Mars Innovation Technology builds FERPA-compliant AI assistants for higher education — answering policy questions, guiding course selection, automating admissions workflows, and reducing administrative burden so staff can focus on students.
AI academic advisor answers policy, course and registration questions 24/7 from official university content.
FERPA-compliant architecture: student PII stays in your environment and never leaves your cloud.
Reduces repetitive advising queries by 40–60%, freeing staff for high-value student interactions.
Integrates with Canvas, Blackboard, Banner, PeopleSoft and Salesforce Education Cloud.
The average higher-education advisor manages 300–400 student files. Routine questions about course prerequisites, registration deadlines, financial aid procedures and campus policies consume 40–60% of advising time — time that should be spent on complex academic planning and student success interventions. Students email on Friday and wait until Monday for a basic answer.
Existing chatbots on university websites are keyword-based and frustrate students more than they help. Students quickly learn to ignore them and call the office, creating phone and email queues that further overwhelm staff. The result is a poor student experience and burned-out advisors.
Advisors spend 40–60% of their time answering repetitive policy and procedure questions.
Students wait 24–72 hours for answers to simple questions available in the course calendar.
Existing chatbots are keyword-based — they fail on anything slightly out-of-pattern.
Policy documents, course calendars, and FAQs are scattered across 10+ systems.
FERPA compliance requirements make cloud AI feel risky without proper architecture.
A production-ready, fixed-price engagement — from architecture to deployment to support.
RAG assistant trained on your course catalogue, academic calendar, policies and FAQs — answers student questions accurately with citations to source documents.
AI agents that process applications, request missing documents, send status updates and route complex cases to admissions staff.
Deployed in your Azure or AWS tenant. Student PII is processed within your data boundary, never sent to third-party AI training pipelines.
ML-based course recommendations that consider degree requirements, prerequisites, schedule preferences and historical completion rates.
Connects to Canvas, Blackboard, Moodle, Banner, PeopleSoft, and Ellucian — so the AI advisor has access to real-time student records and course data.
Tracks deflection rate, escalation reasons, unresolved query patterns and advisor workload — so administration can measure ROI and improve content.
40–60%
Routine queries handled by AI, not staff.
24/7
AI advisor available outside business hours.
<2 min
vs. 24–72 hours for email-based advising.
100%
Student PII stays within your cloud boundary.
Transparent weekly milestones so you always know what is happening and what comes next.
Every tier is fixed-scope and fixed-price. Start small and scale when ready.
From $3,000
1 week
Content audit, SIS/LMS integration review, FERPA data map and AI use-case prioritisation for your institution.
From $11,000
3 weeks
Deploy an AI advisor for one department or programme with FERPA-compliant architecture.
From $30,000
7–9 weeks
Institution-wide AI advisor, admissions automation, course recommendations and SIS integration.
From $50,000
12–16 weeks
Multi-campus deployment, multi-language support, proactive student success alerts and Salesforce Education Cloud integration.
From $5,500/mo
Ongoing
Managed AI operations — content refresh each term, model tuning, FERPA compliance monitoring and monthly reporting.
Compared to generic consultancies and do-it-yourself approaches.
| Feature | Mars Innovation Technology | Generic Consultancy | DIY / In-House |
|---|---|---|---|
FERPA-compliant architecture | ✓ | Varies | ✗ |
RAG over your official content | ✓ | Keyword chatbot | ✗ |
SIS/LMS integration included | ✓ | Extra cost | Manual |
Fixed price & timeline | ✓ | ✗ | ✗ |
Admissions automation | ✓ | ✗ | ✗ |
Staff productivity dashboard | ✓ | Extra cost | ✗ |
Ongoing managed option | ✓ | ✓ | ✗ |
It is a fixed-price engagement that deploys a FERPA-compliant AI academic advisor and admissions automation system for higher-education institutions in 7–9 weeks.
All infrastructure is deployed within your institution's Azure or AWS tenant. Student personally identifiable information (PII) is processed and stored exclusively within your data boundary and never transmitted to external AI training pipelines or third-party services. We document the full data flow for your compliance and legal teams.
We integrate with Canvas, Blackboard, Moodle, D2L Brightspace, Banner, PeopleSoft Ellucian, Colleague, and Salesforce Education Cloud. The AI advisor draws on real-time course, registration and programme data from your SIS.
Yes. The knowledge base is structured by department, programme and faculty, allowing the advisor to answer accurately for undergraduate, graduate, professional, and continuing education programmes from a single deployment.
We implement a confidence-threshold escalation workflow. Below the confidence threshold, the AI acknowledges the limitation, captures the query, and routes it to the appropriate staff member with full conversation context. Staff can review escalations in the dashboard and feed good answers back into the knowledge base.
The Managed tier includes a structured content refresh process at the start of each academic term: updated course catalogues, policy documents, academic calendar, and FAQs are re-ingested and the AI is re-evaluated before the term begins.
Yes. The AI advisor is deployed as a web widget that works on mobile browsers, and optionally as an integration within your LMS mobile app. We can also integrate with SMS-based advising workflows.
Based on comparable deployments, institutions typically see a 40–60% reduction in tier-1 advising queries within 60 days of launch, freeing advisor time for complex academic planning and at-risk student interventions.