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Integration

D2L Brightspace + Agentic LMS Integration

Transform your Brightspace environment into an AI-native learning ecosystem β€” 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 β€” 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 β€” 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.

Architecture

The integration connects D2L Brightspace to ibl.ai's Agentic LMS via LTI 1.3 and REST APIs. Learner activity, enrollment data, and course content flow into the ibl.ai agent layer, which runs on your institution's infrastructure. AI agents process data, generate insights, and surface personalized actions back into Brightspace in real time.

Data Flows

D2L Brightspaceibl.ai Agentic LMSEnrollment and course roster data (batch)
D2L Brightspaceibl.ai Agentic LMSLearner activity events and progress metrics (real-time)
ibl.ai Agentic LMSD2L BrightspaceAI-generated feedback, nudges, and recommendations (real-time)
ibl.ai Agentic LMSD2L BrightspaceGrades and competency completion records (on-demand)
D2L Brightspaceibl.ai Agentic LMSCourse content and learning objectives (batch)

Components

LTI 1.3 Bridge

Authenticates and launches ibl.ai agent tools directly within Brightspace course shells

LTI Advantage, OAuth 2.0

ibl.ai Agent Orchestration Layer

Routes learner data to purpose-built AI agents for tutoring, advising, and content adaptation

ibl.ai Agentic OS, Python, LangChain

Brightspace REST API Connector

Syncs enrollment, grades, and activity data between Brightspace and the ibl.ai platform

D2L Brightspace REST API, Webhooks

Institutional Data Store

Stores all agent interactions, learner profiles, and model data on institution-controlled infrastructure

PostgreSQL, S3-compatible storage, institution-hosted cloud

Setup Guide

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.

  • Cloud or on-premise server environment (AWS, Azure, GCP, or bare metal)
  • Docker and Kubernetes support
  • ibl.ai enterprise license
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.

  • Brightspace Admin access
  • ibl.ai LTI credentials (client ID, JWKS URL, redirect URI)
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.

  • Brightspace API user with enrollment and grade read/write scopes
  • OAuth 2.0 client credentials
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 β€” such as MentorAI tutors or advising agents β€” to specific courses or learner cohorts.

  • ibl.ai admin dashboard access
  • Brightspace course list export or API sync
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.

  • Pilot learner accounts in Brightspace
  • ibl.ai integration test suite
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.

  • ibl.ai analytics dashboard access
  • Institutional stakeholder sign-off

Capabilities Unlocked

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 β€” 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 β€” ever.

Agentic Workflow Automation

Automate repetitive administrative tasks β€” enrollment confirmations, deadline reminders, completion certificates β€” using configurable AI agents that integrate with Brightspace events and triggers.

Enabled Use Cases

24/7 AI Tutoring for Online Learners

Academic Affairs

Institutions offering fully online programs through Brightspace can deploy MentorAI agents to provide round-the-clock academic support, reducing learner frustration and improving course completion rates.

Early Alert and Student Success Intervention

Student Success

AI agents monitor Brightspace engagement signals β€” login frequency, assignment submissions, quiz scores β€” and automatically alert advisors or send personalized nudges to at-risk students.

Instructor Productivity and Feedback Automation

Faculty / Instructional Design

Faculty teaching high-enrollment Brightspace courses use ibl.ai agents to generate draft feedback on written assignments, freeing instructor time for higher-value teaching interactions.

Corporate Training and Upskilling Programs

Learning & Development

Enterprise training teams using Brightspace for employee development deploy Agentic LMS to personalize learning paths, assess skill gaps, and issue AI-verified credentials upon completion.

Adaptive Competency-Based Education

Curriculum & Instruction

CBE programs on Brightspace use ibl.ai agents to continuously assess demonstrated competencies and dynamically adjust learning pathways, accelerating time-to-mastery for each learner.

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

Frequently Asked Questions

Ready to transform your institution with AI?

See how ibl.ai deploys AI agents you own and controlβ€”on your infrastructure, integrated with your systems.