When projects conclude, much of the most valuable learning disappears with them. In this hands-on workshop, led by Victoria Koestner, an approach is introduced for uncovering tacit knowledge, converting it into meaningful stories (with AI support, not replacement), and embedding these methods into organisational learning and Communities of Practice.

The session begins with a concise theoretical framing that places tacit knowledge, narrative practice, and AI-assisted storytelling within knowledge ecosystems. Participants will awaken their intangible knowledge through a guided “thought journey.” Utilising pairwise interviews, they reflect on past experiences and craft story prototypes supported by generative AI. They will also reflect on the dynamics of speaking and listening during the interview process.

The second half features breakout sessions (in a World Café format) to share stories, reflect on “aha” moments, and surface practical lessons. After the introduction of the Tacit Knowledge Canvas, participants identify concrete first steps they can bring into their organisations to improve their KM practices. Attendees will leave with story prototypes, useful templates (e.g., the Canvas, Interview Guide), and a clear plan to integrate narrative-based learning into their knowledge management work.

The adoption of AI in the enterprise presents unique and significant challenges, moving beyond basic productivity improvements in developing textual content. Organisational complexity includes content in multiple languages, inconsistent "copies," important information embedded in trade names and numeric data, and the critical need to maintain security trimming. Furthermore, a major challenge across all sectors is identifying and managing the ad hoc use of workarounds by individuals, often referred to as "Shadow AI.”

This focused workshop aims to address these critical issues by concentrating on the development of effective governance frameworks for AI, rather than discussions about technological advancements. Facilitated by two experienced consultants with a wide range of experience in information and knowledge management applications across Europe, the USA, and Asia, this session enables attendees to share their ambitions, objectives, successes, and concerns with peers. Held under the Chatham House rule, participants will engage in vital discussions to tackle the complexities of AI adoption in modern enterprise ecosystems.