Empowering Teams With Secure, Ethical, and Scalable Technology
At Advisor.AI, our commitment to transforming student success is matched by an unwavering dedication to data privacy, security, and responsible AI. We protect institutional and student information with industry-leading encryption, strict role-based access controls, and continuous security monitoring across every layer of our platform.
Our Security & Responsible AI Team brings together senior engineering leaders, Fortune 500 responsible AI practitioners, data-privacy legal experts, and academic advisors from both public and private institutions. This diverse expertise ensures our platform meets the highest standards in security, compliance, ethical AI development, and continuous innovation.
Trusted by students, advisors, and administrators across 100+ institutions • Powering more than 1 million advising interactions annually • 250+ research-backed capabilities

Security & Compliance
Protecting students and institutional data at every step.
- FERPA Compliance: Restricted access to student information, no student data used for AI training, encryption in transit and at rest, and minimal data collected—only what’s needed to support exploration.
- Configurable Role-Based Access: Permissions tailored by program, cohort, or custom groups to ensure only the right people have access.
- Closed Loop System: All data remains within your institution’s private environment and is never shared across external systems.
- SOC 2 Certified: Independent validation of our security controls, operational processes, and governance protocols.
Ethical & Responsible AI
SAFE AI: Secure. Accountable. Fair. Effective.
- Human-in-the-Loop: Timely nudges help students connect with advisors for personalized support, human-centered system design
- Comprehensive Guardrails: Extensive testing and safeguards in place reduce bias, mitigate operational risk, and build trust over time.
- Closed-Loop System: Responses are generated from each institution’s approved resources—not the open internet—ensuring consistency.
- Transparency: Answers cite their sources (where applicable), so students and advising teams understand what information to trust
- Compliance: Ongoing model audits and automated testing mechanisms help maintain accountability and mitigate operational risks over time.


High-Performing, Easy To Scale
- Cloud-Native: Built on AWS for speed, reliability, and global scale.
- Modular: Institutions can launch within a department or campus-wide.
- High Availability & Disaster Recovery: Redundant failover and rapid recovery keep student operations consistent and uninterrupted.
- Performance Analytics: Built-in, easy-to-use dashboards provide actionable insights on student engagement and emerging trends.
- Automatic Updates & Maintenance: Cloud-native platform delivers the latest feature updates with minimal downtime - at no additional cost.
Modular System, Easy To Launch
Once institutional needs and strategic objectives are identified, the Advisor AI team develops a collaborative action plan for launching the system and tailors it with university-specific information, such as course catalogs, degree milestones, and resource FAQs—all within a four-week timeframe. Based on the strategic value of use cases and student engagement results, additional integrations are discussed.
The onboarding process is simple: University representatives add the app link to their website while Advisor AI works with IT to establish user authentication and app enrollment. The platform's user-friendly, intuitive nature typically requires only 10 to 15 minutes of training for students and advisors, enabling institutions to transform the student experience and demonstrate institutional effectiveness from day one.