# Blackboard Learn + Agentic OS Integration > Source: https://ibl.ai/resources/integrations/blackboard-agentic-os *Deploy purpose-built AI agents directly inside Blackboard Learn — on your infrastructure, under your control.* Blackboard Learn powers millions of learners across higher education and enterprise training. By integrating ibl.ai Agentic OS, institutions can layer intelligent, role-specific AI agents onto their existing Blackboard environment without replacing it. Agentic OS connects to Blackboard via LTI 1.3 and REST APIs, enabling agents to read course data, respond to learner events, and trigger automated workflows in real time. Every agent runs on your own infrastructure — no shared models, no data leaving your environment. The result is a Blackboard experience that feels AI-native: proactive nudges, automated grading support, personalized content delivery, and institutional analytics — all governed by your policies and fully FERPA-compliant. ## Capabilities ### Purpose-Built AI Agents in Blackboard Deploy agents with defined roles — advisor, tutor, retention coach — directly inside Blackboard courses and dashboards. No generic chatbots; every agent has a specific job. ### Real-Time Learner Event Processing Agents respond to Blackboard activity events — missed deadlines, low quiz scores, inactivity — and trigger personalized interventions automatically, without manual monitoring. ### Automated Grade Passback AI-assisted assessments and agent-evaluated submissions pass grades directly back to the Blackboard gradebook via LTI Advantage Assignments and Grades Service. ### Institution-Owned Agent Infrastructure All agents, models, and interaction data run on your infrastructure. ibl.ai never has access to your learner data. Full compliance with FERPA, HIPAA, and SOC 2 by design. ### Cross-System Workflow Orchestration Agentic OS agents can connect Blackboard with Banner, PeopleSoft, Salesforce, and other institutional systems — orchestrating multi-step workflows across your entire tech stack. ### Institutional Analytics and Agent Observability Track agent performance, learner engagement trends, and intervention outcomes in a unified dashboard. All logs stay on your infrastructure for full auditability. ## Setup ### Step 1: Provision Agentic OS on Your Infrastructure (~2–4 hours) Deploy the Agentic OS runtime on your cloud environment or on-premise servers using ibl.ai's deployment packages. Supports AWS, Azure, GCP, and private data centers. Requirements: - Kubernetes cluster or Docker Compose environment - Minimum 8 vCPU, 32 GB RAM for production - S3-compatible object storage - PostgreSQL 14+ database ### Step 2: Register Agentic OS as an LTI 1.3 Tool in Blackboard (~30–60 minutes) In Blackboard's Administrator Panel, register ibl.ai Agentic OS as an LTI Advantage tool. Input the OIDC login URL, launch URL, and public JWKS endpoint provided by your Agentic OS instance. Requirements: - Blackboard Learn SaaS or self-hosted (3900.x+) - System Administrator access in Blackboard - Agentic OS OIDC and JWKS endpoint URLs ### Step 3: Configure Blackboard REST API Credentials (~30 minutes) Create a Blackboard REST API application in the Developer Portal and grant it the required scopes. Enter the client ID and secret into the Agentic OS admin console to enable bidirectional data sync. Requirements: - Blackboard Developer Portal account - API scopes: courses, users, grades, content - Agentic OS admin console access ### Step 4: Configure SSO and Identity Mapping (~1–2 hours) Connect your institution's identity provider (SAML 2.0 or OIDC) to Agentic OS. Map Blackboard user roles to Agentic OS agent access tiers to ensure agents respect institutional role boundaries. Requirements: - SAML 2.0 or OIDC-compatible IdP (e.g., Shibboleth, Azure AD, Okta) - Blackboard user role taxonomy - Agentic OS identity configuration panel ### Step 5: Deploy and Configure AI Agents (~2–4 hours) Select and configure purpose-built agents from the Agentic OS catalog — such as a Course Advisor Agent or Retention Alert Agent. Assign each agent to specific Blackboard courses or institution-wide roles. Requirements: - Agentic OS agent catalog access - Course or department scope definitions - Agent configuration and prompt governance settings ### Step 6: Test, Monitor, and Go Live (~1–2 days) Run end-to-end tests using sandbox Blackboard courses. Validate data flows, agent responses, and grade passback. Enable production traffic and monitor agent activity via the Agentic OS observability dashboard. Requirements: - Blackboard sandbox or test environment - Agentic OS observability dashboard - Institutional sign-off on data governance policy ## Technical Requirements **Blackboard Learn Requirements:** - Blackboard Learn SaaS or self-hosted version 3900.x or later - LTI Advantage (1.3) enabled on the Blackboard instance - Blackboard REST API v3 access with admin-level application registration - System Administrator credentials for tool and API configuration - Blackboard Developer Portal account for REST API app registration **Agentic OS Infrastructure Requirements:** - Kubernetes 1.24+ or Docker Compose 2.x environment - Minimum 8 vCPU and 32 GB RAM for production deployment - PostgreSQL 14+ for agent state and interaction storage - S3-compatible object storage (AWS S3, MinIO, Azure Blob) - TLS-terminated ingress with a publicly resolvable domain for LTI callbacks - Outbound HTTPS access to Blackboard Learn REST API endpoints **Identity and Security Requirements:** - SAML 2.0 or OIDC-compatible identity provider for SSO - Institutional role taxonomy mapped to Agentic OS access tiers - Data Processing Agreement (DPA) executed with ibl.ai - Network firewall rules permitting LTI and API traffic between systems - Encryption at rest and in transit enforced on all Agentic OS storage ## FAQ **Q: Does the Blackboard Learn and Agentic OS integration require replacing our existing LMS?** No. Agentic OS integrates with Blackboard Learn as a connected layer using LTI 1.3 and REST APIs. Your Blackboard environment remains in place, and AI agents are added on top of it without disrupting existing courses, content, or workflows. **Q: Where does learner data go when Agentic OS agents are active in Blackboard?** All learner data stays on your institution's infrastructure. Agentic OS is deployed on your own servers or cloud environment. ibl.ai does not have access to your Blackboard data, and no learner information is sent to shared or third-party AI infrastructure. **Q: Is this integration FERPA compliant?** Yes. Because Agentic OS runs entirely on customer-owned infrastructure and ibl.ai never accesses learner data, the integration is FERPA-compliant by design. ibl.ai also executes a Data Processing Agreement and supports SOC 2 and HIPAA compliance requirements. **Q: Which versions of Blackboard Learn are supported?** The integration supports Blackboard Learn SaaS and self-hosted deployments running version 3900.x or later with LTI Advantage enabled. Contact ibl.ai support if you are running an older version to discuss compatibility options. **Q: Can Agentic OS agents connect Blackboard with other systems like Banner or PeopleSoft?** Yes. Agentic OS is designed for cross-system orchestration. Agents can connect Blackboard with SIS platforms like Banner and PeopleSoft, HR systems, CRMs, and other institutional tools — enabling multi-step automated workflows across your entire technology stack. **Q: How long does it take to deploy the Blackboard and Agentic OS integration?** A standard deployment takes 3–5 business days from infrastructure provisioning to go-live, depending on your environment complexity and the number of agents being configured. ibl.ai provides implementation support throughout the process. **Q: Can faculty and administrators customize how AI agents behave in their Blackboard courses?** Yes. Agentic OS provides a governance layer where administrators set institution-wide policies, and faculty can configure agent behavior within those boundaries — including tone, scope, escalation rules, and which course materials agents can reference. **Q: What happens to our AI agents if we decide to stop using ibl.ai?** Because Agentic OS runs on your infrastructure and you own the agent code, data, and configuration, you retain full control. There is no vendor lock-in — your agents and all associated data remain yours regardless of your relationship with ibl.ai.