FARA, Process-Aware Platform
FARA is an intelligent, process-aware platform for universities and higher education institutions that synergizes AI, natural language understanding, and deterministic workflow orchestration to make complex academic, research, and administrative procedures smooth, rapid, and secure from initial question to finalized action.
How do complex academic processes turn into speed and simplicity?
Students, faculty members, and staff lose hundreds of hours annually navigating disconnected systems, vague forms, and in-person follow-ups. FARA ends this exhausting cycle.
Confusion between Golestan, Research, and Learning systems
Disconnected software, multiple credentials, and repetitive data entry across portals that leave users frustrated and confused.
A single point of contact for all university services
Direct and unified access to academic processes through natural language interaction, without requiring technical knowledge of convoluted menus.
Exhausting bureaucracy and frequent request rejections
Inexact knowledge of required documents, incorrect file uploads, and exhausting back-and-forth between student and academic staff.
Step-by-step guidance and automatic data extraction
AI-powered data extraction from proposal documents, transcripts, and credentials, with pre-submission format validation before routing to administrative inboxes.
Lack of case status visibility and wasted time
Cases stalled in inboxes, continuous physical visits for signatures, and applicant's complete unawareness of current request status.
Step-by-step monitoring and automatic task routing
Transparent case forwarding among professors, department head, and academic office, accurate action timestamping, and real-time progress notifications to the applicant.
Inconsistent enforcement of regulations and procedural guidelines
Frequent regulation amendments, lack of comprehensive awareness of clauses, and contradictory staff answers causing legal ambiguity.
Deep understanding of regulations and deterministic legal citation
FARA's specialized RAG engine extracts responses directly based on the latest approved university bylaws, appending valid article numbers and clauses.
FARA 4-Pillar Architecture: Synergy of AI & Deterministic Process
Intelligent separation of natural language understanding layer from institutional rule execution layer; where AI understands request intent and the process engine guarantees execution validity, security, and certainty.
AI Probabilistic Reasoning vs. Deterministic Workflow Certainty
The greatest flaw of traditional AI systems is entrusting deterministic legal decisions to probabilistic statistical models. FARA solves this through structured architectural layering: AI interprets natural language user intent, while the deterministic workflow engine enforces regulatory precision, validates prerequisites, and executes steps flawlessly.
1. Human Oversight & Human in the Loop
Students, supervisors, department heads, and academic officers are primary actors. All vital decisions, signatures, and final authorizations remain strictly under human control, with AI serving as accelerator and advisor.
2. Institutional Knowledge & Regulations
Dynamic knowledge base encompassing latest approved Ministry bylaws, Graduate Studies Council resolutions, thesis formatting guidelines, academic calendars, and university process workflows serving as the foundation for every legal response and citation.
3. Process-Aware AI & NLU
Conversational and formal NLU engine, intent detection from natural user inquiries, case history summarization, and OCR document processing for automated form extraction without imposing technical jargon.
4. Deterministic Workflow Engine
Deterministic, rule-based execution engine guaranteeing prerequisite checks, conditional gateways, inbox task routing, SLA tracking, and immutable audit logging with robust security.
Four Intelligent & Integrated Pillars at the Heart of FARA
Harmonious synergy among AI, deterministic workflow, document processing, and institutional knowledge base transforming higher-ed experience and eliminating bureaucracy.
Process-Aware Smart Assistant (Natural Interaction)
Conversational comprehension and intent detection from colloquial and formal expressions; guiding student and faculty step-by-step toward the right process without searching disparate portals.
- Identifying applicant intent from textual messages
- Resolving academic ambiguities and questions in natural dialogue
- Intelligent mapping of dialogue to forms and process milestones
Deterministic Workflow Engine
Rule-based and deterministic process orchestration; strict gateway validation, academic prerequisite checks, and automated routing among staff, professor, and department head.
- Step-by-step execution without logical errors
- Intelligent and automated task routing to authorized stakeholders
- Timeline monitoring and educational deadline adherence (SLA)
Document Intelligence & OCR
Automated data extraction from transcripts, proposals, and certificates, structure alignment with university standards, accompanied by review UI for staff final approval.
- Intelligent data field extraction from PDF and image files
- Pre-submission validation of document format and schema
- Human-in-the-Loop oversight for definitive verification
Retrieval-Augmented Generation & Regulatory Knowledge (RAG)
Semantic search and document retrieval engine generating answers to academic inquiries directly cited from latest resolutions, guidelines, and legal clauses.
- Deterministic citation of article number, clause, and resolution date
- Comprehensive AI statistical hallucination prevention (Anti-Hallucination)
- Rapid knowledge base updates with new resolutions and circulars
5 Intelligent Steps from Inquiry Formulation to Official Action Execution
In FARA, every academic request is processed in a transparent, rule-compliant lifecycle; from natural language query receipt to bylaw review, process engine validation, and final action recording.
Natural Expression of Goal
Student or professor expresses inquiry or request in natural language (text or voice) without searching bylaws or confronting convoluted forms.
