Workshop

After you complete the free assessment, our team can help provide insight into your score, as well as guidance and recommendations for how to rethink your AI products, or hypothetical use cases, to align with best practices for developing AI technology. We offer three different workshops depending on your organizational readiness for AI adoption:

• Intention Statement Workshop, which can be conducted pre-, during or post-AI development, is a starting point for strategic AI investment (either for growth or for defense against regulatory penalties) where we lead you through expected value from your AI systems.
• Activate Workshop for AI systems already developed that helps you work toward responsible AI implementation, where we collaborate with your data science and engineering teams to examine your code and processes and align specific data science product(s) and development practices with organizational strategy and process adoption.
• Accelerate Workshop for AI systems not yet developed, where we accelerate AI planning and design through a top-down and bottom-up approach geared to evolve responsible AI development throughout your enterprise to foster visibility, adoption and proactive remediation.

Product-Level Gap Analysis & Roadmapping

We examine the inputs, requirements and assets of your AI/ML product to evaluate compliance within the defined organizational intent and jurisdictional scope. We uncover potential bias, discrimination and security issues and provide a roadmap of recommended remediation efforts. We help you create guiding principles that fit your unique company culture to govern responsible AI development practices. Our engineers and data science experts can help rebuild or remediate potentially at-risk AI systems to make your solutions more responsible and compliant.

Enterprise Responsible AI Transformation 

Global management and business functions may have gaps in responsible AI coverage and visibility at the process and code levels. We conduct audits and system checks to ensure responsible AI health, while also empowering your stakeholders and developers to adopt responsible AI standard measurement and documentation practices. Our team of experts guide you in developing an operating model that encompasses the organizational structure, processes and practices necessary to integrate responsible practices throughout the AI lifecycle. This top-down and bottom-up approach provides you with organization-wide visibility into the overall health of AI systems through the lens of responsible AI criteria.