Voice AI agents to scale experiential & career programs

Trusted by leading institutions · 300,000+ Voice AI calls delivered across North America

Memorial University
Northeastern University
University of Waterloo
Seneca Polytechnic
University of Toronto
University of British Columbia
Toronto Metropolitan University
Mohawk College
Humber College
Fanshawe College
Memorial University
Northeastern University
University of Waterloo
Seneca Polytechnic
University of Toronto
University of British Columbia
Toronto Metropolitan University
Mohawk College
Humber College
Fanshawe College

Solve the 1001:1 student support problem

Runs thousands of structured student voice conversations, automating repetitive interactions so staff can focus on pivotal moments.

Voice AI Modules
Career Exploration
Job Search Check-in
Resume Assist
Mock Interview
Guided Reflection

Voice AI calls to help undecided students explore career paths.

  • Interest-based discovery with actionable next steps
  • First-year foundations and career courses
  • Orientation and transition programs

How it works

1. The student experience

Student Voice AI Conversations

5–15 min phone or web calls · 3+ per module

2. How modules are deployed

Assignments

Structured deadlines · Auto-graded

or

Self-Serve Practice

Available 24/7 · Instant feedback

3. What the system produces

Student Feedback

Instant and personalized

Staff Summaries

Actionable reports

Leadership Signals

Alert signals and trends

Your students are already using AI

Now you can govern it. InStage brings Voice AI into real workflows with compliance, auditability, and safety built in.

Compliant

PIPEDA(Canada)
FERPA support(US)
SOC 2–aligned controls

Jurisdiction-based data storage. Vendor list + due diligence package available on request.

Trust Center

Auditable

Session logs are exportable. Operational logs are retained 365+ days.

Independently tested

Third-party pen test completed. All findings are closed.

Accessible

24/7 via browser or phone. Low-bandwidth friendly.

Responsible AI principles

InStage AI Principles

Transparent by design

AI involvement is clearly communicated. Outputs support learning, not replace evaluation.

Human-in-the-loop

AI supports decisions—doesn't make them alone. Educator judgment stays central.

Responsible boundaries

No model training on content. No biometrics. No unapproved AI on student data.

Start with one Voice AI agent. Scale with confidence.