Deploy purpose-built AI agents directly inside Blackboard Learn β 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 β 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 β all governed by your policies and fully FERPA-compliant.
Agentic OS connects to Blackboard Learn through a secure middleware layer using LTI 1.3 for tool launches and Blackboard REST APIs for data access. Agents are deployed on customer-owned infrastructure and communicate bidirectionally with Blackboard, enabling real-time event handling and batch analytics processing.
Handles secure tool launches from Blackboard into Agentic OS agent interfaces, passing user context and course data
LTI Advantage, OAuth 2.0, JWKSReads and writes course, user, grade, and content data between Blackboard and the Agentic OS agent runtime
Blackboard REST API v3, OAuth 2.0Hosts and executes purpose-built AI agents with defined roles, memory, and tool access on customer infrastructure
Docker, Kubernetes, customer-hosted cloud or on-premiseStores agent memory, interaction logs, and analytics data within the institution's own data environment
PostgreSQL, S3-compatible storage, customer-managed encryptionDeploy 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.
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.
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.
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.
Select and configure purpose-built agents from the Agentic OS catalog β such as a Course Advisor Agent or Retention Alert Agent. Assign each agent to specific Blackboard courses or institution-wide roles.
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.
Deploy agents with defined roles β advisor, tutor, retention coach β directly inside Blackboard courses and dashboards. No generic chatbots; every agent has a specific job.
Agents respond to Blackboard activity events β missed deadlines, low quiz scores, inactivity β and trigger personalized interventions automatically, without manual monitoring.
AI-assisted assessments and agent-evaluated submissions pass grades directly back to the Blackboard gradebook via LTI Advantage Assignments and Grades Service.
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.
Agentic OS agents can connect Blackboard with Banner, PeopleSoft, Salesforce, and other institutional systems β orchestrating multi-step workflows across your entire tech stack.
Track agent performance, learner engagement trends, and intervention outcomes in a unified dashboard. All logs stay on your infrastructure for full auditability.
A Retention Agent monitors Blackboard engagement signals β login frequency, submission rates, grade trajectories β and automatically reaches out to at-risk students with personalized support messages and resource links before they disengage.
Faculty deploy a Course Facilitator Agent inside Blackboard that answers student questions 24/7, surfaces relevant course materials, and escalates complex queries to the instructor β reducing faculty workload while improving response times.
Enterprise training teams use Agentic OS to automate Blackboard-based compliance course assignments, completion tracking, and certificate issuance β triggered by HR system events like new hires or role changes.
An Advisor Agent analyzes a learner's Blackboard performance history and institutional goals, then recommends the next course, module, or resource β surfaced directly inside the Blackboard interface.
Agentic OS agents provide detailed, rubric-aligned feedback on written assignments submitted in Blackboard, passing structured comments and preliminary scores to the gradebook for instructor review and approval.
See how ibl.ai deploys AI agents you own and controlβon your infrastructure, integrated with your systems.