School Counselor
College & Career Counseling
What You Do Today
Guide students through college selection, application, essay writing, financial aid (FAFSA), and scholarship searches. For students not pursuing college, coordinate career pathways, apprenticeships, and military options.
AI That Applies
AI-powered college matching based on student profile (grades, interests, financial need, preferences) and historical outcomes of similar students. Scholarship matching from databases of thousands of opportunities.
Technologies
How It Works
The system ingests student profile (grades as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The mentoring.
What Changes
College lists become evidence-based instead of 'I've heard good things about that school.' Scholarship matching surfaces opportunities students would never find on their own. First-generation students get the same quality of college advising that prep school students get.
What Stays
The mentoring. Helping a first-generation student believe they belong at a selective university, walking a family through FAFSA when they've never filed taxes, celebrating the acceptance letter — that's human impact.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for college & career counseling, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long college & career counseling takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your department chair or principal
“What data do we already have that could improve how we handle college & career counseling?”
They influence which ed-tech tools get approved and funded
your instructional technologist
“Who on our team has the deepest experience with college & career counseling, and what tools are they already using?”
They support the tech stack and can show you capabilities you don't know exist
your school counselor
“If we brought in AI tools for college & career counseling, what would we measure before and after to know it actually helped?”
They see the student impact side of AI-adaptive tools
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.