code Access OS: Source delivered, extensible | Typical: Black box / SDK limits ##### LLM-Agnostic OS: Swap models freely (incl. local) | Typical: Single-model dependency ##### K-12 Governance OS: COPPA/CIPA/FERPA-ready, parental consent | Typical: Generic role gates ##### Agent-Ready OS: Standard tutor/TA/admin interfaces | Typical: DIY agent plumbing #### Benefits That Drive Impact ##### Students Personalized, age-appropriate help across subjects and grade levels. ##### Teachers A dependable teaching assistant informed by real student data and curriculum standards. ##### District Leaders & IT A private, ownable AI foundation—no lock-in, full auditability, student-safe by design. #### ibl.ai The ibl.ai platform supplies secure memory and connectors, AI tutoring experiences, and adaptive practice with analytics. It designs standards-aligned curricula and issues portable, verifiable proof of learning — an ownable AI operating system for K-12 education. #### Experience OS Today ##### Architecture Review Map your SIS/LMS/rostering and security requirements ##### Private Pilot Deploy in your cloud with your datasets and policies ##### Schedule a Demo See how OS unifies district data, protects student privacy, and powers agents—with code you own. ### Government > Source: https://ibl.ai/product/agentic-os/government Unify case management, HRIS, and program data into a secure agency memory layer—powering citizen services, compliance, procurement, and constituent communication 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. An Ownable AI Operating System for Government & Public Sector. OS by ibl.ai connects case management, HRIS, and program systems over an MCP-based interoperability layer to assemble a secure, per-user memory. That memory gives your AI agents the right context—so every constituent inquiry reaches a citizen-services agent, every program manager gets compliance, budget, and procurement support, and every agency IT leader a platform that meets federal standards. Deployed in your infrastructure—GovCloud, on-prem, or IL4/IL5 enclaves—with your keys and your controls, including full code access. #### For Citizens & Staff: Context-Rich Public Services ##### Unified Agency Memory Case history, permits and filings, clearance levels, role assignments, and prior contacts—federated from your case management and HRIS systems and made available (with policy guardrails) to the agent. ##### The Agents Serving Citizens and Staff Citizen services for inquiries, permits, and case status; knowledge retrieval across policy and SOPs; constituent communication for outreach; and IT help desk for access—each citing the regulation or policy it used. ##### Security by Design Classification-aware access controls, need-to-know enforcement, and selective disclosure for every interaction. ##### Result Shorter queues, faster case resolution, and fewer escalations to staff. #### For Program Managers: An Intelligent Program Assistant ##### Program Context, Not Guesswork Pulls case backlogs, budget lines, procurement records, and compliance status to draft status reports, spend summaries, and audit responses. ##### Workflow Automations Regulatory reporting, budget tracking, vendor and procurement guidance, and legislative bill tracking—always citing approved agency policies and regulations. ##### Program Control Agency-level policies, versioned content, and performance dashboards. ##### Result More time for mission delivery, less time on manual compliance and reporting. #### For Agency IT: Own the Stack, Meet Federal Standards ##### Runs in Your Environment Deploy in GovCloud, on-prem, or IL4/IL5 enclaves. 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 & Compliance NIST 800-53 support, NIST 800-53 controls, RBAC, audit logs, retention, and data classification options. ##### Observability & Cost Control Usage telemetry, model costs, performance traces, and security testing tools for safe deployment. ##### Result Maximum security, ATO-ready controls, and accelerated AI adoption—under your authority. #### What OS Connects (Examples) ##### HRIS USA Staffing, DCPDS, Workday Government ##### LMS Cornerstone for Government, Percipio, FedVTE, AgLearn ##### Case Management ServiceNow Gov, Salesforce Government Cloud ##### ERP/Finance SAP S/4HANA Public Sector, Oracle Federal Financials ##### Identity & Storage PIV/CAC via Azure AD/Entra, Okta for Government, GovCloud S3, DISA storage #### What's Inside OS (Architecture Highlights) ##### MCP Integration Layer Normalizes access to HRIS/LMS/case-management/ERP via secure adapters ##### Workforce Memory Layer Per-user knowledge graph + vector index with classification-aware retrieval ##### Policy & Guardrails Engine Field-level permissions, PII redaction, data classification, need-to-know enforcement ##### Agent Interfaces Coach (workforce), Program Assistant (manager), Compliance Agent (IT/security) ##### Model Hub (LLM-Agnostic) OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable, air-gap compatible ##### Event Bus & Automations Triggers for certification expirations, mandate deadlines, compliance alerts ##### Audit & Telemetry End-to-end logs, prompt/response archives, cost and latency meters ##### Admin Console Connectors, schemas, dataset scopes, memory visibility, and policy editing #### Why OS Outperforms Typical Integration