Does this integration replace Canvas LMS?

No. The ibl.ai Agentic LMS is designed to extend Canvas, not replace it. Canvas remains your system of record for enrollment, grades, and course delivery. The Agentic LMS adds an AI intelligence layer on top — handling adaptive learning, AI agents, and intelligent analytics — while learners and instructors continue working inside Canvas.

How does the Agentic LMS connect to Canvas technically?

The integration uses LTI 1.3 and LTI Advantage for single sign-on and tool launch, the Canvas REST API for data sync, and the LTI Assignments and Grades Service (AGS) for grade passback. Canvas Data 2 can be used for bulk historical data ingestion to power AI models and analytics.

Is student data from Canvas sent to ibl.ai or third-party servers?

No. All data remains within your institution's infrastructure. ibl.ai's architecture is built for institutional ownership — the Agentic LMS runs on your cloud or on-premise environment, and Canvas learner data never transits through ibl.ai's servers. This design ensures FERPA compliance by default.

Can AI-generated grades from the Agentic LMS appear in the Canvas gradebook?

Yes. The integration uses LTI Advantage's Assignments and Grades Service to pass scores, completion status, and competency signals from Agentic LMS assessment agents directly back to the Canvas gradebook in real time. Instructors can review and override AI-assigned grades at any time.

What AI models does the Agentic LMS use with Canvas?

The Agentic LMS is model-agnostic. Institutions can connect OpenAI, Azure OpenAI, Anthropic, Google Gemini, or open-source models running on-premise via Ollama or vLLM. This flexibility ensures institutions are never locked into a single AI provider and can switch models as needs evolve.

How long does it take to set up the Canvas and Agentic LMS integration?

A standard integration — including LTI configuration, API connection, and initial agent deployment — typically takes one to two days for a technical team. Full institutional rollout with custom agent configuration and data pipeline setup generally ranges from one to three weeks depending on scope.

Does ibl.ai support Canvas for K-12 institutions as well as higher education?

Yes. The Canvas and Agentic LMS integration is designed for both higher education and K-12 institutions, as well as enterprise training environments. AI agents can be configured with age-appropriate interaction models, content guardrails, and role-specific permissions to suit any educational context.

What happens to the integration if ibl.ai changes its pricing or discontinues a product?

Because the Agentic LMS runs entirely on your institution's infrastructure and you own the code, data, and agent configurations, you are not dependent on ibl.ai's continued service to operate. This zero vendor lock-in model means your AI investment is protected regardless of future vendor changes.

Canvas LMS + Agentic LMS Integration

Canvas LMS is trusted by thousands of institutions worldwide for course delivery, grading, and learner engagement. By integrating ibl.ai's Agentic LMS, you layer purpose-built AI agents directly into your existing Canvas workflows.

The Agentic LMS extends Canvas with intelligent automation — adaptive learning paths, AI-driven assessments, and real-time learner analytics — all running on your own infrastructure with zero vendor lock-in.

Whether you're looking to reduce instructor workload, personalize learning at scale, or surface actionable insights from Canvas data, this integration gives your institution the AI operating layer Canvas was never designed to provide.

Architecture

The integration connects Canvas LMS to ibl.ai's Agentic LMS via LTI 1.3, REST APIs, and event-driven data pipelines. Canvas remains the system of record for enrollment and grades, while the Agentic LMS handles AI orchestration, agent deployment, and adaptive content delivery. All components run on customer-controlled infrastructure.

Data Flows

Canvas LMSAgentic LMSEnrollment, course roster, and user profile data (batch)

Canvas LMSAgentic LMSLearner activity events and xAPI statements (real-time)

Agentic LMSCanvas LMSGrade passback and completion status via LTI Advantage (real-time)

Agentic LMSCanvas LMSAI-generated content modules and adaptive assignments (on-demand)

Canvas LMSAgentic LMSAssignment submissions for AI assessment and feedback (real-time)

Components

LTI 1.3 Bridge

Authenticates and launches Agentic LMS tools directly within Canvas, enabling single sign-on and deep linking to AI-powered learning activities.

LTI Advantage, OAuth 2.0, JWKS

Agentic Orchestration Engine

Deploys and manages purpose-built AI agents for tutoring, assessment, content adaptation, and learner analytics within the integrated environment.

ibl.ai Agentic OS, Python, LangChain

Canvas Data Connector

Syncs enrollment, activity, and grade data between Canvas and the Agentic LMS using Canvas REST APIs and Canvas Data 2 pipelines.

Canvas REST API, Canvas Data 2, PostgreSQL

Grade Passback Service

Returns AI-assessed scores, competency signals, and completion events from the Agentic LMS back to the Canvas gradebook in real time.

LTI Advantage Assignments and Grades Service (AGS)

Setup Guide

Provision Your ibl.ai Agentic LMS Instance

2–4 hours

Deploy the Agentic LMS on your institution's infrastructure or preferred cloud environment. ibl.ai provides infrastructure-as-code templates for AWS, Azure, and GCP to accelerate provisioning.

Cloud account or on-premise server meeting minimum specs
ibl.ai license and access credentials
DNS entry for your Agentic LMS subdomain

Register the LTI 1.3 Developer Key in Canvas

30 minutes

In Canvas Admin, create a new LTI Developer Key using the JSON configuration provided by ibl.ai. Enable the key and note the Client ID for the next step.

