Security & Compliance
Our approach to artificial intelligence.
We use artificial intelligence to enhance speed, quality, and innovation across our platform.
AI allows us to automate repetitive tasks, improve research workflows, and deliver faster insights, while maintaining strict human oversight and data protection.
Our principle is straightforward:
AI should enhance human expertise, not replace accountability.
We use AI across certain areas of our platform and operations to improve efficiency and insight quality. These may include:
Survey and research design assistance
Open-ended response coding and analysis
Insight summarization and theme detection
Automation of repetitive research tasks
Quality checks and data validation
Workflow optimization and productivity tools
AI is used as an assistive technology to support researchers and teams, not as a fully autonomous decision-maker.
All client-facing outputs remain subject to human review and oversight.
We maintain a human-in-the-loop approach across all AI-assisted workflows.
This means:
AI-generated outputs are reviewed by humans before delivery to clients
Strategic decisions are never made solely by AI
Researchers and analysts remain accountable for final outputs
Clients can request human-only workflows where required
AI can accelerate our work, but responsibility always remains with our team.
Protecting client and respondent data is a core priority.
We maintain strict policies governing how AI interacts with data:
Client data is never sold or shared with third parties for model training
Sensitive research data is not used to train public AI models
Access to data is restricted using least-privilege access controls
Data is handled in accordance with applicable privacy regulations
Secure cloud infrastructure and encryption are used to protect data
Internal AI usage follows strict confidentiality standards
Where external AI providers are used, they are evaluated for enterprise-grade security and privacy compliance.
We believe organizations should understand how AI is used in the tools and services they rely on.
We are committed to transparency regarding:
Where AI is used within our platform
How AI assists research and analysis
Limitations of AI-generated outputs
Safeguards in place to protect data
Human oversight applied to all deliverables
Clients may request additional information on how AI is used within their specific projects or workflows.
We design and monitor AI-assisted processes to support fairness and accuracy.
Our approach includes:
Reviewing outputs for potential bias or misinterpretation
Testing workflows across varied datasets and use cases
Avoiding use of AI in ways that could result in discriminatory outcomes
Maintaining human review for sensitive or strategic analysis
AI is a tool, and like any tool, it must be used responsibly.
All AI tools and integrations used within our organization undergo internal review before adoption.
We evaluate:
Data handling practices
Security standards
Compliance posture
Reliability and accuracy
Alignment with our responsible AI principles
We continuously review and update our AI practices as technology and regulations evolve.
AI technology is advancing rapidly. Our policies and practices evolve alongside it.
We regularly review our AI usage to ensure:
Responsible deployment
Strong governance
Ongoing compliance with emerging regulations
Alignment with client expectations and trust
Our goal is to remain both innovative and responsible in how we deploy AI.
If you have questions about how we use AI or how data is handled within our platform:
Contact:
dataprotection@qfisolutions.io
Q-Fi Solutions Inc.
We welcome dialogue and are committed to transparency in how AI supports our clients and partners.