Transform your Slate CRM data into personalized AI mentoring experiences that guide students from first inquiry through graduation.
Technolutions Slate is the leading CRM platform for higher education, powering admissions, enrollment, and student success workflows at institutions worldwide. When combined with ibl.ai MentorAI, Slate's rich student data becomes the foundation for intelligent, personalized AI mentoring at every stage of the student lifecycle.
MentorAI agents connect directly to Slate records, reading application status, communication history, program interests, and engagement signals to deliver context-aware guidance. Students receive proactive, relevant support whether they are exploring programs, completing applications, or navigating their first semester.
Institutions retain full ownership of their MentorAI agents, data, and infrastructure. There is no vendor lock-in, and all interactions remain compliant with FERPA and institutional data governance policies — giving enrollment and student success teams confidence to deploy AI at scale.
The integration connects Technolutions Slate to ibl.ai MentorAI through a secure API bridge deployed on institutional infrastructure. Slate serves as the system of record for prospect and student data, while MentorAI agents consume, contextualize, and act on that data to deliver personalized mentoring interactions across web, mobile, and portal surfaces.
Authenticates and retrieves prospect, applicant, and student records from Slate via REST API, maintaining a live data sync layer for MentorAI context.
Technolutions Slate REST API, OAuth 2.0Hosts purpose-built AI mentoring agents that consume Slate context to generate personalized, role-specific guidance for prospective and current students.
ibl.ai Agentic OS, LLM orchestration layerStores interaction history, agent configurations, and enriched student profiles on institution-owned infrastructure, ensuring data sovereignty and FERPA compliance.
Institution-hosted cloud or on-premise database, ibl.ai data pipelineWrites MentorAI-generated insights, conversation summaries, and advisor alerts back into Slate CRM records to close the loop for enrollment counselors.
ibl.ai webhook service, Slate API write endpointsGenerate a dedicated API key and configure OAuth 2.0 credentials within Technolutions Slate. Scope permissions to read prospect, applicant, and communication records required by MentorAI.
Provision the ibl.ai Agentic OS on your institution's cloud environment or on-premise servers. This ensures all student data and AI interactions remain within your institutional boundary.
Install and configure the ibl.ai Slate API Connector using your provisioned credentials. Map Slate fields to MentorAI context variables including program interest, application stage, and communication history.
Use the ibl.ai Agentic OS to define MentorAI agent roles — such as Admissions Mentor, Program Advisor, or Enrollment Guide. Configure each agent's persona, knowledge base, and Slate data access scope.
Configure the MentorAI-to-Slate write-back service to push conversation summaries, engagement signals, and advisor alerts into corresponding Slate CRM records automatically.
Run end-to-end integration tests using sandbox Slate records. Validate data flows, agent response quality, and record enrichment accuracy before enabling MentorAI for live student interactions.
MentorAI agents read each student's Slate profile in real time — including program interests, application status, and prior communications — to deliver guidance that feels individually tailored rather than generic.
MentorAI monitors Slate engagement signals and automatically initiates outreach when a prospect goes quiet, misses a deadline, or reaches a critical application milestone, reducing counselor workload.
Purpose-built admissions agents answer program, deadline, financial aid, and campus life questions around the clock using institutional knowledge grounded in Slate data context.
Every MentorAI conversation generates structured insights — sentiment, intent, unresolved questions — that are written back into Slate records, giving counselors a richer view without manual data entry.
When MentorAI detects a student at risk of disengaging or requiring human intervention, it automatically creates follow-up tasks and alerts within Slate for the assigned enrollment counselor.
All MentorAI agents, conversation data, and Slate integrations run on your infrastructure. Your institution owns the code, models, and data — with no dependency on ibl.ai's cloud to operate.
Prospective students interact with a MentorAI admissions agent that knows their Slate application stage, program preferences, and communication history. The agent answers questions, explains next steps, and escalates to human counselors when needed — reducing response time from days to seconds.
From deposit to first day of class, MentorAI guides newly admitted students through orientation tasks, housing applications, and course registration using Slate enrollment data to surface the right information at the right moment.
MentorAI identifies prospects in Slate who have gone cold and initiates personalized, context-aware re-engagement conversations — referencing their original program interest and last interaction to make outreach feel relevant rather than automated.
By monitoring Slate engagement data and MentorAI conversation signals together, student success teams receive early alerts for at-risk students. Advisors can intervene earlier with richer context, improving retention outcomes.
MentorAI handles high-volume, repetitive inquiries — deadline reminders, document checklists, program FAQs — freeing enrollment counselors to focus on complex cases and relationship-building with high-priority prospects.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.