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, and align with best practices for developing responsible AI technology. We offer three different workshops depending on your organization’s readiness and AI adoption:

• Kick Start Workshop, which can be conducted pre-, during or post-AI development, provides an intention-based assessment geared toward crafting your leadership team’s vision for AI adoption. We assist with the co-creation of domain-appropriate responsible AI principles to guide your strategic direction and communication.
• Activate Workshop for already-developed AI systems that helps you work toward responsible AI implementation. We collaborate with your data science and engineering teams to examine your current workflows and identify opportunities that ensure AI product development is aligned with responsible AI best practices and harmonized across multiple projects. This alignment with organizational strategy and process adoption provides greater visibility into responsible AI health and enables you to move forward with greater confidence on qualified AI/ML opportunities along a mature development trajectory. 
• Accelerate Workshop for not-yet-developed AI systems, 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. Leveraging our AI use case and qualification framework, we work with your product, development and leadership teams to establish internal value networks for the successful adoption of an AI product mindset and delivery approach. Our AI operationalization framework helps you embrace full lifecycle management of AI/ML experiences and products.

Gap Analysis & Roadmapping

We work with your data science and product teams to examine the inputs, requirements and assets of your AI system 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 to ensure your enterprise is prepared in the short- and long-term. Our engineers and data science experts can help rebuild or remediate potentially at-risk AI systems to make your solutions more resilient, responsible and compliant. 

Enterprise Responsible AI Transformation 

Working with both business stakeholders and your AI/ML development teams, we help bridge the gap between your vision for responsible AI and (often distributed) development practices. We facilitate the evolution towards responsible AI development across the enterprise through visibility and proactive remediation. 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. By empowering technology stakeholders and developers to adopt standard measurement and documentation practices, you gain a harmonized view of responsible AI health that promotes shared accountability, knowledge exchange and alignment to ensure all of your AI systems across the organization are responsible.