Disclaimers

Reports generated by Revue-ai are produced using AI models hosted on Microsoft Azure. The platform analyses documents and questionnaire responses you provide against a defined analytical methodology to produce structured findings, scores, and recommendations.

AI-generated content has inherent limitations. While the platform includes quality assurance processes to maximise accuracy, AI models can occasionally produce inaccurate or incomplete information, including assertions that are not fully supported by the source documentation.

All reports generated by Revue-ai are draft analytical aids. They must be reviewed and validated by a qualified professional before being acted upon. The platform is designed to accelerate and augment human analysis, not replace it.

For comprehensive reports, the platform includes evidence citations linking findings back to specific passages in your source documents. Findings flagged as low confidence or minimal evidence should be treated with particular caution.

We recommend that all relevant stakeholders participate in the review process to ensure the accuracy and relevance of the findings before any decisions are made.

Reports are draft analytical aids and do not constitute professional advice — including legal, financial, medical, strategic, or regulatory guidance. For professional matters, consult with appropriately qualified professionals. Reports should not be used as the sole basis for decisions without independent professional review.

Revue-ai is a UK-based company. We process your data in accordance with UK data protection laws and GDPR requirements.

• Your data is not used to train AI models. Documents and information you provide are processed solely to generate your reports and are never used to train or improve the underlying AI models. This is a contractual commitment supported by our arrangements with Microsoft.
• Data is processed in Microsoft Azure UK South and Azure Sweden Central (EU Data Zone), within the United Kingdom and European Economic Area.
• Data is encrypted at rest (AES-256) and in transit (TLS 1.2+), with role-based access controls and multi-tenant isolation at the database layer.

For full details, see our Privacy Policy.

The quality of AI-generated analysis depends on:

• The quality and completeness of the documents you provide
• The clarity and detail of questionnaire responses
• The complexity of the subject matter being assessed
• The inherent limitations of current AI technology

Reports include confidence indicators where applicable. Findings flagged as low confidence should be validated independently before reliance.

If you are purchasing a report through our website or the Microsoft Azure Marketplace, your purchase is governed by our Terms of Service.

If you have questions about these disclaimers or how our platform works, please contact us at legal@revue-ai.com.