AI is here. And it’s evolving at an unprecedented pace
The demand for AI services, products, and solutions is driving accelerated adoption of these systems across all business sectors. To meet this demand, it’s essential to leverage all the opportunities and innovations that AI offers while also managing the associated risks.
Wherever you are on your AI journey, we’re here to help you implement responsible AI practices by establishing reliable governance systems, policies, and risk management at the enterprise level, maximizing your benefits. With expertise in legal technology, experience design, and data science advisory, we understand not only the complex regulatory landscape but also how to build AI solutions that are compliant, trustworthy, and responsible.
How We Work With You
Responsible AI Assessment
This 15-minute session helps you identify key aspects to consider in developing responsible AI systems. The assessment provides a score for your company’s current position regarding responsible AI, taking into account jurisdiction and industry specifics. For example, companies in highly regulated sectors, such as finance, government, and healthcare, face a higher risk multiplier. Upon completing this free assessment, you’ll receive a detailed report analyzing your responses and recommendations for improvement.
Workshops
Following the assessment, our team can provide a detailed review of your score, along with recommendations and ideas to enhance your existing AI products or potential use cases so they align with AI development best practices. We offer three types of workshops based on your company’s readiness for AI adoption:
- Intention Statement Workshop — This workshop can be held at any stage of AI development and serves as a starting point for strategic AI investments (for growth or regulatory protection), where we help define the expected value from your AI systems.
- Activation Workshop — For already developed AI systems, this workshop supports the integration of responsible practices. We work with your data science and engineering teams to analyze code and processes, aligning development practices with your overall company strategy.
- Acceleration Workshop — For AI systems not yet developed, this workshop accelerates AI planning and design using a multi-level approach, aimed at fostering responsible AI development throughout the company, increasing visibility, acceptance, and proactive management.
Product-Level Gap Analysis and Roadmap Development
We examine your AI/ML product’s input data, requirements, and assets to assess compliance with organizational objectives and jurisdictional requirements. We identify potential issues, such as bias, discrimination, and security vulnerabilities, and provide a roadmap with recommended mitigation measures. We help you develop guiding principles aligned with your unique corporate culture to govern responsible AI development. Our engineers and data science experts can assist in updating or modifying high-risk AI systems, making your solutions more responsible and compliant with standards.
Enterprise-Wide Responsible AI Transformation
Global management and business processes may have gaps in responsible AI coverage and visibility at the process and code levels. We conduct audits and system checks to ensure AI health while also helping your stakeholders and developers implement responsible AI measurement and documentation standards. Our team of experts assists in developing an operational model that includes the organizational structure, processes, and practices necessary to integrate responsible approaches throughout the AI lifecycle. This top-down and bottom-up approach provides you with comprehensive visibility into the health of AI systems, viewed through the lens of responsible AI criteria.
