Context Engineering: How Better Context Improves Enterprise AI

In this episode of Illuminating Information, futurist, author, and Humans + AI founder Ross Dawson joins us to explore how organizations can build a more effective relationship between people and AI. We discuss why leaders should look beyond automation, how to decide where humans and AI should each play a role, and why human judgement and accountability remain essential as agents gain more autonomy.Ross also shares his perspective on human-in-the-loop approaches, the risk of deskilling employees, the value of productive friction with AI, and how organizational structures could change as specialized AI agents become part of the workforce.Looking ahead, we explore what successful human-AI organizations could look like and why the companies that learn how to design these new ways of working may gain a significant advantage.

Enterprise confidence in GenAI is beginning to recover. Turning that optimism into measurable results is the next challenge.In this episode of Illuminating Information, Nicolia Wiles, President and Founder of PRIME PR, explores the findings of the Mindbreeze 2H 2026 GenAI Confidence Index Report. You’ll learn why executives and management teams view GenAI differently, where organizations expect the greatest value, and what it takes to move from AI experimentation to reliable business outcomes.https://www.mindbreeze.com/white-paper/genai-confidence-index-report-2h-2026Subscribe to Illuminating Information for more conversations about enterprise AI, knowledge management, and the future of work.

The quality of an AI-generated answer is determined long before the model produces its first word. It begins with context.In this episode of Illuminating Information, Gerald Martinetz of Mindbreeze explains context engineering and why it is essential for accurate, trustworthy enterprise AI. You’ll also learn how a relevance-first approach can reduce unnecessary token consumption, improve response times, and give AI agents the foundation they need to reason and act across business processes.Subscribe to Illuminating Information for more conversations about enterprise AI, knowledge management, and the future of work.

As enterprises experiment with larger context windows, longer prompts, and more advanced AI systems, more information can seem like the key to better results. But excessive context can increase costs, slow response times, and reduce answer precision.In this episode of Illuminating Information, Malena Kronberger, Product Owner Services & API at Mindbreeze, explains what tokenmaxxing means for enterprise AI. She discusses how tokens affect performance and cost, why retrieval strategy matters more than context-window size, and how organizations can provide AI systems with relevant, current, and permitted information.Learn how better retrieval and more precise context can reduce unnecessary token usage while improving the accuracy, predictability, and trustworthiness of enterprise AI.

Fresh from KMWorld Europe 2026, Michael Chatzilias joins Illuminating Information to discuss ethical and responsible AI in knowledge workflows. From hallucinations and enterprise risk to RAG, Agentic RAG, and trustworthy AI systems, this episode explores what organizations need to build AI people can truly rely on.

In this episode of Illuminating Information, we are joined by Jakob Praher, CTO of Mindbreeze, to explore the shift from generative AI to agentic AI and what it means for the future of enterprise work.We discuss what agentic AI is, how it differs from generative AI, and how the Mindbreeze Insight Workplace enables context-aware, goal-oriented AI experiences that help employees interact with enterprise knowledge more effectively.If you are interested in enterprise AI, automation, and the future of intelligent workplace technology, this episode offers valuable insights into one of the most important shifts shaping modern organizations.

In this episode of Illuminating Information, we are joined by Joshua Cole, Head of Technical Sales at Mindbreeze, to explore how knowledge graphs are transforming the way organizations structure, connect, and understand their data.We discuss what knowledge graphs are and how they work, including their core components such as entities, relationships, and ontologies. Joshua explains why they have become a foundational technology for enterprise search and AI, enabling more contextual search, better data integration, and more reliable generative AI.If you are interested in AI, enterprise search, or data-driven innovation, this episode offers valuable insights into one of the most important technologies shaping the future of intelligent systems.

In this episode of Illuminating Information, Joshua Cole, Head of Technical Sales at Mindbreeze, explains how RAG combines enterprise search with generative AI to produce answers grounded in secure, authoritative data. We explore how RAG works, why standalone generative AI models fall short in enterprise environments, and how access control and traceability dramatically reduce hallucinations while increasing trust.Joshua also shares the difference between traditional RAG and Agentic RAG, how vector search and semantic similarity power intelligent retrieval, and how Mindbreeze InSpire integrates Agentic workflows to deliver structured search, automated touchpoint selection, and dynamic data views. If you are exploring secure enterprise AI, this episode offers practical insight into how organizations are moving from experimentation to operational impact.

What does it take to bring AI into mission-critical public infrastructure? In this episode, Illuminating Information welcomes Jordon Lucas to discuss how Mindbreeze supports a major transportation organization in transforming information access across operations. Jordon walks through the real challenges, solutions, and lessons learned from this high-impact deployment. A must-listen for leaders in the government sector exploring AI.

In this episode of Illuminating Information, we explore the concept of the Insight Workplace, a new way of engaging with enterprise data that feels less like searching systems and more like having an informed conversation. Joined by Mindbreeze consultant Matt Plicinski, the discussion looks at how AI driven enterprise intelligence delivers hyper relevant, context aware insights exactly when they are needed. The conversation covers why traditional approaches fall short, how ideas like Insight Touchpoints and Insight Journeys help capture and reuse knowledge, and why treating AI as an intelligent agent rather than just an assistant leads to better, faster decision making.