ibl.ai Integrations

Native integrations across LMS, SIS, CRM, and enterprise systems — via LTI 1.3, APIs, and MCP — so agents plug into the platforms your teams already use.

22 pages

What's in the Integrations Hub

Wire ibl.ai into the systems your organization already runs — LMS (Canvas, Blackboard, Moodle, D2L Brightspace, Schoology, Google Classroom), SIS (Banner, PeopleSoft, Workday Student, PowerSchool, Infinite Campus, Slate), CRM (Salesforce, HubSpot, EAB Navigate, Slate, Element451), EHR (Epic, Cerner, athenahealth), financial systems (Bloomberg, Refinitiv, FIS), and the long tail of enterprise systems via MCP servers and OpenAPI connectors.

Integration always terminates inside the customer's perimeter, not the vendor's cloud. ibl.ai's role is the orchestration layer and the agent runtime; the actual API calls to your SIS, EHR, or CRM happen from a connector you control, often inside the same VPC as the source system. That's the difference between a sovereign integration and a managed-AI vendor that requires data to traverse a third-party cloud to reach your own systems.

Use this hub to find the integration pattern for your specific stack. Each entry covers the technical pattern (LTI 1.3, REST, MCP, custom connector), the data scope, the auth model (OAuth, SAML, API key, OAuth 2.1 + DPoP for MCP), and the compliance considerations (FERPA, HIPAA, GLBA, SR 11-7) for the relevant industry.

Related on ibl.ai

What systems does ibl.ai integrate with?

These 22 integration pages cover the learning, student-information, and business systems an AI layer has to connect to — Canvas, Blackboard, Moodle, D2L Brightspace, Ellucian Banner, PeopleSoft, Workday, Salesforce, Slate, and more. Each page describes what data moves, in which direction, and how authentication and permissions are handled.

Does adding AI mean replacing my LMS or SIS?

No. The systems of record stay where they are; the AI layer reads from and writes to them through their existing APIs. That matters for the deployment decision, because a platform you self-host can integrate inside your own network without routing institutional data through a third party's infrastructure at all.

What makes the ibl.ai platform different?

ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.