Career Services
AI-Powered Career Services for Higher Education
Beyond student matching — manage internship agreements, thesis validation, and placement tracking end-to-end.
The Challenge
Career advisors lack visibility into student profiles
Without structured data, it is difficult to effectively match students with opportunities.
The volume of requests exceeds team capacity
CV reviews, interview preparation, placement — career services are understaffed relative to demand.
Employer offers are not well targeted
Without intelligent matching, relevant opportunities do not reach the right students.
Measuring service impact is difficult
Placement rates, employer satisfaction, average time to first job — KPIs are rarely tracked.
Post-graduation support is non-existent
The relationship with alumni often ends at graduation.
Internship agreements are managed manually
Tripartite convention management, subject validation, and progress report collection are fragmented across tools and email threads.
Staff spend hours chasing signatures, re-sending documents, and manually tracking deadlines across dozens of simultaneous conventions.
Without a centralized system, errors go undetected: missing clauses, expired conventions, or non-compliant internship roles --- exposing the institution to legal risk.
Thesis and dissertation validation lacks structure
some students submit late or not at all, with no automated reminder system in place to enforce deadlines.
Career advisors lack visibility into student profiles
Validating dissertation topics and reviewing final reports is done without a centralized system, creating inconsistencies and delays.
Topic approval workflows are handled via email, making it impossible to track which subjects have been validated, rejected, or are still pending --- especially across multiple programs simultaneously.
Without standardized rubrics applied at the topic validation stage, supervisors evaluate proposals inconsistently --- leading to disputes, resubmissions, and wasted student time.
Final report submission is often decentralized across email inboxes and shared drives, with no version control, no deadline enforcement, and no audit trail for accreditation purposes.
Career advisors lack visibility into student profiles
Without structured data, it is difficult to effectively match students with opportunities.
The volume of requests exceeds team capacity
CV reviews, interview preparation, placement — career services are understaffed relative to demand.
Employer offers are not well targeted
Without intelligent matching, relevant opportunities do not reach the right students.
Measuring service impact is difficult
Placement rates, employer satisfaction, average time to first job — KPIs are rarely tracked.
Post-graduation support is non-existent
The relationship with alumni often ends at graduation.
Internship agreements are managed manually
Tripartite convention management, subject validation, and progress report collection are fragmented across tools and email threads.
Staff spend hours chasing signatures, re-sending documents, and manually tracking deadlines across dozens of simultaneous conventions.
Without a centralized system, errors go undetected: missing clauses, expired conventions, or non-compliant internship roles --- exposing the institution to legal risk.
Thesis and dissertation validation lacks structure
some students submit late or not at all, with no automated reminder system in place to enforce deadlines.
Career advisors lack visibility into student profiles
Validating dissertation topics and reviewing final reports is done without a centralized system, creating inconsistencies and delays.
Topic approval workflows are handled via email, making it impossible to track which subjects have been validated, rejected, or are still pending --- especially across multiple programs simultaneously.
Without standardized rubrics applied at the topic validation stage, supervisors evaluate proposals inconsistently --- leading to disputes, resubmissions, and wasted student time.
Final report submission is often decentralized across email inboxes and shared drives, with no version control, no deadline enforcement, and no audit trail for accreditation purposes.
Features
The Intelligence Layer
Student Profile & Skills Mapping
Automatic analysis and structuring of student profiles — skills, experience, aspirations, market fit. Enriched from the academic record.
AI-Powered Job Matching
Intelligent matching between student profiles and job offers — explainable recommendation algorithm, detailed compatibility scoring.
CV & Interview AI Coach
Automated CV feedback and interview preparation. English level assessment with IELTS/Cambridge correlation >0.85. 50+ accents, 12 languages supported.
Employer Relationship Management
Employer portal: job posting, candidate shortlisting, recruitment tracking. Centralized employer pipeline.