Intent Analysis & Data Extraction
AI analyzes user intent and extracts necessary fields from transcripts, proposals, and attached files using OCR document vision.
Bylaw Alignment
RAG engine checks study duration extensions, credit caps, the 30% plagiarism threshold, and legal prerequisites via semantic search.
Process Engine Validation
Deterministic workflow engine evaluates conditional gateways and routes case without error to the responsible officer adhering to timelines.
Official Decision & Instant Notification
Approval is recorded by supervisor or staff, an immutable audit log is created, and case status is immediately notified to applicant.
Natural Expression of Goal by Applicant
Student or professor expresses inquiry or request in natural language (text or voice) without searching bylaws or confronting convoluted forms.
Intelligent Intent Recognition & Data Extraction
AI analyzes user intent and extracts necessary fields from transcripts, proposals, and attached files using OCR document vision.
Automated Regulation Alignment (RAG)
Institutional knowledge base checks study extension terms, credit unit caps, the 30% similarity threshold, and prerequisites via semantic search.
Deterministic Process Engine Validation
Deterministic workflow engine evaluates conditional gateways and routes case without error to the responsible officer adhering to timelines.
Official Decision Registration & Real-Time Notification
Approval is recorded by supervisor or staff, an immutable audit log is created, and case status is immediately notified to applicant.
Seven Core Academic Workflows; from Supervisor Selection to Graduation
FARA converts the exhausting bureaucracy of graduate procedures into a conversational, stepwise, transparent flow where every milestone aligns strictly with academic bylaws.
Thesis Supervisor Selection & Assignment
After fulfilling requisite coursework, student logs supervisor preferences based on research interests. FARA systemically queries available supervision quotas, routing dossier to faculty inbox for consent and chair approval.
Submission & Approval of Research Proposal
Student uploads proposal document; FARA processes the document to extract formatting schema, abstract, and research variables, verifying similarity certificate. Upon supervisor approval, case is directly scheduled for departmental graduate council.
Obtaining Thesis / Dissertation Defense Permit
FARA process engine validates course credit completions, financial clearance, and statutory minimum timeline (at least 4 months in Master's); issuing jury notice authorization after Form 2 and final manuscript upload.
Defense Session Execution & Jury Management
FARA orchestrates scheduling and internal/external jury coordination, pre-configuring session rubrics. Post-session, individual examiner scores are aggregated and mean grade is secured via electronic signature.
Final thesis grade entry & post-defense revision monitoring
Post-defense, SLA countdown is triggered. Student uploads revisions and appends changes log. Following online approval by the revisions reviewer and publications scoring, final grade is directly entered into record without in-person follow-ups.
Comprehensive Clearance & Graduation
Graduation clearance that formerly took weeks is dispatched in parallel to 5 administrative units in FARA; checking library, dorm, and tuition clearance to deliver provisional certificate swiftly.
Military service affairs, study deferment extension and cancellation
Monitoring academic calendar and study extension quotas, FARA issues timely notifications before critical military service cutoffs, automatically generating extension or cancellation filings.
A Glimpse into FARA's User Interface & Smart Dashboard
Screenshots from FARA's operational environment; engineered for student simplicity, faculty efficiency, and comprehensive administrative transparency.
Student Interactive Dashboard AI Assistant & Chat Knowledge Base & Documents Process Management Center
Real-time case status, natural language interaction, open tasks, and step-by-step process guidance. Smart conversational response, intent recognition, Golestan SIS integration, and step-by-step case guidance. Document management, processing Word and PDF files, data extraction, and indexing status of university regulations. Monitoring published processes, drafts, knowledge base documents, and centralized RAG & regulations management.
Secure Architecture, Regulatory Compliance & Coexistence with University Systems
Engineered with data governance, AI guardrails, and granular access controls, FARA fulfills strict confidentiality requirements and administrative frameworks of higher education institutions.
Role-Based Access Control (RBAC)
Multi-tier access matrix aligned with higher education governance; clear segregation of responsibilities for students, supervisors, examiners, staff, and graduate council based on principle of least privilege.
- Fine-grained duty and privilege segregation in educational inbox
- Temporary delegation management of supervisor and council authority
- Immutable audit trail logging for all decisions and case workflows
AI Security Guardrails
Preventing hallucinated outputs through bounding models strictly to regulations, filtering sensitive data, and enforcing Human-in-the-Loop controls on decisions.
- Exclusive citation-grounded response generation based on approved university bylaws
- Preventing leakage of sensitive data or comprehensive exam questions
- Oversight and final validation by academic officers before executing formal decisions
Governance & Confidentiality of University Data
University data sovereignty over research documents, proposals, and dissertations; multilayer encryption in transit and at rest, with on-premise deployment option.
- Zero training of public models on university research documents and dissertations
- Advanced encryption at database tier and communication channels
- Capability for On-Premise server deployment or dedicated university private cloud
Separation of Knowledge Base from Personal Data
Structural isolation of public regulations repository from student personal records; safeguarding student privacy while delivering accurate responses to academic queries.
