# D2L Brightspace + Agentic LMS Integration > Source: https://ibl.ai/resources/integrations/d2l-brightspace-agentic-lms *Transform your Brightspace environment into an AI-native learning ecosystem — without replacing the tools your institution already depends on.* D2L Brightspace is a trusted LMS used by hundreds of institutions worldwide. But as learner expectations evolve and AI becomes central to education, institutions need more than a course delivery platform — they need intelligent, agentic infrastructure. ibl.ai's Agentic LMS layers directly onto your existing Brightspace environment. Purpose-built AI agents handle advising, tutoring, content adaptation, and learner support — all within the workflows your faculty and students already know. With zero vendor lock-in and full data ownership, your institution controls the agents, the infrastructure, and the outcomes. The Brightspace + Agentic LMS integration is designed for institutions ready to lead the next era of AI-powered education. ## Capabilities ### AI Tutoring Inside Brightspace Deploy MentorAI tutoring agents directly within Brightspace course shells via LTI. Learners get on-demand, context-aware academic support without leaving their existing workflow. ### Intelligent Learner Progress Monitoring AI agents continuously analyze Brightspace activity data to identify at-risk learners, flag disengagement patterns, and trigger proactive outreach — automatically and at scale. ### Automated Personalized Learning Paths Based on Brightspace performance data, ibl.ai agents dynamically adapt content sequencing and recommend supplemental resources tailored to each learner's demonstrated competencies. ### AI-Powered Grading Assistance Agentic LMS assists instructors with rubric-aligned feedback generation and draft grading for open-ended assessments, syncing finalized grades back to the Brightspace gradebook. ### Institutional Data Ownership All agent interactions, learner data, and AI model outputs are stored exclusively on your institution's infrastructure. No data leaves your environment — ever. ### Agentic Workflow Automation Automate repetitive administrative tasks — enrollment confirmations, deadline reminders, completion certificates — using configurable AI agents that integrate with Brightspace events and triggers. ## Setup ### Step 1: Provision ibl.ai Agentic LMS on Your Infrastructure (~1-2 days) Deploy the ibl.ai Agentic LMS to your institution's cloud or on-premise environment. ibl.ai provides deployment scripts, Helm charts, and dedicated onboarding support to get your environment live quickly. Requirements: - Cloud or on-premise server environment (AWS, Azure, GCP, or bare metal) - Docker and Kubernetes support - ibl.ai enterprise license ### Step 2: Register LTI 1.3 Tool in D2L Brightspace (~30-60 minutes) In your Brightspace Admin panel, register ibl.ai as an LTI 1.3 external tool. Enter the ibl.ai tool URL, client ID, and public key provided during provisioning to establish a trusted connection. Requirements: - Brightspace Admin access - ibl.ai LTI credentials (client ID, JWKS URL, redirect URI) ### Step 3: Configure Brightspace REST API Access (~1-2 hours) Create a dedicated API user in Brightspace with appropriate data access scopes. Provide the API credentials to ibl.ai's connector service to enable enrollment, grade, and activity data synchronization. Requirements: - Brightspace API user with enrollment and grade read/write scopes - OAuth 2.0 client credentials ### Step 4: Map Courses and Configure AI Agents (~2-4 hours) In the ibl.ai admin dashboard, map your Brightspace course catalog to agent configurations. Assign purpose-built agents — such as MentorAI tutors or advising agents — to specific courses or learner cohorts. Requirements: - ibl.ai admin dashboard access - Brightspace course list export or API sync ### Step 5: Test Integration and Validate Data Flows (~1-2 days) Run end-to-end tests using a pilot cohort. Verify that learner activity flows into ibl.ai, agents respond correctly, and AI-generated feedback surfaces accurately within Brightspace course shells. Requirements: - Pilot learner accounts in Brightspace - ibl.ai integration test suite ### Step 6: Launch and Monitor (~Ongoing) Roll out the integration to your full learner population. Use ibl.ai's analytics dashboard to monitor agent performance, learner engagement, and intervention effectiveness in real time. Requirements: - ibl.ai analytics dashboard access - Institutional stakeholder sign-off ## Technical Requirements **D2L Brightspace Requirements:** - Brightspace version 20.22.6 or later - LTI Advantage (LTI 1.3) enabled - Brightspace REST API access with OAuth 2.0 - Admin-level access for tool registration - Webhooks or Data Hub enabled for real-time event streaming **ibl.ai Infrastructure Requirements:** - Cloud or on-premise environment (AWS, Azure, GCP, or bare metal) - Kubernetes 1.24+ or Docker Compose support - Minimum 8 vCPU, 32 GB RAM for production deployment - PostgreSQL 14+ database - S3-compatible object storage for content and model artifacts - Outbound HTTPS access to D2L Brightspace APIs **Compliance and Security:** - FERPA-compliant data handling configuration - SOC 2 Type II audit readiness (ibl.ai provides documentation) - TLS 1.2+ for all data in transit - Role-based access control (RBAC) configured in ibl.ai admin - Data residency controls to ensure data stays on institutional infrastructure ## FAQ **Q: Does the ibl.ai Agentic LMS replace D2L Brightspace?** No. ibl.ai Agentic LMS is designed to augment and extend Brightspace, not replace it. Your institution keeps Brightspace as the course delivery and gradebook system while ibl.ai adds an AI-native intelligence layer on top. **Q: Will learner data from Brightspace be sent to ibl.ai's servers?** No. ibl.ai runs entirely on your institution's infrastructure. All Brightspace learner data, agent interactions, and AI outputs remain within your environment. ibl.ai never stores or processes your data on shared cloud infrastructure. **Q: How does the LTI 1.3 integration work with Brightspace?** ibl.ai registers as an LTI 1.3 external tool in Brightspace. Instructors can embed AI agent tools directly into course shells. Learners launch agents from within Brightspace without needing separate logins or accounts. **Q: What AI agents are available for Brightspace courses?** Out of the box, institutions can deploy MentorAI tutoring agents, academic advising agents, early alert agents, and grading assistance agents. Custom agents can also be built using ibl.ai's Agentic OS platform. **Q: How long does the Brightspace + Agentic LMS integration take to set up?** Most institutions complete the core integration in 3-5 business days, including infrastructure provisioning, LTI registration, API configuration, and pilot testing. Full institutional rollout timelines vary based on scope. **Q: Is the integration compliant with FERPA and other education data regulations?** Yes. Because all data remains on your institution's infrastructure, FERPA compliance is maintained by design. ibl.ai also supports HIPAA and SOC 2 compliance configurations for institutions with additional regulatory requirements. **Q: Can ibl.ai agents write grades back to the Brightspace gradebook?** Yes. Using the Brightspace REST API, ibl.ai agents can push finalized grades and competency completion records back to the Brightspace gradebook. Institutions control which grade write-back actions are automated versus instructor-approved. **Q: What happens if we want to stop using ibl.ai in the future?** Because ibl.ai runs on your infrastructure and you own all agent code, data, and configurations, there is no vendor lock-in. You retain full access to everything ibl.ai deployed, and your Brightspace environment continues operating independently.