AI Terms

1. Introduction

1.1. These AI Terms ("AI Terms") are incorporated into and made part of the Terms of Service ("Terms") or the Enterprise License Agreement signed between Customer and MOURI Tech LLC, doing business as MouriQualAI ("Provider"), for the use of AI-powered Quality Engineering products and services. The term "Agreement" as used in these AI Terms shall mean either the Terms or the executed Enterprise License Agreement, as applicable. Unless otherwise defined herein, capitalized terms have the meanings given to them in the Agreement.

1.2. The purpose of these AI Terms is to reflect the parties' agreement regarding Customer's use of AI-powered Quality Engineering products and services, in accordance with the requirements of applicable AI laws, regulations, and standards — including but not limited to ISO/IEC 42001, the EU AI Act, GDPR, SOC 2, and HIPAA where applicable.

1.3. These AI Terms apply to all of MouriQualAI's generally available AI-powered features, including but not limited to: AI Test Generation, AI Test Orchestration, Agentic QE Workflows, Platform-level AI Analytics, and any AI features made available under the Bring Your Own LLM (BYOLLM) or Bring Your Own Cloud (BYOC) deployment models.

1.4. These AI Terms are aligned with MOURI Tech's AI Principles:

• Responsible AI: Ensuring fairness, accountability, and explainability in all AI-powered features, as detailed in Section 4.
• Customer Trust & Ethics: Protecting data privacy, integrity, and enabling ethical use of AI in quality engineering workflows.
• Security by Design: Embedding robust security controls, monitoring, and safeguards across all AI workflows and deployment models.
• Human Oversight: All AI outputs are intended to assist qualified engineers — not replace human judgment — and must be reviewed before use.

2. Customer Responsibilities

2.1. Lawful Use

Customer is solely responsible for ensuring that all Inputs (including test execution data, prompts, queries, code, or any other content submitted to MouriQualAI's AI-powered features) are lawful, non-infringing, and compliant with all applicable laws and regulations. Customer must not submit Inputs that contain personal data, sensitive information, or regulated content unless a Data Processing Addendum (DPA) is in place with Provider.

2.2. Human Oversight

Customer acknowledges that artificial intelligence and machine learning are rapidly evolving fields, and that AI-generated Outputs are probabilistic in nature. MouriQualAI's AI-powered features may produce Outputs that are inaccurate, incomplete, or unsuitable for a particular use case. Customer must apply reasonable human oversight and review all Outputs for accuracy and appropriateness before relying on them for critical business decisions, software release activities, or production deployments.

2.3. Bring Your Own Cloud (BYOC) Responsibilities

Where Customer deploys MouriQualAI within their own cloud environment under the BYOC model, Customer is solely responsible for:

• Procuring, configuring, securing, and maintaining the Customer Environment (AWS, Azure, GCP, or private cloud) to meet the minimum specifications set out in the Documentation.
• Ensuring all security controls, access management, network policies, and compliance requirements applicable to their cloud environment are properly implemented.
• All data processed within the Customer Environment — Provider does not have access to Customer Data stored in the Customer Environment unless access is explicitly granted for support purposes.
• All cloud infrastructure costs, including compute, storage, networking, and egress fees.

2.4. Bring Your Own LLM (BYOLLM) Responsibilities

Where Customer configures MouriQualAI to use their own large language model(s) under the BYOLLM model, Customer is solely responsible for:

• Procuring, licensing, hosting, and maintaining their chosen LLM(s), including compliance with all applicable third-party LLM terms of service, usage policies, and data handling obligations.
• Ensuring their chosen LLM does not introduce bias, harmful content generation, or other risks into quality engineering workflows.
• Validating the quality, accuracy, and suitability of all AI Outputs generated using Customer-provided LLMs — Provider does not warrant Output quality for non-certified LLMs.
• Complying with the applicable third-party LLM provider's acceptable use policy, data residency requirements, and privacy terms.
• All costs associated with Customer-provided LLM API usage, tokens, subscriptions, and hosting.