Hubs ##### Workforce Memory Layer OS: Classification-aware, per-user context | Typical: No unified memory ##### Runs in Your Infra OS: GovCloud, on-prem, IL4/IL5 | Typical: Commercial cloud only ##### Full Code Access OS: Source delivered, extensible | Typical: Black box / SDK limits ##### LLM-Agnostic OS: Swap models freely (incl. air-gapped) | Typical: Single-model dependency ##### Federal Governance OS: NIST 800-53 aligned, NIST 800-53 | Typical: Generic role gates ##### Agent-Ready OS: Standard coach/assistant/compliance interfaces | Typical: DIY agent plumbing #### Benefits That Drive Impact ##### Workforce Timely, contextual training and support across agencies and programs. ##### Program Managers A dependable assistant informed by real workforce and compliance data. ##### Agency Leadership & IT A private, ownable AI foundation—no lock-in, full auditability, ATO-ready. #### ibl.ai The ibl.ai platform supplies secure memory and connectors, AI coaching experiences, and training delivery with analytics. It designs competency-aligned curricula and issues portable, verifiable proof of skills — an ownable AI operating system for government workforce development. #### Experience OS Today ##### Architecture Review Map your HRIS/LMS/case-management and security requirements ##### Private Pilot Deploy in GovCloud or on-prem with your datasets and policies ##### Schedule a Demo See how OS unifies agency data, meets federal standards, and powers agents—with code you own. ### Legal > Source: https://ibl.ai/product/agentic-os/legal Unify document management, case management, and billing data into a secure matter memory layer—powering case research, contract review, discovery, and docket management 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. An Ownable AI Operating System for Law Firms & Legal Departments. OS by ibl.ai connects document management, case management, billing, and research systems over an MCP-based interoperability layer to assemble a secure, per-matter memory. That memory gives your AI agents the right context—so every attorney gets a research assistant, every paralegal a drafting aide, and every managing partner a practice intelligence tool. Deployed in your infrastructure with your keys and your controls—including full code access. #### For Attorneys: Context-Rich, Matter-Aware Assistants ##### Unified Matter Memory Case history, filings, contracts, correspondence, billing entries, and client preferences—federated from your DMS/CMS/billing and made available (with policy guardrails) to the attorney's assistant. ##### Personalized Research Proactive case law suggestions, citation checking, and citable answers grounded in your firm's work product and approved legal databases. ##### Privilege by Design Ethical wall enforcement, conflict-of-interest checks, and selective disclosure controls for every interaction. ##### Result Faster research, fewer missed precedents, stronger case preparation. #### For Paralegals & Practice Managers: An Intelligent Case Assistant ##### Case Context, Not Guesswork Pulls docket calendars, document histories, billing records, and opposing counsel data to draft summaries, timelines, and status reports. ##### Workflow Automations Filing deadline alerts, document assembly, and time-entry drafts—always citing approved firm templates and jurisdictional rules. ##### Practice Control Practice-group policies, versioned templates, and workload dashboards. ##### Result More time for substantive legal work, less time on administrative tasks. #### For IT & Managing Partners: Own the Stack, Control the Risk ##### Runs in Your Environment Deploy 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 & Compliance ABA ethics support, privilege protections, RBAC, audit logs, retention policies, and data residency options. ##### Observability & Cost Control Usage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration. ##### Result Maximum confidentiality, predictable cost, and accelerated AI adoption—under your control. #### What OS Connects (Examples) ##### DMS iManage, NetDocuments, OpenText ##### Case Management Clio, Litify, Legal Tracker, TeamConnect ##### Billing & Time Aderant, Elite 3E, TimeSolv, Clio Manage ##### Legal Research Westlaw, LexisNexis, vLex, Fastcase ##### Identity & Storage Azure AD/Entra, Okta, OneDrive/SharePoint, S3, GCS #### What's Inside OS (Architecture Highlights) ##### MCP Integration Layer Normalizes access to DMS/CMS/billing/research via secure adapters ##### Matter Memory Layer Per-matter knowledge graph + vector index with privilege-aware retrieval ##### Policy & Guardrails Engine Field-level permissions, PII redaction, ethical walls, conflict checks ##### Agent Interfaces Research Assistant (attorney), Case Assistant (paralegal), Practice Intelligence (partner) ##### Model Hub (LLM-Agnostic) OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable ##### Event Bus & Automations Triggers for filing deadlines, statute expirations, billing milestones ##### Audit & Telemetry End-to-end logs, prompt/response archives, cost and latency meters ##### Admin Console Connectors, schemas, dataset scopes, memory visibility, and policy editing #### Why OS Outperforms Typical Integration Hubs ##### Matter Memory Layer OS: Privilege-aware, per-matter context | Typical: No unified memory ##### Runs in Your