Deploy purpose-built AI agents directly inside D2L Brightspace — on your infrastructure, under your control.
ibl.ai Agentic OS connects with D2L Brightspace to give institutions a full AI agent platform that runs on their own infrastructure. Build, deploy, and manage specialized AI agents without surrendering data ownership or accepting vendor lock-in.
Unlike generic AI add-ons, Agentic OS agents are purpose-built with defined roles — advising, tutoring, grading support, content delivery — and wired directly into Brightspace workflows via LTI and open APIs.
Every agent your institution deploys stays on your servers, governed by your policies, and compliant with FERPA, HIPAA, and SOC 2 requirements from day one.
Agentic OS connects to D2L Brightspace through a secure middleware layer using LTI 1.3, Brightspace Data Sets (BDS), and REST APIs. Agent logic runs on customer-owned infrastructure while reading and writing back to Brightspace in real time or on a scheduled basis.
Hosts and executes purpose-built AI agents on customer infrastructure
Containerized microservices (Docker/Kubernetes)Embeds Agentic OS agent interfaces natively inside Brightspace courses
LTI Advantage, OAuth 2.0Reads and writes course, user, and grade data via D2L REST APIs
D2L Brightspace REST API, Brightspace Data SetsRoutes tasks between specialized agents and manages context across sessions
ibl.ai Agentic OS orchestration engineDeploy the ibl.ai Agentic OS runtime on your cloud or on-premises environment. Use the provided Helm charts or Docker Compose templates to complete the base installation.
Create a new API application in the D2L Brightspace admin panel to generate client credentials. Assign the required scopes for users, enrollments, grades, and content.
Enter your Brightspace tenant URL and OAuth credentials into the Agentic OS admin console. Run the connection test to verify read and write access to course and user data.
Add ibl.ai Agentic OS as an external learning tool in Brightspace using LTI Advantage. Configure deep linking and grade passback to enable full two-way integration.
Use the Agentic OS visual builder to define agent roles, knowledge bases, and trigger conditions. Assign agents to specific Brightspace courses, org units, or user roles.
Run agents in sandbox mode within a Brightspace test course. Review logs in the Agentic OS dashboard, validate data flows, then promote agents to production org units.
Design and deploy AI agents with specific roles — advisor, tutor, grader, onboarding guide — directly inside D2L Brightspace courses and org units.
Agents respond instantly to Brightspace activity events such as quiz submissions, content views, and discussion posts to deliver timely, contextual interventions.
Agent-assessed activities and AI-scored interactions write results directly back to the Brightspace gradebook via LTI Advantage grade services.
All agent logic, conversation data, and model configurations run on your servers. No learner data leaves your environment without your explicit authorization.
Coordinate multiple specialized agents across departments and courses from a single Agentic OS control plane, with shared context and unified audit logs.
Extend agent capabilities by connecting Agentic OS to Banner, PeopleSoft, SIS platforms, or custom institutional data sources alongside Brightspace.
Deploy an advising agent that reads enrollment and progress data from Brightspace and proactively guides students on course selection, deadlines, and degree requirements.
Agents monitor Brightspace engagement signals and trigger personalized outreach to at-risk learners before they disengage, reducing dropout rates at scale.
AI agents handle routine grading support, FAQ responses, and assignment feedback drafts within Brightspace, freeing instructors for high-value teaching interactions.
Enterprise training teams use Agentic OS to deploy role-specific coaching agents inside Brightspace training portals, delivering personalized upskilling at scale.
New student or employee onboarding agents guide users through Brightspace orientation courses, answer questions in real time, and track completion milestones automatically.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.