Turn student success analytics into personalized AI-driven learning experiences — automatically.
EAB Navigate surfaces powerful early-alert signals, advising data, and risk indicators across your student population. But analytics alone don't change outcomes. The ibl.ai Agentic LMS closes the loop by converting those signals into real-time, personalized learning interventions.
When a student is flagged in Navigate — for attendance gaps, grade risk, or advising holds — the Agentic LMS automatically adjusts their learning path, surfaces targeted resources, and deploys AI agents to guide them forward. No manual handoffs. No delayed responses.
This integration gives institutions a unified intelligence layer: Navigate's longitudinal student data powers the Agentic LMS's AI agents, creating a continuous feedback loop between analytics and action. Your institution owns the agents, the data, and the infrastructure — with zero vendor lock-in.
The integration connects EAB Navigate's student analytics and early-alert engine to the ibl.ai Agentic LMS via secure API and event-driven data pipelines. Navigate acts as the intelligence source, while the Agentic LMS serves as the action layer — deploying AI agents, adjusting content, and reporting outcomes back to Navigate.
Ingests EAB Navigate risk scores, alerts, and student profile data and normalizes them for consumption by Agentic LMS AI agents
REST API, OAuth 2.0, EAB Navigate APIAI-native LMS that receives Navigate signals and dynamically adjusts learning paths, content delivery, and agent deployments per student
ibl.ai Agentic OS, Open edX-compatible runtimePurpose-built AI agent that monitors Navigate alert triggers and proactively engages at-risk students with targeted nudges, resources, and advising prompts
ibl.ai Agentic OS, LLM orchestration layerWrites LMS engagement and intervention outcome data back to Navigate, enriching advisor dashboards with learning-layer context
Webhook pipeline, ibl.ai Data Connector, EAB Navigate APIWork with your EAB Navigate administrator to generate API credentials and enable data export permissions for student profiles, early alerts, and advising records. Confirm your institution's Navigate API endpoint URL.
Deploy the ibl.ai Agentic LMS to your institution's cloud environment or on-premises servers. ibl.ai provides infrastructure-as-code templates for AWS, Azure, and GCP to accelerate deployment.
Enter your Navigate API credentials into the ibl.ai admin console to activate the Navigate Analytics Bridge. Define which alert types, risk thresholds, and student cohorts should trigger Agentic LMS actions.
Use the ibl.ai Agentic OS to configure Student Success Agents with your institution's tone, escalation policies, and resource libraries. Assign agents to specific cohorts or risk tiers identified in Navigate.
Activate the Outcome Sync Service to write LMS engagement data — course logins, module completions, agent interactions — back into Navigate advisor dashboards. Map ibl.ai data fields to Navigate's data schema.
Run end-to-end tests using a pilot student cohort. Validate that Navigate alerts trigger correct LMS path adjustments, agents engage appropriately, and outcome data appears in Navigate advisor views. Expand to full population after sign-off.
When Navigate raises an early alert for a student, the Agentic LMS automatically restructures that student's learning path — surfacing remedial content, checkpoints, or support resources without any manual intervention.
Purpose-built Student Success Agents monitor Navigate risk scores and proactively reach out to at-risk students via the LMS — delivering personalized nudges, study tips, and advising prompts at the right moment.
Advisors see a complete picture in Navigate: not just risk flags, but also LMS engagement data, AI agent interaction summaries, and learning progress — all written back automatically from the Agentic LMS.
Define intervention rules by Navigate cohort — first-generation students, STEM majors, transfer students — and the Agentic LMS deploys differentiated AI agents and content strategies for each group automatically.
Every AI-driven intervention is tracked and reported. Institutions can measure whether Navigate-triggered LMS actions improved course completion, reduced advising load, or increased retention — closing the analytics loop.
All student data exchanged between Navigate and the Agentic LMS stays on your institution's infrastructure. ibl.ai is FERPA and SOC 2 compliant by design, with no third-party data sharing or vendor data retention.
When Navigate flags a student for attendance issues or grade risk, the Agentic LMS immediately deploys a Student Success Agent to check in, offer targeted resources, and recommend an advising appointment — reducing response time from days to minutes.
Navigate's enrollment and academic plan data seeds the Agentic LMS with each new student's profile on day one. AI agents deliver a customized onboarding learning path aligned to the student's major, goals, and identified risk factors.
Student Success Agents handle first-line engagement for Navigate-flagged students — answering common questions, delivering resources, and escalating only complex cases to human advisors. Advisors focus on high-impact conversations.
Institutional retention teams use Navigate cohort data to define at-risk populations, then deploy targeted AI-driven learning campaigns through the Agentic LMS — reaching thousands of students with personalized interventions simultaneously.
Navigate academic performance data combined with Agentic LMS assessment results enables AI agents to identify specific skills gaps per student and automatically assign adaptive remediation content before gaps widen.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.