Deploy purpose-built AI agents that scale resume coaching, mock interviews, and employer matching across tens of thousands of students — without replacing your career advisors.
Research universities serve 15,000–60,000 students with career centers staffed for a fraction of that demand. Advisors spend hours on repetitive resume reviews instead of high-value coaching.
Siloed departments, legacy SIS platforms, and disconnected employer databases make personalized job matching nearly impossible at scale. Students fall through the cracks.
Outcome tracking is manual, inconsistent, and often incomplete — making it hard to demonstrate ROI, satisfy accreditors, or improve programming based on real data.
The average research university career advisor supports 1,000+ students, making personalized guidance nearly impossible and leaving most students underserved.
1,000+ students per advisor on averageStudents wait days or weeks for resume feedback during peak recruiting seasons, causing them to miss application deadlines and early recruiting cycles.
Up to 2-week wait times during peak seasonMock interview access is limited by advisor availability and scheduling. Most students never complete a single practice interview before their first real one.
Fewer than 30% of students complete a mock interviewJob postings, employer relationships, and student profiles live in disconnected systems, making intelligent matching and proactive outreach nearly impossible.
60%+ of posted jobs go unmatched to qualified studentsFirst-destination surveys yield low response rates and delayed data, leaving career centers unable to demonstrate impact or identify at-risk student populations in time.
Average first-destination survey response rate under 40%Delivers instant, role-specific resume feedback aligned to industry standards and target job descriptions. Learns from advisor corrections over time to match your institution's voice.
Conducts on-demand video and text-based mock interviews for any industry or role. Provides scored feedback on content, delivery, and keyword alignment with job descriptions.
Matches students to employer opportunities using academic background, skills, career goals, and behavioral signals — integrated directly with your existing SIS and job board.
AI agents identify, segment, and engage employer partners with personalized outreach sequences, freeing employer relations staff to focus on relationship-building.
Continuously collects and synthesizes first-destination data through conversational AI check-ins, LinkedIn integration, and SIS signals — dramatically improving response rates.
A persistent AI mentor that guides students from freshman year through graduation, recommending experiences, credentials, and connections aligned to their evolving career goals.
Audit existing career tech stack, SIS/LMS integrations, and data flows. Map advisor workflows and identify highest-impact automation opportunities specific to your institution.
Deploy AI Resume Review and Mock Interview agents on your infrastructure. Configure agents with institution-specific rubrics, industry tracks, and advisor feedback loops.
Connect AI matching engine to your job board and SIS. Launch employer outreach automation with segmented sequences. Train career staff on agent management and escalation protocols.
Activate AI-driven outcome data collection, reporting dashboards, and continuous improvement loops. Establish baseline metrics and configure alerts for at-risk student populations.
Students wait up to two weeks for advisor feedback, often missing application deadlines during peak recruiting season.
AI agent delivers detailed, role-specific resume feedback in under five minutes, 24/7, with advisor review available for complex cases.
Mock interviews require scheduling weeks in advance; most students never complete one before their first real interview.
Students access on-demand AI mock interviews for any role or industry at any time, with scored feedback and improvement tracking.
Students manually browse generic job boards; advisors lack time to make personalized employer connections for each student.
AI matches students to relevant opportunities based on skills, academic record, and goals — surfaced proactively in their portal.
Manual surveys sent at graduation yield under 40% response rates and months-delayed data with significant gaps.
Conversational AI agents collect outcome data continuously, achieving 80%+ response rates with real-time dashboard visibility.
Advisors spend the majority of their time on transactional tasks — resume reviews, scheduling, and basic Q&A.
AI handles all tier-1 tasks, freeing advisors to focus on complex coaching, employer relationships, and at-risk students.
Powers the AI Career Pathway Advisor and Mock Interview Coach — delivering personalized, on-demand career mentoring and interview preparation to every student at scale.
The platform backbone for building, deploying, and managing all career services agents — including resume review, job matching, employer outreach, and outcome tracking — on your own infrastructure.
Enables AI-powered skills assessment and micro-credentialing tied to career readiness milestones, helping students demonstrate competencies to employers and improving outcome data quality.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.