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The Complete Academic Integrity Ecosystem


HonestIQ provides an end-to-end academic integrity ecosystem that handles everything from AI detection and plagiarism analysis to grading, dispute resolution, reporting, and institutional governance. Our platform promotes ethical AI use, minimizes false flags, and gives institutions the tools to manage academic integrity with transparency, precision, and confidence  


Built for Institutional Oversight​

HonestIQ unites instructors, administrators, and integrity committees in a single connected system. From the moment an assignment is flagged to when a resolution is finalized, every action is logged, auditable, and guided by fairness.

Why Institutions Choose HonestIQ


Ecosystem Approach: Manage every integrity process from detection and dispute to grading and analytics in one secure platform.

Promotes Ethical AI Use: Encourage responsible and transparent AI engagement without penalizing innovation.

Promotes Ethical AI Use: Encourage responsible and transparent AI engagement without penalizing innovation.​

Instructor Validation Layer: Flagged notifications can only be triggered by instructors who have been trained to use their judgment after reviewing all evidence in the Honest Report.

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Institution Wide Oversight: Track integrity health across courses, departments, and semesters from a single dashboard.

FERPA, GDPR, and SOC 2 Compliant: Built for global standards in data protection, encryption, and academic accountability.

Responsible AI Governance

HonestIQ helps institutions promote ethical and transparent AI literacy rather than restrict its use.

Administrators can:

  1. Define AI-use policies and thresholds at the institutional, department, or course level.
  2. Enable instructors to set contextual detection settings within approved limits.
  3. Provide students with clear guidelines for responsible AI assistance.
  4. Track AI-related writing behavior and compliance trends across time.

“Responsible AI isn’t about punishment it’s about clarity, fairness, and accountability.”

Instructor Validation Safeguard

Before any flagged notification is sent to a student, HonestIQ follows a multi-stage validation process led by trained instructors. This ensures every concern is grounded in evidence, context, and professional judgment not automation.

Step 1: Draft Flag Creation Step 2: Instructor Review of EvidenceStep 3: Instructor Decision & ValidationStep 4: Administrator Oversight (Optional)

Step 1: Draft Flag Creation

When an assignment exceeds AI or plagiarism thresholds, HonestIQ generates a draft flag that is visible only to the instructor. A detailed Honest Report accompanies the flag, breaking down detection data, confidence levels, and contextual analysis to guide instructor review. At this stage, the student is not notified ensuring the case is privately reviewed first.

 

Step 2: Instructor Review of Evidence

 The instructor carefully examines all components of the Honest Report, including:

• Sentence-level AI probability and influence scores

• Authorship consistency and stylistic variance

• Citation and plagiarism findings

• Contextual indicators such as tone, structure, and coherence

This review allows instructors to apply their academic expertise, ensuring that only credible, evidence-based flags move forward.

 

Step 3: Instructor Decision & Validation

After reviewing the data, the instructor determines whether escalation is warranted.

• Confirm Flag: If the evidence supports the concern, the instructor validates the flag and triggers the official notification to the student and administrators.

• Dismiss Flag: If determined to be a false flag or inconclusive, the instructor documents their reasoning and clears the case.

In both instances, the outcome is logged in the Integrity Logbook for full transparency and future auditing.

Step 4: Administrator Oversight (Optional)

Administrators and department heads can review instructor-validated or dismissed cases in the institutional dashboard. This secondary layer of oversight ensures consistency, fairness, and policy alignment across the institution.


Every flagged case is reviewed, validated, and approved by a trained instructor before it becomes official ensuring fairness, accuracy, and institutional confidence.

Dispute Resolution W​orkflow

From flag to fairness , HonestIQ  ensures that every flag is handled with discretion, transparency, and fairness. ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​

Flag Generation

When thresholds are exceeded, HonestIQ generates a draft flag visible only to the instructor. A detailed Honest Report is created, outlining evidence, confidence levels, and reasoning.

Student Notification & Appeal Opportunity

The student is notified through the portal and given the option to provide context or initiate an appeal.

Instructor Validation

The instructor reviews the Honest Report using their professional judgment to determine if escalation is warranted. If confirmed, the instructor manually triggers the official flagged notification to the student and administration.

Integrity Committee Review

The anonymized case (student identified only by ID) is distributed among members of the Integrity Committee instructors, administrators, counselors, and when appropriate, student representatives. Each member reviews independently, submits findings, and votes on resolution.

Final Resolution & Honest Report

Once a decision is reached, both the instructor and student receive an outcome summary supported by a detailed Honest Report that includes timestamps, reviewer notes, and data evidence.

Integrity Logbook & Recordkeeping

Every action, comment, and decision is automatically logged in the Integrity Logbook providing a transparent, tamper-proof audit trail for future reference.

  Fair. Transparent. Data-Driven. Every step, every flag, every resolution.