Real-time identity validation & access control
AI Instructor Validation
An AI-assisted access portal that verifies academic instructors against official university sources, routes uncertain cases for human approval, and returns a clear decision in one guided flow.
Business problem
The challenge
Instructor access requests were a high-volume operational bottleneck. Teams had to confirm that an applicant belonged to a legitimate institution and department before granting access, turning a simple account request into repetitive research and follow-up.
The workflow needed to move quickly without letting AI make an opaque access-control decision. Strong matches could be approved automatically, but incomplete or conflicting evidence needed a safe path to manual review.
Technical solution
Our approach
The architecture separates evidence gathering, AI interpretation, and policy-based routing so each decision remains explainable and uncertain cases stay under human control.
- 01
Capture verified inputs
A focused account flow collects the instructor’s name, .edu email, institution, and department, with required-field, domain, and input validation before any external work begins.
- 02
Ground the decision
The backend searches public faculty information and asks OpenAI to evaluate name, institution, department, and email alignment. Validation is constrained to official school sources and returned as structured confidence and reasoning.
- 03
Route by confidence
High-confidence matches are activated automatically. Missing university or department evidence is denied, while ambiguous matches remain pending and are routed to a department head for approval.
- 04
Close the operational loop
The system persists every request, records status changes in an audit log, sends outcome notifications, and gives internal teams search, filtering, reporting, and manual override controls.
Results & impact
Faster access without giving up control.
The finished system automates the common path, preserves a human decision point for ambiguity, and gives every applicant a clear outcome.
less validation time
Automated research and decision routing remove most of the repetitive work from instructor access reviews.
hours saved per year
The production workflow turns a recurring manual process into a scalable, real-time service.
confidence-based paths
Requests resolve to automated approval, manual review, or denial based on grounded evidence and explicit thresholds.
Visual assets
One request, three transparent states.
Tech stack
Built for production.
Built as a unified full-stack application spanning the applicant experience, validation API, AI-assisted research, confidence-based decision logic, approval routing, email notifications, persistence, audit logging, and internal operations tooling.