AI for School Counselors

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.

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 you do today

Evaluate students for 504 Plan eligibility (broader than IEP — covers ADHD, chronic health conditions, mental health). Write plans, conduct annual reviews, monitor accommodation implementation, and respond to parent concerns.

AI that applies

Automated 504 compliance tracking that monitors accommodation implementation across all teachers, flagging when a student's accommodations aren't being provided.

How it works

The system ingests accommodation implementation across all teachers 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 output is a recommended plan or schedule that accounts for the identified constraints and optimization criteria. The eligibility conversation.

What you do today

Meet with parents about academic concerns, behavioral issues, college planning, and mental health referrals. Navigate culturally diverse parent expectations and language barriers.

AI that applies

AI-prepared parent conference packets with student data summaries, intervention history, and suggested talking points.

How it works

For parent communication & conferences, the system draws on the relevant operational data and applies the appropriate analytical models. 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 relationship.

What you do today

Help students plan their course sequences: prerequisite tracking, graduation requirement monitoring, AP/honors recommendations, and college prep course alignment. For seniors, verify graduation eligibility and resolve credit deficiencies.

AI that applies

AI-optimized course planning that maps each student's current credits against graduation requirements, college aspirations, and available course offerings — identifying the best path forward.

How it works

For scheduling & course selection advising, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The advising conversation.

What you do today

Lead school-wide prevention programs: anti-bullying, substance abuse prevention, attendance improvement, and positive behavioral interventions and supports (PBIS). Analyze climate survey data and behavioral trends.

AI that applies

AI-analyzed climate survey data with theme extraction and trend analysis, identifying specific intervention targets.

How it works

For school climate & prevention programs, the system draws on the relevant operational data and applies the appropriate analytical models. 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 prevention culture.

What you do today

Respond to immediate mental health crises: suicidal ideation, self-harm disclosures, abuse reports, and acute psychological distress. Conduct risk assessments (Columbia Protocol), create safety plans, notify parents, and connect with community mental health resources.

AI that applies

AI-assisted risk factor monitoring that identifies students with accumulating risk indicators, enabling prevention before crisis. Post-crisis documentation assistance.

How it works

The system pulls operational data and maps it against risk frameworks, control requirements, and historical incident patterns. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The output — prevention before crisis — surfaces in the existing workflow where the practitioner can review and act on it. The crisis response.

What you do today

Deliver classroom guidance curriculum on social-emotional learning (SEL), conflict resolution, bullying prevention, study skills, career exploration, and college readiness. ASCA standards cover academic, career, and social-emotional domains.

AI that applies

AI-curated lesson content matched to current student needs based on school data — if bullying referrals are up, the AI suggests prioritizing conflict resolution lessons.

How it works

The system ingests school data — if bullying referrals are up 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 delivery.

What you do today

Run targeted small groups for students sharing common challenges: grief/loss, divorce adjustment, anger management, social skills, study skills, college application support.

AI that applies

AI student grouping recommendations based on shared needs, compatible schedules, and group dynamics considerations.

How it works

For small group counseling, the system draws on the relevant operational data and applies the appropriate analytical models. Machine learning clusters the data points by measuring similarity across multiple dimensions, identifying natural groupings without requiring predefined categories. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What you do today

Fulfill mandated reporter obligations: recognize signs of abuse and neglect, file reports with child protective services, document concerns, and coordinate with social services.

AI that applies

AI-flagged behavioral indicators that align with known abuse/neglect patterns, aggregated across teachers and staff observations.

How it works

The system aggregates data from multiple operational systems into a unified analytical layer. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The output is a structured view that highlights exceptions, trends, and items requiring attention — available in the existing tools without switching systems. The professional judgment.

What you do today

Provide short-term counseling for students experiencing anxiety, depression, family issues, peer conflict, or academic stress. Identify students who need referral to outside mental health services.

AI that applies

AI early warning systems that flag students showing behavioral indicators of distress — attendance drops, grade changes, discipline referrals, nurse visits — so you can reach out proactively.

How it works

For individual student counseling, the system draws on the relevant operational data and applies the appropriate analytical models. The analytics engine aggregates data across sources, applies statistical analysis to identify significant patterns and outliers, and presents the results through visualizations that highlight what needs attention. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The therapeutic relationship.