- Data-driven, indexed repository of Ministry of Science bylaws and resolutions
- Isolation of user identity, grades, and student administrative correspondence
- Regulation versioning and applying rules based on student admission year
Frictionless coexistence with current university infrastructure via secure API layer
FARA is not designed to abruptly replace incumbent systems; rather, it acts as a process accelerator alongside existing infrastructure via standard APIs and secure message exchanges.
Golestan Student Information System (Golestan SIS)
Exchange of academic status, completed credits, financial standing, and automated proposal approval / thesis defense prerequisites via secure web services.
Virtual Learning System (LMS)
Coordination of virtual defense sessions, research seminar assignment submissions, and seamless access to graduate course materials.
Administrative Correspondence Automation
Automated routing of council resolutions, defense minutes, and jury appointments to secretariat and administrative systems (Didgah, Chargoon, Peyvand, etc.).
Single Sign-On (SSO / CAS)
Effortless login for professors and students using valid university credentials without creating duplicate accounts or changing passwords.
On-Premise Deployment
Installation in university datacenter and on-premise servers
Standard API Middleware Layer
Secure integration with Golestan, Moodle, and Office Automation
Identity Data Segregation
Separation of academic documents from student personal information
University Data Governance
Institutional ownership of research documents and papers without external dependencies
Addressing key university institutional concerns;
Transparency in Pilot Selection & Deployment
Answers to the most frequent inquiries from Academic Vice Deans, Graduate Studies Directors, IT Center Heads, and university professors regarding functionality, security, and FARA deployment.
Have a question that is not listed here?
FARA's academic solutions team is ready to address your questions.
If you require custom consultation regarding your faculty circumstances, specialized bylaws, or university IT security requirements, speak with our team.
Generic chatbots merely generate text based on probabilistic language models without comprehension of execution logic, bureaucratic stages, or student standing. In contrast, FARA is a specialized process-aware system coupled with a smart workflow engine that not only provides citation-backed legal answers but also drives requests step-by-step through academic approvals.
No; FARA in no way replaces the university's educational systems or enrollment portals, but rather coexists alongside them as an intelligent interaction layer and accelerator. By establishing secure communication with the university's existing systems, it streamlines complex graduate processes (such as specialized course enrollment, defense, and proposal approvals) for users.
Information security in FARA is anchored on Academic RBAC, strict AI guardrails, and structural segregation of public bylaws from private student dossiers. Institutional data is heavily encrypted and never utilized for general LLM model training.
No; zero error does not exist in document vision systems. Recognizing the critical nature of academic credentials, FARA enforces a 'Human-in-the-Loop' approach: draft data extracted from worksheets or certificates is always presented to student and staff for review and approval prior to final commit.
Yes; FARA utilizes dedicated RAG knowledge architecture. All bylaws, thesis formatting standards, research council decisions, and institutional circulars are individually indexed, ensuring AI responses are exclusively cited from these sources.
Supervisors, advisors, examiners, and department heads receive dedicated inboxes. By summarizing student academic records, recommending bylaw alignments, and drafting defense minutes, FARA drastically slashes faculty administrative burden.
FARA connects to Moodle LMS through standard LTI 1.3 protocols and secure REST web services. This integration enables online defense sessions, research seminar grading, and direct course resource access without juggling portals.
Yes; FARA enterprise edition supports complete on-premise deployment on university datacenters and local servers within an isolated network without external internet reliance, ensuring full data sovereignty resides with the university IT center.
During the university pilot phase, tailored to chosen faculty priorities, high-volume workflows like proposal approval, plagiarism check, thesis defense jury coordination, and research clearance are deployed in an isolated sandbox and tested with real users.
To start, simply complete the demo request form at the bottom of this page. Following an initial contact and scheduling an online or in-person session, a tailored test environment reflecting your university bylaws will be deployed and pilot contract terms submitted to council.
Intelligent Automation of Your University Graduate Studies Processes
To assess requirements, evaluate regulatory alignment, and launch a pilot deployment in your faculty or university, please fill out the form below.
University pilot request successfully submitted!
FARA academic solution specialists will contact you within 24 business hours to coordinate an evaluation and demo session.
Direct Communication with FARA Development & Support Team
For specialized consultations, technical institutional inquiries, or evaluating specific faculty requirements, feel free to contact us directly:
Consultation & Sales Direct Line
+98 913 307 7460Official University Inquiries
info@payahub.irMeeting Reception Hours
Saturday to Wednesday: 8:00 AM – 5:45 PM (Tehran, Iran Time)
Our Commitments during Demo & Pilot Phase
- Live scenario demonstration tailored to active university processes (student & faculty service dashboard)
- Technical data model review and secure integration assessment with the educational system and LMS without altering their architecture
- Provision of an isolated Sandbox environment for staff and faculty evaluation
- Complete alignment of AI guardrails with approved university bylaws and regulations