A credential employers can understand
Students leave with STEP Certified: AI-Ready Graduate, not another line that says they attended AI training. The credential points to demonstrated work in a realistic scenario.
STEP Campus · for universities
Your graduates need more than an AI module.
Employers are asking whether graduates can use AI responsibly in real work. STEP Campus gives universities a practical answer: a capstone simulation, a cohort readiness report, and a public credential students can take into the job market.
The institutional case
A sharper answer to the AI-readiness question.
STEP Campus is designed for the conversations university leaders already have: graduate outcomes, employer confidence, assurance of learning, and what to improve next term.
Evidence that survives committee scrutiny
The cohort run gives your curriculum committee a clear evidence model: what was assessed, what the cohort showed, and how the results map to graduate readiness.
Faculty focus stays on teaching
Faculty can use STEP as a capstone or co-curricular layer without inventing a new assessment system. The simulation creates the evidence record; faculty use the results for teaching and advising.
Cohort data that points to action
The report shows where students are confident, where they over-trust AI, and where curriculum or career support should focus next. It is built for results review, not dashboard theatre.
What a cohort run produces
The outputs are built for decision meetings.
A STEP Campus cohort run creates usable evidence, not just a positive student experience. These are the work samples your team can bring to deans, career services, faculty boards, and employer partners.
- Student credential records — public verification pages for learners who earn STEP Certified: AI-Ready Graduate.
- Cohort readiness report — the aggregate strengths, gaps, and trust-risk patterns your team can discuss with leadership.
- Institutional evidence pack — rubric, group score breakdown, and work-sample evidence for employability and quality reviews.
- Faculty results review — a structured session on what students demonstrated and what should change next term.
- Student development guidance — individual next steps that turn the assessment into a useful advising conversation.
Cohort shape
Start with one cohort and one clear question.
The best first cohort run is focused enough to run well and serious enough to create a real institutional results review. Commercial and implementation details belong in the follow-up conversation.
Final-year students or fresh graduates
Start with a group close enough to employment that the evidence matters. The strongest implementations connect career services, a faculty champion, and a cohort with a real placement or internship horizon.
What can our graduates show employers?
The cohort run should answer a business question, not just run an activity. Where is the cohort ready? Where does AI judgment break down? What evidence changes the employer conversation?
Use the report beyond the classroom
The group report is written for curriculum improvement, career advising, employer engagement, and outcomes reporting. It is not just a student completion record.
Scope the cohort run
Send the cohort size, learner profile, and the person who needs the evidence. We will come back with a first-cohort scope and the right results review format. Email hello@stepsim.com to start the conversation.
Who needs to care
One cohort run, three university teams.
Faculty who need an applied capstone
STEP gives faculty a realistic AI-era performance task without forcing them to build a scoring system from scratch.
Career services teams
Career teams get language, evidence, and individual scorecards that help students explain their AI-era readiness in employer conversations.
Deans and program directors
Program leaders get an outcomes story backed by work-sample evidence, not just syllabus changes or student satisfaction.
A signal with boundaries
STEP is a performance record from a simulation. It supports readiness, advising, and employer conversations without pretending to guarantee hiring outcomes.
Cohort path
A simple path to the first evidence pack.
Name the cohort
Choose the student group, course, or co-curricular program where AI-readiness evidence would be most useful.
Run the simulation
Students complete the learning sequence and capstone simulation. The experience creates individual records and group evidence.
Read back the evidence
Your team receives the group report, individual scorecard format, and a structured interpretation of the readiness patterns.
Decide where it belongs
Use the cohort evidence to decide whether STEP should sit in a course, career-services program, capstone, or institutional employability initiative.
A good first cohort is focused enough to run cleanly and concrete enough to produce a meaningful results review.
Common questions
What universities usually ask first
Where does STEP fit in a university?
Most first cohorts fit inside a final-year course, employability program, AI-literacy capstone, or career-services initiative.
What does the student experience feel like?
It feels like a workplace task, not an exam. Students work with AI, face ambiguity, handle pressure, and produce a record of how they made decisions.
What does the institution get after the cohort?
A cohort readiness report, evidence pack, individual credential records, and a results review on what the results imply for curriculum and advising.
Do faculty have to grade the simulation?
No. Faculty can use the report for teaching and advising, but the assessment record is generated through the STEP simulation and review process.
Can employers understand the result?
Yes. The student credential is written in plain language, publicly verifiable, and backed by a scorecard that describes demonstrated readiness.
What does a cohort run cost?
Scope depends on cohort size, timing, and results review needs. Email hello@stepsim.com with the cohort you have in mind.
What about student data and PII?
Credential issuance requires learner consent and basic identifying information. Programs can run aggregate-only cohorts when public credentials are not required. The Privacy page has the full policy and deletion path.