Infra OS: Your VPC, keys, IAM | Typical: Vendor cloud only ##### Full Code Access OS: Source delivered, extensible | Typical: Black box / SDK limits ##### LLM-Agnostic OS: Swap models freely (incl. local) | Typical: Single-model dependency ##### Legal Governance OS: Ethical walls, privilege protection | Typical: Generic role gates ##### Agent-Ready OS: Standard research/case/practice interfaces | Typical: DIY agent plumbing #### Benefits That Drive Impact ##### Attorneys Faster research and drafting grounded in firm knowledge. ##### Paralegals & Staff A dependable case assistant informed by real matter and billing data. ##### Managing Partners & IT A private, ownable AI foundation—no lock-in, full auditability, privilege-safe. #### ibl.ai The ibl.ai platform supplies secure memory and connectors, AI research and coaching experiences, and CLE tracking with analytics. It designs training curricula and issues portable, verifiable proof of competency — an ownable AI operating system for legal practice. #### Experience OS Today ##### Architecture Review Map your DMS/CMS/billing and security requirements ##### Private Pilot Deploy in your cloud with your datasets and policies ##### Schedule a Demo See how OS unifies firm data, safeguards privilege, and powers agents—with code you own. ### Financial Services > Source: https://ibl.ai/product/agentic-os/financial-services Unify core banking, trading, CRM, and compliance data into a secure client memory layer—powering KYC/AML, fraud detection, risk assessment, and client advisory 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. An Ownable AI Operating System for Financial Services. OS by ibl.ai connects core banking, trading, CRM, and compliance systems over an MCP-based interoperability layer to assemble a secure, per-client memory. That memory gives your AI agents the right context—so every advisor gets a portfolio assistant, every compliance officer an intelligent monitor, and every IT leader a regulation-ready platform. Deployed in your infrastructure with your keys and your controls—including full code access. #### For Advisors & Relationship Managers: Context-Rich Client Intelligence ##### Unified Client Memory Account history, portfolio positions, risk profiles, KYC records, and financial goals—federated from your core systems/CRM and made available (with policy guardrails) to the advisor's assistant. ##### Personalized Insights Proactive portfolio alerts, product suitability checks, and citable answers grounded in your firm's research and regulatory guidelines. ##### Confidentiality by Design Information barriers, need-to-know enforcement, and selective disclosure controls for every interaction. ##### Result Faster client responses, better suitability, stronger relationships. #### For Compliance & Risk Officers: An Intelligent Monitoring Assistant ##### Regulatory Context, Not Guesswork Pulls transaction logs, client profiles, regulatory filings, and risk metrics to draft surveillance reports, SAR narratives, and audit responses. ##### Workflow Automations KYC renewal alerts, regulatory filing deadlines, and exception monitoring—always citing approved compliance policies and regulations. ##### Program Control Division-level policies, versioned procedures, and risk dashboards. ##### Result More time for risk analysis, less time on manual surveillance and reporting. #### For IT & CTO: Own the Stack, Meet Regulatory Standards ##### Runs in Your Environment Deploy 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 & Compliance SEC/FINRA/OCC support, SOX controls, RBAC, audit logs, retention policies, and data residency options. ##### Observability & Cost Control Usage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration. ##### Result Maximum data security, exam-ready controls, and accelerated AI adoption—under your control. #### What OS Connects (Examples) ##### Core Banking FIS, Fiserv, Temenos, Jack Henry ##### Trading & Markets Bloomberg, Refinitiv, Charles River, Aladdin ##### CRM Salesforce Financial Services Cloud, Microsoft Dynamics 365 ##### Compliance & Risk Actimize, Compliance.ai, Archer, MetricStream ##### Identity & Storage Azure AD/Entra, Okta, OneDrive/SharePoint, S3, GCS #### What's Inside OS (Architecture Highlights) ##### MCP Integration Layer Normalizes access to core banking/trading/CRM/compliance via secure adapters ##### Client Memory Layer Per-client knowledge graph + vector index with regulation-aware retrieval ##### Policy & Guardrails Engine Field-level permissions, PII redaction, information barriers, need-to-know enforcement ##### Agent Interfaces Advisor Assistant (RM), Compliance Monitor (officer), Risk Analyst (CRO) ##### Model Hub (LLM-Agnostic) OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable ##### Event Bus & Automations Triggers for KYC renewals, margin alerts, regulatory filing deadlines ##### Audit & Telemetry End-to-end logs, prompt/response archives, cost and latency meters ##### Admin Console Connectors, schemas, dataset scopes, memory visibility, and policy editing #### Why OS Outperforms Typical Integration Hubs ##### Client Memory Layer OS: Regulation-aware, per-client context | Typical: No unified memory ##### Runs in Your Infra OS: Your VPC, keys, IAM | Typical: Vendor cloud only ##### Full Code Access OS: Source delivered, extensible | Typical: Black box / SDK limits ##### LLM-Agnostic OS: Swap models freely (incl. local) | Typical: Single-model dependency ##### Financial Governance OS: SEC/FINRA-ready, information barriers | Typical: Generic role gates ##### Agent-Ready OS: Standard advisor/compliance/risk interfaces | Typical: DIY agent plumbing #### Benefits That Drive Impact ##### Advisors Timely, contextual client intelligence across products and accounts. ##### Compliance & Risk A dependable monitoring assistant informed by real transaction and regulatory data. ##### Leadership & IT A private, ownable AI foundation—no lock-in, full auditability, exam-ready. #### ibl.ai The ibl.ai platform supplies secure memory and connectors, AI advisory and coaching experiences, and compliance training with analytics. It designs regulation-aligned curricula and issues portable, verifiable proof of certifications — an ownable AI operating system for financial services. #### Experience OS Today ##### Architecture Review Map your core banking/trading/CRM and security requirements ##### Private Pilot Deploy in your cloud with your datasets and policies ##### Schedule a Demo See how OS unifies institutional data, meets regulatory standards, and powers agents—with code you own. ### Healthcare > Source: https://ibl.ai/product/agentic-os/healthcare 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. 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 Memory Medical 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 Support Proactive care gap alerts, drug interaction checks, and citable answers grounded in clinical guidelines and institutional protocols. ##### Privacy by Design HIPAA minimum-necessary enforcement, role-based access controls, and selective disclosure for every interaction. ##### Result Faster clinical decisions, fewer missed findings, better patient outcomes. #### For Administrators: An Intelligent Operations Assistant ##### Operational Context, Not Guesswork Pulls scheduling data, credentialing records, billing codes, and utilization metrics to draft reports, flag bottlenecks, and streamline workflows. ##### Workflow Automations Credentialing renewal alerts, prior authorization tracking, and denial management—always citing approved payer policies and CMS guidelines. ##### Program Control Department-level policies, versioned protocols, and performance dashboards. ##### Result More time for patient care coordination, less time on administrative burden. #### For IT & CISO: Own the Stack, Meet Healthcare Standards ##### Runs in Your Environment Deploy 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 & Compliance HIPAA/HITECH support, SOC 2 controls, RBAC, audit logs, retention policies, and data residency options. ##### Observability & Cost Control Usage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration. ##### Result Maximum PHI protection, audit-ready controls, and accelerated AI adoption—under your control. #### What OS Connects (Examples) ##### EHR/EMR Epic, Cerner (Oracle Health), MEDITECH, Allscripts ##### Patient Portals MyChart, FollowMyHealth, Athenahealth ##### Credentialing Cactus, Modio Health, symplr, VerityStream ##### Billing & Revenue Cycle Waystar, Availity, Change Healthcare, R1 RCM ##### Identity & Storage Azure AD/Entra, Okta, OneDrive/SharePoint, S3, GCS #### What's Inside OS (Architecture Highlights) ##### MCP Integration Layer Normalizes access to EHR/portal/credentialing/billing via secure adapters ##### Patient Memory Layer Per-patient knowledge graph + vector index with HIPAA-aware retrieval ##### Policy & Guardrails Engine Field-level permissions, PHI redaction, minimum-necessary enforcement, consent management ##### Agent Interfaces Care Assistant (clinician), Operations Assistant (admin), Compliance Agent (IT/CISO) ##### Model Hub (LLM-Agnostic) OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable ##### Event Bus & Automations Triggers for care gap alerts, credentialing expirations, prior auth deadlines ##### Audit & Telemetry End-to-end logs, prompt/response archives, cost and latency meters ##### Admin Console Connectors, schemas, dataset scopes, memory visibility, and policy editing #### Why OS Outperforms Typical Integration Hubs ##### Patient Memory Layer OS: HIPAA-aware, per-patient context | Typical: No unified memory ##### Runs in Your Infra OS: Your VPC, keys, IAM | Typical: Vendor cloud only ##### Full Code Access OS: Source delivered, extensible | Typical: Black box / SDK limits ##### LLM-Agnostic OS: Swap models freely (incl. local) | Typical: Single-model dependency ##### Healthcare Governance OS: HIPAA/HITECH-ready, minimum-necessary | Typical: Generic role gates ##### Agent-Ready OS: Standard care/ops/compliance interfaces | Typical: DIY agent plumbing #### Benefits That Drive Impact ##### Clinicians Timely, contextual support across patients and care settings. ##### Administrators A dependable operations assistant informed by real scheduling and billing data. ##### Leadership & IT A 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 Review Map your EHR/EMR/credentialing and security requirements ##### Private Pilot Deploy in your cloud with your datasets and policies ##### Schedule a Demo See how OS unifies clinical data, safeguards PHI, and powers agents—with code you own. --- *[View on ibl.ai](https://ibl.ai/product/agentic-os)*