# Technolutions Slate + MentorAI Integration > Source: https://ibl.ai/resources/integrations/slate-mentorai *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. ## Capabilities ### Slate-Aware Personalized Mentoring 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. ### Proactive Enrollment Nudges 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. ### 24/7 Admissions Q&A Purpose-built admissions agents answer program, deadline, financial aid, and campus life questions around the clock using institutional knowledge grounded in Slate data context. ### Automated Slate Record Enrichment 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. ### Advisor Escalation and Task Creation 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. ### Institution-Owned AI with Zero Lock-In 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. ## Setup ### Step 1: Provision Slate API Credentials (~1-2 hours) Generate 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. Requirements: - Slate administrator access - API module enabled in Slate instance - Defined data scope and field mapping document ### Step 2: Deploy ibl.ai Institutional Infrastructure (~4-8 hours) 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. Requirements: - Cloud account (AWS, Azure, or GCP) or on-premise server meeting ibl.ai specs - IT administrator access - ibl.ai deployment package and license key ### Step 3: Configure the Slate API Connector (~2-4 hours) 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. Requirements: - Slate API credentials from Step 1 - ibl.ai Slate Connector package - Field mapping specification ### Step 4: Build and Configure MentorAI Agents (~1-2 days) 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. Requirements: - ibl.ai Agentic OS access - Institutional content and program information - Defined agent roles and escalation policies ### Step 5: Enable Slate Record Enrichment (~2-3 hours) Configure the MentorAI-to-Slate write-back service to push conversation summaries, engagement signals, and advisor alerts into corresponding Slate CRM records automatically. Requirements: - Slate API write permissions - ibl.ai webhook configuration - Defined enrichment field targets in Slate ### Step 6: Test, Validate, and Launch (~1-2 days) 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. Requirements: - Slate sandbox environment - QA test scripts - Stakeholder sign-off from enrollment and IT teams ## Technical Requirements **Technolutions Slate Requirements:** - Slate instance with API module enabled - Slate administrator credentials for API key provisioning - OAuth 2.0 authentication support - REST API access to prospect, applicant, and communication objects - Write-back API permissions for record enrichment (optional but recommended) **ibl.ai Infrastructure Requirements:** - Institution-managed cloud environment (AWS, Azure, GCP) or on-premise server - Minimum 8 vCPU, 32 GB RAM for MentorAI agent engine (scales with concurrent users) - ibl.ai Agentic OS license and deployment package - Outbound HTTPS access to Slate API endpoints - TLS 1.2+ for all data in transit **Compliance and Security Requirements:** - FERPA-compliant data handling policies enforced at institutional infrastructure layer - Data residency within institution-controlled environment - Role-based access control (RBAC) configured for MentorAI agent data scopes - Audit logging enabled for all Slate API reads and writes - SOC 2 Type II alignment for ibl.ai platform components ## FAQ **Q: Does MentorAI store student data from Slate on ibl.ai's servers?** No. The entire MentorAI deployment runs on your institution's own infrastructure. Student data from Slate never leaves your environment and is never stored on ibl.ai's servers, ensuring full FERPA compliance and institutional data sovereignty. **Q: How does MentorAI use Slate data to personalize conversations?** MentorAI reads each student's Slate record — including program interests, application stage, communication history, and engagement events — and uses that context to tailor every response. Students receive guidance relevant to where they are in their journey, not generic answers. **Q: Can MentorAI write information back into Slate CRM records?** Yes. The integration includes a Slate record enrichment service that writes conversation summaries, engagement signals, sentiment indicators, and advisor alerts back into the corresponding Slate records, giving counselors richer context without manual data entry. **Q: Will MentorAI replace our enrollment counselors?** No. MentorAI is designed to handle high-volume, repetitive inquiries and proactive outreach so counselors can focus on complex, high-value interactions. When a student needs human support, MentorAI creates a task and alert in Slate for the assigned counselor. **Q: How long does it take to set up the Slate and MentorAI integration?** A standard integration can be completed in 5 to 10 business days, including infrastructure provisioning, API configuration, agent setup, and end-to-end testing. Timeline varies based on institutional IT readiness and the number of MentorAI agent roles configured. **Q: Is the integration compatible with all versions of Technolutions Slate?** The integration is compatible with Slate instances that have the API module enabled and support OAuth 2.0 authentication. Contact your Slate administrator to confirm API access is available on your current Slate subscription tier. **Q: Can we configure multiple MentorAI agents for different student populations in Slate?** Yes. You can deploy distinct MentorAI agents for different audiences — prospective students, admitted students, transfer applicants, graduate inquiries — each with its own persona, knowledge base, and Slate data scope, all managed from the ibl.ai Agentic OS. **Q: What happens to MentorAI if we decide to stop using ibl.ai?** Because your institution owns the agent code, data, and infrastructure, you retain everything if you end your ibl.ai relationship. There is no vendor lock-in — your agents and all associated Slate integration data remain under your control.