2.5. Restrictions

Customer agrees not to:

• Use AI-powered features in violation of the Agreement, these AI Terms, or Provider's Acceptable Use Policy.
• Employ AI Outputs for harmful, unlawful, discriminatory, or deceptive purposes.
• Attempt to reverse-engineer, extract, replicate, or misuse any AI Model, prompt architecture, orchestration logic, or underlying AI Component provided by Provider or its third-party licensors.
• Use AI-powered features outside the intended scope of software testing, QA, DevOps, and quality engineering workflows.
• Use Outputs to train, fine-tune, benchmark, or improve any external, competing, or third-party AI system.
• Perform systematic prompt injection, adversarial probing, or model behavior analysis for competitive intelligence purposes.
• Submit personal data, health records, financial data, or other regulated information as Inputs without an executed DPA.
• Use AI-powered features to generate malicious code, security exploits, or harmful content of any kind.

3. Provider Responsibilities & Commitments

3.1. Data Protection & No Training on Customer Data

Provider will not use Customer Data (including test execution data, Inputs, Outputs, or Usage Data) to train, re-train, or fine-tune any AI Models that are made available to other customers. Customer Data remains the property of Customer and is processed solely to deliver the Software functionality.

3.2. Model Integrity

AI Models provided by Provider (including any fine-tuned or customized versions built for a specific Customer) are secured within Provider's governed platform and made available exclusively for that Customer's use.

3.3. Exclusive Model Customizations

Any Model customizations or fine-tuned Models developed using Customer Data will be made available exclusively for that Customer's use and will not be shared with, disclosed to, or used for any other customer or third party.

3.4. Anonymized AI Data Usage

Provider may process anonymized and aggregated AI Data (i.e., Inputs and Outputs that do not constitute personally identifiable information and cannot identify Customer, Customer Affiliates, or any third party) to improve system performance, monitoring, and platform security. Such processing will not include any Customer Data in identifiable form.

3.5. Third-Party Models & Services

Certain AI-powered features may incorporate third-party AI Models, APIs, or frameworks (e.g., third-party LLM APIs, libraries, or inference services). Where such services are used in Provider-default mode:

• Provider ensures compliance with applicable licensing terms, security standards, and ethical AI obligations for those third-party services.
• Provider will disclose which third-party AI services are used in the Documentation and will update that disclosure when material changes occur.
• Customer must also comply with applicable third-party terms and acceptable use policies as identified in the Documentation.
• Data processed through third-party LLM services in Provider-default mode may be subject to those providers' terms and privacy policies — Customer acknowledges this by using such features.

3.6. BYOLLM — Provider Limitations

Where Customer uses their own LLM under the BYOLLM model, Provider's responsibilities are limited to the Software integration layer only. Provider does not warrant, control, or assume any liability for the performance, availability, data handling, security, or compliance of Customer-provided LLMs or the third-party providers hosting them.

3.7. BYOC — Provider Limitations

Where Customer deploys MouriQualAI within their own cloud environment under the BYOC model, Provider's responsibilities are limited to the Software itself. Provider shall not be liable for any failures, security incidents, data loss, compliance gaps, or performance issues arising from Customer's infrastructure, network, cloud configuration, or environment management.

4. Business Ethics & AI Principles

4.1. Fairness & Non-Discrimination

Provider strives to ensure that MouriQualAI's AI-powered features are developed and deployed in a manner that reduces bias and promotes fairness, consistent with ethical AI standards. Customers are expected to apply human review to prevent harm, discrimination, or unfair outcomes resulting from AI Outputs.

4.2. Transparency & Explainability

Provider provides documentation, usage guidance, and disclosures to help Customers understand the scope, intended use, limitations, and known risks of AI-powered features. Provider will communicate material changes to AI models or methodologies through the Documentation or release notes.

4.3. Human-in-the-Loop

MouriQualAI's AI-powered features are designed to assist — not replace — human testers, developers, and DevOps engineers. Customer remains solely responsible for final decisions, approvals, and actions taken based on AI Outputs. No AI Output should be used as the sole basis for a software release, security decision, or compliance determination without human review.