- Dedicated employer login with self-service job posting and candidate shortlist management
- AI-powered pre-screening: automatic matching of student profiles to employer criteria — explainable compatibility score per candidate
- Full recruitment tracking: application status, interview scheduling, offer management — all in one centralized pipeline
- Employer engagement analytics: partnership history, offer acceptance rates, repeat hiring — identify and nurture your top employer relationships
- Internship & thesis agreement management: tripartite convention tracking, subject validation, progress report collection — all stages of professional experience in one interface
- Automated contract compliance checks: duration, role type, company criteria verified against program requirements — reduces manual validation time by 80%
Placement Analytics
Dashboard of key indicators: placement rates, time-to-hire, sectors, salary levels — accreditation reporting for AACSB, EQUIS, AMBA.
- Real-time placement dashboard: placement rates by program, cohort, sector, and geography — updated automatically as outcomes are recorded
- Salary benchmarking: average starting salary by program, specialization, and employer type — benchmark against industry standards
- Accreditation-ready exports: one-click PDF and Excel reports formatted for AACSB, EQUIS, and AMBA requirements
- Alumni tracking integration: follow graduate career progression beyond placement — track promotions, career pivots, and long-term alumni outcomes
- Employer satisfaction tracking: structured feedback loops from hiring partners — continuous quality improvement for career services
- Time-to-hire analytics: track average days from application to offer by employer, sector, and program — identify bottlenecks and optimize the recruitment cycle
Speech Assessment (Roadmap GA May 2027)
Advanced oral assessment module: speech analysis, language skills assessment, video interview preparation. +50% estimated ARPU on existing clients.
- AI-powered spoken English assessment: automated scoring of pronunciation, fluency, vocabulary, and grammar — IELTS/Cambridge correlation >0.85, 50+ accents, 12 languages
- Video interview simulation and coaching: practice rounds with AI feedback on content, structure, delivery, and language — students prepare at their own pace, 24/7
- Deepfake and fraud detection on video submissions: identify AI-generated or pre-recorded responses during assessments — protects the integrity of remote evaluations
- Institutional language certification pathway: certify student language levels internally — reduce reliance on external test fees (IELTS, TOEFL) at EUR 5-10 per student vs EUR 50-200 for competitors
- Roadmap: GA May 2027 — +50% estimated ARPU on existing clients. Available for early access pilot from Q3 2026.
How It Works
End-to-End Process
1
Profile creation
The student fills in their profile. AI structures and enriches the data from their academic record.
2
Skills assessment
AI maps acquired skills and identifies gaps relative to market expectations.
3
Matching
Relevant opportunities are automatically recommended, with a matching explanation.
4
Preparation
The student prepares with the AI coach: CV, cover letter, video interview simulation. - Reduced workload for advisors on repetitive tasks - Better student experience — personalized support available 24/7 - Accurate data for accreditations and employability reports - Speech Assessment GA May 2027 — +50% estimated ARPU
Profile creation
The student fills in their profile. AI structures and enriches the data from their academic record.
Skills assessment
AI maps acquired skills and identifies gaps relative to market expectations.
Matching
Relevant opportunities are automatically recommended, with a matching explanation.
Preparation
The student prepares with the AI coach: CV, cover letter, video interview simulation. - Reduced workload for advisors on repetitive tasks - Better student experience — personalized support available 24/7 - Accurate data for accreditations and employability reports - Speech Assessment GA May 2027 — +50% estimated ARPU
Case Study
Typical Workflow
1 — Internship Submission
Students submit internship contracts and company information for validation.
2 — Requirement Verification
Contracts are checked against program requirements: duration, role type, company criteria.
3 — Progress Monitoring
Internship progress is tracked through check-ins and supervisor evaluations.
4 — Completion Validation
Final reports and evaluations are collected and verified.
5 — Outcome Tracking
Placement outcomes are recorded for reporting and accreditation.
What Is Automated
- Contract requirement checking
- Document collection and reminders
- Timeline monitoring
- Outcome data aggregation
- Report generation
What Remains Human
- Contract approval decisions
- Supervisor evaluation review
- Exception handling
- Career counseling
- Employer relationship management
Outputs & Auditability
Internship Records
Complete documentation of each internship experience.
Placement Reports
Aggregated outcomes for accreditation and reporting.
Employer Database
Tracked relationships and internship history by company.