What do I do? Where do I start? We have the answers.
Our Responsible AI services are the first step to understanding your organizational and AI system maturity, based on RAI objectives & standards.
Turn AI Responsibility from a Challenge into a Competitive Edge
Transform Your AI from Risk to Responsibility
Avoid the pitfalls of unchecked AI—partner with us to ensure your technology is responsible, transparent, and trusted.
As an innovative organization, you face immense pressure to innovate and deliver at speed. But in the rush to deploy, critical ethical and compliance issues can be overlooked, leading to risks that could damage your reputation, alienate customers, or even lead to regulatory penalties.
To help you navigate these challenges, we provide audits and actionable insights to ensure your generative AI systems not only uphold global standards of responsibility and transparency, but that your organization has governance built into strategy and operations.
Responsible AI Organizational Audit
Our Responsible AI Organizational Audit is designed to assess your organization against industry standards and ethical guidelines. We help organizations identify gaps in organizational-level responsible AI practices by providing actionable insights and recommendations to advance responsible AI maturity.
Responsible AI Systems Audit
Our Responsible AI Systems Audit is intended for hands-on technical and managerial teams involved in the design, development, and deployment of AI systems at organizations that want to align their AI practices with responsible AI principles and global standards.
Consultation Call
We offer a 60-minute consultation to help you determine which services your organization needs, and/or to discuss your Responsible AI journey.
Affiliations, Partners, and Participation
FAQs
What is your process working in smaller projects?
Our approach is the same regardless of the size of project. We’ll align on your needs, conduct a comprehensive audit of your AI system and organization, review the findings with you, and then establish a plan for ongoing monitoring and continuous improvement.
Who is behind this service offering?
This service is provided by The Opening Door.
How did you develop your approach?
Our methodology is rooted in a deep understanding of the evolving AI regulatory landscape and best practices for ensuring responsible AI use. We combined insights from global standards and regulations with industry-leading frameworks to create a robust, multi-layered approach tailored for AI governance, safety, and technical assurance.
Our framework is built on four core pillars:
- Regulatory Alignment
We developed our approach by closely aligning with key global regulations such as the EU AI Act, which establishes a legal framework for the safe and trustworthy deployment of AI systems. We also integrate compliance considerations from other relevant regulations to address diverse jurisdictional requirements. - Standard-Based Best Practices
Our methodology draws from leading international standards such as the OECD AI Principles, ISO 42001 for AI management systems, and ISO 23894 for AI technical robustness and safety. These standards provide a comprehensive foundation for ensuring that AI systems are safe, transparent, and accountable. - Risk Management & Technical Safety
Leveraging the NIST Risk Management Framework (RMF), we adopt a systematic approach to identifying, assessing, and mitigating risks throughout the AI system lifecycle. This includes addressing technical safety considerations such as robustness, resilience, and data security. - Organizational Governance
Our RAI Organizational Audit is guided by AI governance frameworks that emphasize accountability and oversight. This includes ensuring that ethical and responsible AI principles are embedded in organizational policies, culture, and decision-making processes.
This multi-pronged approach ensures that our audits provide a comprehensive evaluation of both organizational and system-level AI risks, while promoting responsible AI practices across diverse use cases and industries.