Most AI deployments fail to generate meaningful returns. Large-scale organizational surveys show that unprofitable deployments are the norm. Yet for a minority of companies, AI automation has produced substantial productivity growth.
This workshop provides a clear framework for how to deploy AI successfully, illlustrated by case-studies from real organizations. The workshop uses insights from current research in cognitive science and AI to provide an actionable road-map for how to make people and AI work effectively together.
Enquire about this workshop →Companies often deploy AI systems based on vendor guidance. We explain how to implement an independent approach for evaluating whether a given AI deployment actually works as expected, and avoid accumulating operational costs.
The workshop covers experimentation, study design, and best measurement practices for ensuring that AI systems deliver in conjunction with human expertise.
Enquire about this workshop →AI systems develop quickly. To stay competitive, organizations need to think about AI tool capabilities in ways that are forward-looking and realistic: Which types of work can be delegated to AI today? Which will it handle in the near future? Which essential knowledge do employees need to have to work effectively with AI systems?
This workshop reviews technical AI capabilities in intuitive ways, and introduces an actionable framework for deciding how to combine automation and human judgment to maximize productivity. We also discuss organizational knowledge management and training programs that can suport your employees in working effectively with AI systems as they continue to evolve.
Enquire about this workshop →AI systems can now solve problems that were open for decades. How does this changes what skills are worth developing within your training programs?
This workshop covers foundations of learning science toward a practical question: When do humans learn effectively and how? The workshop discusses organizational knowledge management around high-leverage expertise and essential skills needed to work with modern AI systems.
Enquire about this workshop →A non-technical 2-hour workshop covering the core concepts underlying modern AI — transformer architectures, attention mechanisms, embeddings, fine-tuning, and decision boundaries — explained without mathematics. Designed for senior leaders and decision-makers who need to ask the right questions and understand what is currently possible and impossible with AI systems.
Participants leave with a durable conceptual framework for navigating AI decisions.
Enquire about this workshop →A technical workshop for developers and researchers with strong mathematical backgrounds. Covers architecture design, attention mechanisms, training dynamics, scaling laws, fine-tuning and alignment methods, and current capability and failure mode research.
Draws on primary literature and goes beyond surface-level implementation to address the theoretical foundations of modern language models and their empirically observed limits.
Enquire about this workshop →The standard entry-level workshop package includes:
For more interactive or customized sessions, including exercises, facilitated discussion, or deeper work on organizational use cases.
For extended workshops, multiple sessions, larger groups, or engagements requiring substantial customization or follow-up. Pricing depends on format, duration, customization, audience size, and additional preparation or follow-up requirements.
Tell us about your organization and what you're trying to accomplish — we'll propose a format that fits.