4.4. Ethical Use of AI

Provider is committed to AI governance practices consistent with its Code of Business Ethics, Responsible AI Principles, and applicable international AI standards and regulations, including ISO/IEC 42001 (AI Management Systems), the EU AI Act, GDPR, SOC 2 Type II, HIPAA (where applicable), and CMMI DEV/5. Provider will not knowingly deploy AI features for high-risk uses that are prohibited under applicable AI regulations without appropriate safeguards.

4.5. Security by Design

AI workflows within MouriQualAI are built with security-by-design principles, including access controls, audit logging, data isolation, and threat monitoring. Security controls applicable to BYOC and BYOLLM deployments are documented in the Security Documentation available at mouritech.com/mouriqualai/security.

5. General

5.1. These AI Terms supplement the Agreement. In the event of a conflict between these AI Terms and the Agreement, these AI Terms shall control solely with respect to the subject matter herein (AI-powered features and services).

5.2. Provider may update these AI Terms to reflect evolving regulatory, ethical, or product requirements. Material updates will be communicated with at least 30 days' advance notice and will not materially reduce Provider's obligations during a Customer's active subscription or license term.

5.3. Beta AI Features: Any beta, preview, or experimental AI features (including early BYOLLM integrations or new agentic workflow capabilities) are also governed by these AI Terms; however, such features may have different reliability, availability, and compliance commitments than generally available features. Beta features are provided "as-is" without SLA commitments.

5.4. Provider reserves the right to suspend access to AI-powered features if Customer is found to be in material breach of these AI Terms, the Agreement, or any applicable third-party terms — including misuse of BYOLLM or BYOC capabilities in a manner that creates legal, security, or reputational risk for Provider.

5.5. These AI Terms shall be governed by the laws of the State of Texas, USA, consistent with the governing law of the Agreement.

6. Definitions

• Acceptable Use Policy: Provider's acceptable use policy, available at mouritech.com/mouriqualai/aup.
• AI Components: Any machine learning models, LLMs, algorithms, prompts, orchestration logic, and workflows used by or embedded in the Software.
• AI Data: Inputs and Outputs that do not constitute personally identifiable information and cannot identify Customer or any individual.
• AI-Powered Features: AI-powered products and services provided by MouriQualAI, including AI Test Generation, AI Test Orchestration, Agentic QE Workflows, and Platform-level AI Analytics.
• BYOC (Bring Your Own Cloud): A deployment model in which Customer deploys and operates the Software within their own cloud or on-premises infrastructure.
• BYOLLM (Bring Your Own LLM): A deployment model in which Customer configures the Software to use their own licensed or self-hosted large language model(s) in place of or in addition to Provider-default models.
• Customer: Any entity that executes an Agreement and/or Order Form for access to MouriQualAI products and services.
• Customer Data: All data, code, inputs, and materials provided, uploaded, or processed by Customer or on its behalf within the MouriQualAI platform or Customer Environment.
• Customer Environment: The cloud, on-premises, or hybrid infrastructure owned and operated by Customer in which the Software is deployed under the BYOC model.
• Input: Prompts, queries, test data, code, instructions, or any other content submitted by Customer to AI-powered features.
• Model: An AI or machine learning model powering an AI-powered feature, developed by Provider, licensed from a third party, or provided by Customer under the BYOLLM model.
• Output: Any test cases, test scripts, reports, insights, recommendations, or AI-generated content produced by MouriQualAI's AI-powered features in response to an Input.
• Statistical Insights: Aggregated and anonymized usage data derived from platform usage that does not identify Customer or include Customer Data.
• Test Execution Data: Any information, including application data, logs, reports, test artifacts, execution metadata (e.g., test status, duration, name, browser sessions), and related materials that is uploaded to, processed by, or transmitted through MouriQualAI by or on behalf of Customer during testing activities.

7. Contact

For questions about these AI Terms, to report a violation, or to request documentation on our AI governance practices, please contact: