Deploy intelligent career agents system-wide to deliver consistent, personalized career support — from resume review to job placement — across every campus in your state university network.
State university systems serve tens of thousands of students across multiple campuses, yet career services remain fragmented, under-resourced, and inconsistent.
Each campus operates in isolation with separate tools, disconnected employer networks, and no shared data infrastructure — making system-wide outcome reporting nearly impossible.
Students at smaller campuses receive far less career support than those at flagship institutions. AI agents built on ibl.ai close that gap by delivering scalable, standardized, and personalized career services everywhere.
Career outcome data lives in disconnected systems across campuses, making it impossible to report placement rates, employer engagement, or student progress at the system level.
Only 42% of universities can report career outcomes consistently across departmentsStudents at regional or satellite campuses receive significantly fewer career touchpoints than those at flagship locations, creating equity gaps in career readiness.
Students at smaller campuses receive up to 60% fewer career advising hoursCareer counselors are stretched thin managing resume reviews, mock interviews, and employer outreach manually — leaving little time for high-value relationship building.
Average advisor-to-student ratio in public universities is 1:2,300Students wait days or weeks for resume feedback during peak recruiting seasons, causing missed application deadlines and lost opportunities.
Peak-season resume review wait times average 5–10 business daysEmployer outreach is managed ad hoc with no unified CRM or AI-assisted follow-up, resulting in missed partnerships and duplicated effort across campuses.
Less than 30% of employer relationships are tracked in a centralized systemDelivers instant, role-specific resume feedback aligned to industry standards and employer expectations — available 24/7 to every student across all campuses simultaneously.
Conducts realistic, role-specific mock interviews using video and voice analysis, providing detailed feedback on content, delivery, and confidence — at unlimited scale.
Matches students to relevant job and internship opportunities based on skills, credentials, major, and career goals — integrated with employer pipelines and job boards.
Aggregates career outcome data across all campuses into a unified dashboard, enabling system-level reporting on placement rates, employer engagement, and student progress.
Automates personalized employer communications, follow-ups, and event coordination — helping career teams scale their employer networks without adding headcount.
Assesses and validates career-readiness competencies, issuing verifiable digital credentials that students can share with employers directly from their career profile.
Audit existing career services tools, data systems, and workflows across all campuses. Map integration points with Banner, PeopleSoft, Handshake, and campus SIS platforms.
Configure and deploy AI career agents — resume reviewer, mock interview coach, and job matcher — at one or two pilot campuses with real student cohorts.
Scale all configured agents across every campus in the system. Train career advisors on the platform, establish shared employer outreach workflows, and activate outcome tracking dashboards.
Monitor agent performance, student engagement, and placement outcomes. Refine job matching models, expand employer networks, and introduce AI credentialing for career-readiness competencies.
Students wait up to two weeks for manual feedback during peak recruiting season, often missing application deadlines.
AI resume agents deliver instant, role-specific feedback 24/7 — every student, every campus, no wait time.
Mock interviews are available only at select campuses with limited advisor availability, leaving most students unprepared.
AI video interview coaches conduct unlimited practice sessions with detailed performance feedback across all campuses.
Career outcome data is scattered across campus-specific spreadsheets and tools with no system-level visibility.
A unified AI dashboard aggregates placement rates, employer engagement, and student progress across the entire system.
Each campus manages employer relationships independently with no shared CRM, causing duplication and missed opportunities.
AI employer outreach agents coordinate system-wide communications, follow-ups, and event scheduling from one platform.
Students at regional campuses receive significantly fewer career services hours than those at the flagship institution.
Every student system-wide receives the same high-quality AI-powered career support regardless of campus size.
Deploys personalized AI career mentoring agents that guide students through resume building, interview preparation, and job search strategy — available 24/7 across every campus in the system.
The core platform for building, deploying, and managing all career services AI agents — including resume reviewers, mock interview coaches, and employer outreach assistants — on your own infrastructure with full institutional ownership.
Assesses and issues verifiable digital credentials for career-readiness competencies, enabling students to demonstrate job-ready skills to employers and giving the system a standardized framework for measuring career outcomes.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.