Vijan.AI
Case StudiesEducation & EdTechWorkflow Automation

Education & EdTech

Administrative Workflow Automation

4 autonomous agents automate administrative processes from forms to scheduling. 60% time savings.

4 Autonomous Agents60% Time Saved
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Agentic AI Workflow

4 autonomous agents streamline complex administrative operations

The Challenge

Paper-based processes and manual scheduling consumed staff time that should serve students

A university processed 85,000 forms annually across registration, grade changes, transfer credits, and leave requests — many still on paper. Each form required routing to 2-3 departments for approval, with average processing time of 8 business days.

Room scheduling for 3,000 course sections was done semi-manually, resulting in 15% room utilization waste. Faculty scheduling conflicts required 200+ hours of manual resolution each semester. Accreditation compliance checks were performed annually in a frantic 6-week sprint rather than maintained continuously.

The university needed digital workflow automation with intelligent routing, scheduling optimization, and continuous compliance monitoring.

The Solution

Agents that digitize forms, route approvals, check compliance, and optimize schedules

Vijan.AI deployed 4 agents. The Form Processor digitizes paper submissions and extracts structured data from 50+ form types. The Approval Router automatically sends forms to the correct department and approver based on request type, student record, and institutional rules. The Compliance Checker continuously validates processes against accreditation standards, flagging gaps in real-time. The Calendar agent optimizes room assignments based on capacity, equipment needs, and accessibility, while resolving faculty scheduling conflicts automatically.

Autonomous Agents

How each agent reasons, decides, and acts

Step 1 · Scheduling

Classroom Scheduling Agent

Intelligent Classroom Allocation

Optimizes classroom assignments by matching course enrollment, room capacity, and equipment requirements while minimizing conflicts, autonomously resolving scheduling clashes and cascading confirmed bookings to facility management.

Input

Course catalog with enrollment numbers, time preferences, and AV requirements

Output

Optimized room assignments with conflict-free timetables

  • Calls room booking system API to retrieve available spaces with capacity, location, and equipment attributes
  • Executes conflict resolution algorithm to detect and resolve double-bookings, adjacency needs, and instructor preferences
  • Autonomous decision: assign optimal room, suggest time slot changes, or flag capacity issues to registrar
  • Cascades finalized schedules to Facility Management for setup preparation and maintenance coordination

Step 2 · Facilities

Facility Management Agent

Proactive Facility Maintenance

Manages classroom setup, equipment maintenance, and repair work orders based on scheduled usage, autonomously dispatching technicians and coordinating with exam logistics for special event requirements.

Input

Room schedules with equipment needs and historical maintenance records

Output

Completed work orders with asset status updates and readiness confirmations

  • Queries work order system to schedule preventive maintenance and respond to reported issues
  • Calls asset tracker to verify equipment inventory, location, and operational status for each classroom
  • Autonomous decision: dispatch repair technicians, procure replacement equipment, or temporarily reassign rooms
  • Forwards exam venue readiness status to Exam Logistics agent for high-stakes assessment coordination

Step 3 · Exams

Exam Logistics Agent

End-to-End Exam Coordination

Orchestrates all exam logistics including scheduling, venue setup, proctor assignment, and accommodations, autonomously managing exam materials distribution and passing records to digitization for archival.

Input

Exam calendar with student rosters, accommodation requests, and security requirements

Output

Executed exams with completed answer sheets and incident reports

  • Invokes exam manager to assign exam slots, allocate seating based on enrollment, and provision accessibility accommodations
  • Calls proctoring tool to roster trained invigilators, brief on security protocols, and track attendance
  • Autonomous decision: adjust seating for social distancing, extend time for accommodations, or escalate integrity violations
  • Delivers completed answer sheets and grade rosters to Document Digitization for scanning and permanent records

Step 4 · Records

Document Digitization Agent

Automated Records Digitization

Digitizes paper documents including exams, transcripts, and forms using OCR technology, autonomously validating data accuracy and storing in document management system while feeding process metrics for continuous improvement.

Input

Physical documents from exams, registrar, and administrative departments

Output

Digitized, searchable records with metadata and quality validation

  • Executes OCR engine to convert scanned documents into searchable text with confidence scoring
  • Calls document management system API to store files with indexed metadata for FERPA-compliant retrieval
  • Autonomous decision: auto-approve high-confidence scans, flag low-quality images for manual review, or re-scan illegible pages
  • Feeds digitization quality metrics and processing times back to workflow optimization for administrative efficiency gains

Results

Measurable impact within 90 days of deployment

60%

Time Saved

Administrative processing time reduced 60%. Average form completion reduced from 8 days to 2 days.

30%

Better Room Utilization

Room utilization waste eliminated. Space optimization deferred $4M in planned building expansion.

Zero

Compliance Gaps

Continuous compliance monitoring replaced annual audits. Zero accreditation findings at last review.

15 FTE

Staff Reallocated

Administrative staff redirected from form processing to student-facing services and support.

Implementation

From pilot to production in 12 weeks

Week 1-4

Agent Design & Tool Integration

Defined agent capabilities, connected ML model, rules engine, graph DB, and chargeback API tools. Configured orchestrator routing logic.

Week 5-8

Shadow Mode & Autonomous Tuning

Agents ran in shadow mode on 10% of transactions. Tuned decision thresholds, tool call parameters, and feedback loop retraining frequency.

Week 9-12

Full Autonomous Deployment

Production rollout across all channels. Agents operating fully autonomously with human-in-the-loop for critical escalations only.

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