Canvas Admin account with Developer Keys access
ibl.ai LTI configuration JSON or URL
Canvas instance URL

Configure the Canvas Data Connector

1–2 hours

Connect the Agentic LMS to your Canvas REST API using an OAuth 2.0 token. Configure Canvas Data 2 sync schedules for enrollment and activity data ingestion.

Canvas API access token with appropriate scopes
Canvas Data 2 credentials (if applicable)
Network access between Canvas and Agentic LMS

Deploy and Configure AI Agents

1–3 hours

Use the Agentic OS dashboard to select, configure, and deploy agents — such as tutoring, assessment, or content agents — scoped to specific courses or institution-wide.

Agentic OS admin access
Course or department scope defined
LLM API keys or on-premise model endpoint

Add Agentic LMS Tools to Canvas Courses

15–30 minutes per course or via bulk provisioning

Instructors or admins add Agentic LMS external tools to Canvas courses via the LTI integration. Deep links surface AI activities, adaptive modules, and agent interfaces inside Canvas.

LTI Developer Key enabled in Canvas
Course-level or account-level external tool placement configured

Validate Grade Passback and Data Sync

1–2 hours

Run end-to-end tests to confirm learner activity flows into the Agentic LMS, AI assessments return grades to the Canvas gradebook, and enrollment sync is accurate.

Test learner accounts in Canvas
Agentic LMS monitoring dashboard access
Canvas gradebook write permissions confirmed

Capabilities Unlocked

AI-Powered Adaptive Learning Paths

The Agentic LMS analyzes Canvas learner activity and performance data to dynamically adjust content sequencing, pacing, and difficulty — delivering personalized pathways without manual instructor intervention.

Intelligent Assessment and Instant Feedback

Purpose-built assessment agents evaluate open-ended submissions, provide detailed formative feedback, and return scores directly to the Canvas gradebook via LTI Advantage grade passback.

Embedded AI Tutoring Inside Canvas

MentorAI tutoring agents surface within Canvas course pages, offering learners on-demand, context-aware academic support aligned to course content — without leaving the Canvas interface.

Real-Time Learner Analytics and Early Alerts

The Agentic LMS aggregates Canvas activity signals and AI interaction data to identify at-risk learners early, surfacing actionable alerts for instructors and advisors in real time.

AI-Native Content Creation and Adaptation

Agentic Content tools generate, remix, and adapt course materials from existing Canvas content — producing quizzes, summaries, and learning objects aligned to course objectives automatically.

Institution-Owned Infrastructure, Zero Lock-In

All AI agents, data, and models run on your institution's infrastructure. Canvas data never leaves your environment, ensuring FERPA compliance and full institutional control over AI operations.

Enabled Use Cases

Personalized Remediation for Struggling Learners

Academic Affairs

When Canvas gradebook data signals a learner is falling behind, the Agentic LMS automatically triggers a remediation pathway — serving targeted micro-lessons, AI tutoring sessions, and practice assessments until mastery is demonstrated.

Automated Formative Assessment at Scale

Faculty / Instructional Design

Instructors in large enrollment courses use Agentic LMS assessment agents to evaluate written assignments, discussion posts, and project submissions — returning rubric-aligned feedback within minutes and syncing grades to Canvas automatically.

AI-Driven Student Success Monitoring

Student Success / Advising

Advisors receive real-time risk alerts generated by the Agentic LMS from Canvas engagement patterns, enabling proactive outreach before students disengage or withdraw.

Rapid Course Content Development

Instructional Design / eLearning

Instructional designers use Agentic Content to generate first-draft course modules, quizzes, and learning objectives from syllabi or existing Canvas materials — cutting development time from weeks to hours.

Corporate Training Personalization on Canvas

Learning & Development

Enterprise training teams running Canvas for employee development deploy Agentic LMS to deliver role-specific learning paths, AI coaching agents, and skills-gap assessments — all within their existing Canvas environment.

Technical Requirements

Canvas LMS Requirements

Canvas LMS (Cloud or self-hosted) version supporting LTI 1.3 and LTI Advantage
Canvas Admin access to create Developer Keys and external tools
Canvas REST API access token with read/write scopes for courses, enrollments, and grades
Canvas Data 2 access for historical activity data sync (recommended)
Outbound network access from Canvas to Agentic LMS endpoints

ibl.ai Agentic LMS Infrastructure

Cloud deployment: AWS, Azure, or GCP (minimum 8 vCPU, 32 GB RAM recommended for production)
On-premise deployment: Linux server meeting ibl.ai minimum hardware specifications
PostgreSQL 14+ for relational data storage
Redis for real-time event queuing and caching
LLM endpoint: OpenAI API, Azure OpenAI, or compatible on-premise model (e.g., Ollama, vLLM)
SSL/TLS certificate for Agentic LMS domain
Docker and Docker Compose or Kubernetes for container orchestration

Compliance and Security

FERPA-compliant data handling — all student data processed within institution-controlled infrastructure
SOC 2 Type II alignment for data security controls
OAuth 2.0 and JWKS-based LTI 1.3 authentication
Role-based access control (RBAC) configured for admin, instructor, and learner roles
Data encryption at rest (AES-256) and in transit (TLS 1.2+)