Responsible AI Statement

1. Purpose

Web Inventix AI advises on, configures, integrates, deploys and uses artificial intelligence and automation tools to address defined business problems.

We believe these tools should support clear business outcomes while respecting privacy, human rights, security, safety and human decision-making.

This Responsible AI and Ethical Use Statement applies to AI tools configured or integrated by Web Inventix AI, third-party AI models and platforms used in approved client workflows, automation systems that use AI-generated classifications, recommendations or content, internal AI tools used to support our services, and prototypes or production workflows delivered as part of an approved engagement.

The controls used for an engagement depend on its purpose, users, data, possible harm, operating environment, contractual requirements and applicable law.

2. Business Purpose First

We begin with the business problem and intended outcome.

We do not recommend AI solely because AI is available.

Where a simpler process change, existing product or non-AI automation can solve the requirement, that option should be considered.

3. Human Accountability

People remain responsible for material business decisions.

AI may assist with research, drafting, classification, summarization, routing, recommendations or other approved tasks, but automation should not remove appropriate human judgment.

Higher-impact decisions require stronger review and escalation.

4. Data Minimization

Use the minimum information reasonably required for the approved task.

Do not place confidential, personal or sensitive information into an AI system unless:

• the purpose is defined
• the organization has authority to use the information
• the selected tool and account settings are appropriate
• access and retention considerations have been reviewed
• the information is limited to what is reasonably required

5. Client-Controlled Systems

Where practical, production AI accounts, repositories, hosting, API accounts, data stores and other core systems should be controlled by the client.

This reduces unnecessary vendor dependency and makes access, ownership and handover clearer.

6. Approved Tools and Vendor Review

AI providers differ in:

• data use
• model-training settings
• retention
• processing location
• access controls
• security features
• contractual terms
• administrative controls

Tool selection should consider the business use, data sensitivity and client requirements.

A tool that is suitable for public marketing copy may not be suitable for confidential customer records.

7. Transparency

People should know when AI plays a material role in a process where that knowledge affects reasonable expectations, rights or review.

The level of disclosure depends on the context.

Web Inventix AI does not support presenting AI output as independently verified fact when it has not been reviewed.

8. Accuracy and Verification

AI systems can make mistakes, omit context and produce unsupported information.

Appropriate use may include:

• source checking
• human review
• approval steps
• confidence thresholds
• exception handling
• testing with representative examples
• maintaining access to the source material

The required level of review should increase with the potential impact of an error.

9. Bias and Fair Treatment

AI systems may reflect bias in training data, prompts, business rules or source information.

For uses that may affect people materially, organizations should consider:

• who may be affected
• whether the source data is appropriate
• whether outputs show systematic differences
• whether a human can review or challenge an outcome
• whether the use is appropriate at all

10. Privacy

Personal information used with AI remains subject to applicable privacy obligations.

Web Inventix AI's Privacy Policy describes our general approach to personal information.

Client-specific projects may require additional privacy, contractual, security or legal review.

11. Security

AI tools are part of the broader security environment.

Organizations should apply appropriate access control, account ownership, authentication, secret management, logging and incident-response practices.

Public prompts and front-end code must not expose API keys, passwords or private credentials.

12. General-Purpose Model Training

Web Inventix AI does not currently train general-purpose AI models or provide general-purpose model-training services.

We do not use information submitted through this website, including Contact enquiries or AI Business Efficiency Audit submissions, to train general-purpose AI models.

Where third-party AI tools or service providers are used, their handling of information is subject to the applicable provider terms, settings, security measures and privacy practices, together with any client-approved configuration.

13. Automation Boundaries

Do not fully automate a process solely because it can be automated.

Human approval should remain in a workflow where judgment, money, contractual commitments, safety, employment, privacy, regulatory obligations or material customer impact require it.

14. Testing Before Expansion

Start with the smallest useful implementation.

Before expanding an AI-enabled workflow:

• test it with realistic inputs
• identify failure modes
• confirm ownership
• measure the intended result
• document manual fallback
• verify that people know how to use and review it

15. Monitoring and Change

AI providers and models change.

A workflow that worked when deployed may need review after:

• provider changes
• model changes
• policy or law changes
• material process changes
• new data sources
• unexpected incidents
• a change in the business use

16. Prohibited or Unsupported Uses

Web Inventix AI may decline work where the proposed use:

• is unlawful
• lacks appropriate authority to use the data
• creates an unreasonable safety or rights risk
• attempts to conceal material automated decision-making where disclosure is required
• requires a regulated professional judgment that should not be delegated to an AI system
• cannot be supported responsibly with the available controls

17. Incident Response

If an AI-enabled workflow produces a material error, security issue, privacy concern or other unexpected impact, the appropriate response may include:

• stopping or limiting the automation
• preserving relevant logs
• notifying the responsible client owner
• correcting affected records or outputs
• reviewing the cause
• changing prompts, tools, permissions or workflow rules
• obtaining legal, privacy, security or other professional advice where appropriate

18. Roles and Responsibilities

Web Inventix AI may provide assessment, configuration, implementation, training, governance guidance or project oversight.

The client remains responsible for:

• business decisions
• lawful authority to use its data
• internal policies
• employee instructions
• approvals
• regulated obligations
• final decisions made using AI-assisted information

Specific responsibilities are governed by the applicable engagement documents.

19. Status of This Statement

This statement describes Web Inventix AI's general responsible AI principles.

It does not replace:

• a client agreement
• statement of work
• privacy policy
• data-processing agreement
• security requirements
• acceptable-use policy
• industry-specific obligations
• applicable laws
• qualified professional advice

Specific project commitments are governed by the applicable written agreement.

20. Contact

Questions about this statement may be sent to: