WEBINAR SERIES
Join our team of Knowledge Engineers in this series of webinars exploring the ins and outs of knowledge engineering, a growing field that bridges business expertise and AI systems.
Introduction
AI is moving fast and many organisations are running into the same questions:
- How can we make sure our AI systems give answers our experts would agree with?
- How can we trust the answers they produce?
- And how do we understand why a system reached a particular conclusion?
That’s where knowledge engineering comes in. It’s the discipline that helps turn policies, documentation and expert understanding into systems that can reason clearly and consistently.
This webinar series is an opportunity to explore how that works in practice. We look at how organisations capture expertise, structure knowledge, and build AI systems that produce answers people can understand and trust.
Webinar Series Overview
Rainbird co-founder and CTO Ben Taylor hosts this five-part webinar series alongside members of Rainbird’s Knowledge Engineering team.
Each 45-minute session explores a different aspect of knowledge engineering, from the fundamentals of the field through to practical examples of how expert knowledge becomes something an AI system can work with.
If you’ve ever helped turn complex rules or expertise into something structured, whether that’s building decision trees, creating logic in spreadsheets, writing prompts, or documenting processes, you’ve already encountered the kinds of thinking Knowledge Engineers use every day.
These sessions are designed to make the field easier to understand, share practical experiences, and open up a conversation about how expertise becomes usable inside AI systems. You don’t need to be a programmer or have a technical background to follow the discussion. Curiosity and clear thinking are far more important.
Watch the Webinars
Webinar 1: Introduction to Knowledge Engineering
In this first session of the Let’s Talk Knowledge Engineering series, Ben Taylor, Rainbird CTO and co-founder, is joined by Eliza Filby, Senior Knowledge Engineer, to introduce the discipline of knowledge engineering and explain why it matters now.
Together, they outline how organisations can capture expert reasoning, structure it into transparent models, and use those models to power AI systems that are consistent, auditable, and explainable. The session also includes a live Rainbird Studio demonstration using a UK tax split-year example, showing how symbolic AI works in practice and how expert knowledge can be turned into a working reasoning model.
Webinar 2: Converting Subject Matter Expertise into Solutions
In this second session of the series, Ben Taylor is joined by Lewis Leeds, Knowledge Engineer at Rainbird, to explore how subject matter expertise is captured and turned into practical, scalable AI systems.
Together, they walk through how knowledge engineers surface the reasoning experts often leave implicit, structure that knowledge into clear models, and test it to ensure it reflects real-world decision-making. The session also includes a live Rainbird Studio demonstration, showing how concepts, relationships, and rules come together to form working knowledge graphs, and how tools like Generate from Docs can accelerate the process from documentation to model.
WEBINAR 3: Best Practices in Knowledge Engineering
In this third session of the series, Ben Taylor is joined by Lucie Hunt, VP Enablement at Rainbird, to explore how knowledge engineering projects move from early models into scalable, production-ready systems.
Together, they examine what good looks like in practice, from structuring knowledge through clear architecture and layering, to designing maintainable graphs and applying disciplined testing. The session also looks at how separating knowledge from data enables reuse across systems, and how versioning and change management help ensure models remain reliable as they evolve.
WEBINAR 4: Panel with Rainbird Knowledge Engineers
In this fourth session of the series, Ben Taylor is joined by members of the Rainbird Knowledge Engineering team, including Lewis Leeds, Lucie Hunt, and Ellie Young, for a live panel discussion focused on the realities of the role in practice.
Together, they share first-hand perspectives on how knowledge engineering projects run day to day, how teams work with subject matter experts to capture and structure expertise, and what surprised them when they first entered the field. The session offers an open and practical view of the discipline, covering everything from elicitation and modelling to testing, maintenance, and the evolving role of Knowledge Engineers alongside modern AI approaches.
WEBINAR 5: Knowledge Engineering in Practice
In this final session of the series, Ben Taylor brings together the key ideas covered across the previous four webinars and shows what knowledge engineering looks like in practice inside the Rainbird platform.
Using a Know Your Customer example, Ben walks through how a real decision problem can be structured, modelled and tested. The session covers how to start with source documentation, generate an initial knowledge graph, inspect and refine concepts and relationships, add logic, test outcomes, and review the evidence behind each decision.
The session provides a practical demonstration of how expertise can be turned into a structured, explainable model that supports consistent decision-making. It also shows how Knowledge Engineers and subject matter experts can work together to refine a model over time, ensuring it remains transparent, testable and ready for use in high-stakes environments.
Explore Further
Here are a few free resources you can explore.
Rainbird Academy
Free self-led training and certification that introduces the foundations of knowledge engineering. Visit the Rainbird Academy
A place to connect with others interested in knowledge engineering, share ideas, and ask questions. Visit the Rainbird Community Forum
A hands-on environment where you can explore how knowledge engineering works and experiment with ideas yourself. Visit the Rainbird Studio
