Trust
AI Policy
Human judgment. Machine assistance.
How AIONIQ approaches the responsible use of artificial intelligence across design, technology, marketing and business workflows.
Our Approach
AI is a tool inside a human-led studio process. AIONIQ uses it to assist research, exploration and production. It does not replace authorship, client responsibility, or review.
Where AI May Be Used
- Research and ideation
- Content drafts that a person then edits
- Design exploration and image or video generation
- Coding assistance and internal automation
- Workflow systems and internal productivity
Whether AI is used on a given client project depends on the brief and the engagement documents. This page does not list every vendor.
Human Oversight
AI output is treated as a draft until it has been reviewed, edited, verified or tested as the work requires. Contextual judgment stays with the people on the project.
Accuracy & Limitations
- AI systems can produce inaccurate or incomplete information
- Outputs can be unexpected or contextually wrong
- Generated media may need legal and brand review before use
Client Data
Client materials are not automatically fed into public AI tools. When an AI-assisted workflow is part of a project, we use it in line with the confidentiality terms of that engagement and the Privacy Policy.
Confidential Information
Confidential client information remains subject to the NDA or MSA that applies. This policy does not create an absolute technical guarantee that a third-party tool will never see data; that depends on the tool, the brief, and how the work is run. See Non-Disclosure Agreement.
Intellectual Property
Ownership of deliverables is set in the client agreement. AI-assisted output can raise extra questions depending on the tool, provider, jurisdiction, inputs, outputs, licensing and the amount of human contribution. Those questions are handled in the engagement, not by this public page.
Responsible AI
- Privacy and confidentiality first
- Human oversight of external-facing work
- No invented performance claims from a model
- Transparency with clients when AI is material to the method
Contact
- talk@aioniqlabs.com
- AIONIQ Labs
- Ahmedabad, Gujarat, India
Questions about this document?