Background
Organizations today are surrounded by vast amounts of information, yet turning that information into trusted, actionable knowledge remains a major challenge. In an increasingly digital and AI-enabled workplace, businesses must ensure that knowledge is not only captured, but also easily accessible, shared effectively, and applied in ways that improve decision-making, collaboration, and operational performance.
KM Day London 2026 on 17 September, brings together Knowledge Management leaders, business professionals, digital workplace teams, and technology innovators to explore how modern organizations are evolving their KM practices to meet changing business needs.
The event focuses on how organizations are strengthening the way knowledge is managed, accessed, and applied across teams and systems. As AI becomes embedded into enterprise tools and workflows, the ability to connect knowledge with action has become a critical capability for modern businesses.
Designed for Knowledge Managers, Heads of KM, information and learning professionals, digital workplace leaders, and business transformation teams, KM Day London 2026 offers practical insights and actionable strategies for building knowledge-driven organizations that can adapt, innovate, and thrive in a rapidly evolving business environment.
Attendees will leave with new ideas, proven approaches, and valuable connections to help strengthen knowledge practices within their organizations and unlock the full value of collective expertise.
What to expect
KM Day London 2026 is designed as a practical, discussion-led event focused on how organizations are evolving their approach to knowledge in a digital and AI-enabled workplace.
Attendees can expect a mix of real-world case studies, expert-led sessions, and interactive discussions that go beyond theory and focus on how knowledge is actually managed, shared, and applied inside modern enterprises.
The event will highlight how leading organizations are improving access to knowledge, reducing friction in workflows, and enabling better decision-making through more connected and intelligent knowledge systems.
Rather than abstract frameworks, sessions will focus on lived experience — what works, what doesn’t, and how KM is adapting as AI becomes embedded into everyday work.
Attendees will also have opportunities to engage directly with speakers and peers, exchange practical insights, and explore approaches they can apply within their own organizations immediately.
08:45- 09:20
Registration
09:20- 09:25
Navigo Introduction & Welcome
09:25 -09:30
Introduction to Sponsors and Supporting Bodies
10:05 – 10:35
The Instruction Set: How to drive more trusted, accurate answers into AI
Speakers: Vernon Lees, Manager Pre-Sales EMEA, eGain
Abstract: Knowledge management has spent decades making information findable for people. AI has quietly changed the assignment. The same articles, policies, and procedures are now being read by systems that answer customers directly, and those systems cannot infer what a colleague would have inferred.
That shift puts knowledge managers at the center of enterprise AI. When AI gives a wrong answer, the root cause is rarely the model. It is the duplicate article nobody retired, the policy that contradicts another policy, the process that only ever lived in someone's head.
This keynote looks at how leading organizations are treating knowledge as instruction for AI: structured, governed, and continuously evaluated rather than published and forgotten. Drawing on lessons from large-scale deployments, we will examine what changes in the KM operating model and how knowledge teams can own the layer that decides whether AI delivers instant, trusted answers or confident nonsense.
AI Is Having a Knowledge Management Problem
Speaker: Lianne Sherlock, Head of Knowledge Services, Olivery Wyman
09:30 –10:00
Abstract: Organisations are moving quickly to deploy generative AI, but many are discovering that the barriers to successful implementation are not really AI problems at all. They are knowledge problems: fragmented content, unclear ownership, duplication, poor governance, weak findability and uncertainty over which sources can be trusted.
This session explores what AI implementation is revealing about the health of enterprise knowledge environments, and why strong knowledge management is becoming increasingly critical to successful AI adoption. Drawing on practical experience, it will look at the foundations organisations need to put in place, the common issues that emerge as pilots move towards enterprise use, and the changing role of KM in helping organisations turn AI experimentation into sustainable business value.
Attendees will leave with a practical lens for assessing whether their knowledge environment is genuinely ready for AI.
10:40 – 11:10
Legacy KM Can’t Carry the AI Mandate: Building the Knowledge Foundation for the Age of AI
Speakers: Jan Štihec, Director Data & GenAI, Shelf.io
Jiva Finn, VP Sales, TTEC Digital
Abstract: AI has dramatically raised the bar for knowledge management, but most knowledge teams are still working with systems built for an earlier mandate. The traditional pillars of KM - governance, search, publishing, ownership, and lifecycle management - remain essential, but they are no longer enough on their own. Enterprise AI depends on knowledge that is continuously accurate, structured, properly contextualized, governed, and ready for use at scale. In this session, we’ll explore why legacy KM tooling struggles to meet that requirement, where common workarounds fall short, and what a fundamentally new approach looks like. We’ll also look at how AI itself can help knowledge teams automate quality analysis, uncover conflicts and gaps, add missing context, and continuously improve the knowledge layer.
11:50 – 12:20
Forget Strategy. Build the Operating System.
Speaker: Darryl Wing, Director- Knowledge Management, Flour
Abstract: Stop trying to prove knowledge management pays. Stop rebuilding your program every time the strategy shifts. Build the capabilities every company needs regardless of what it does, and watch the strategy come to you.
Table 1
What is the right place and role for KM to take best advantage of AI?
Host: Rob Taylor, KM Consultant, AIxKM
Table 2
Communities as a Safeguard for Critical Tacit Knowledge in the Age of AI: Lessons from KM4DEV
Host: Rocio Sanz, KM Consultant
Table 3
Who Owns the Answer? Governing Knowledge Quality When AI Does the Talking
Host: Vernon Lees, Manager Pre-Sales EMEA, eGain
Table 4
The AI Context Problem and how Your Knowledge can fix it
Host: Thomas Glenton-Forsdike, Enterprise Account Executive, Shelf.io
Speak to Your KM Markets to Be Heard
Speaker: June Huang, Consultant, KIMformatics
14:15 –15:00
Abstract: As artificial intelligence accelerates the pace of digital transformation, today’s workplace increasingly resembles a marketplace of competing frameworks, tools, and management approaches. In this crowded landscape, the message about the value of Knowledge Management is often diluted. Yet the need for organisations to manage their information and knowledge effectively has never been more critical for managing risk, assuring quality, enabling innovation, and ultimately sustaining performance.
To gain attention and influence, KM professionals must learn to “speak the language” of their audiences. Rather than relying solely on traditional business case arguments, this session introduces a practical approach: understanding the different KM “markets” within an organisation and aligning KM messages with the frameworks and priorities those audiences already recognise. By drawing on the language and concepts of established disciplines—such as business process management, project management, change management, and organisational development—KM can be positioned as an enabler of outcomes that leaders already value.
This interactive session will share practical techniques and suggestions of how to make KIM relevant, relatable, and persuasive to management and stakeholders (20 minutes). Participants will then discuss in small groups (3–5 people) to explore their own organisational contexts and develop stronger, audience-focused KIM business cases (20 minutes). A plenary discussion will conclude the session, enabling shared learning and reflection.
Join this session for practical insights, peer exchange, and actionable ideas to strengthen how you advocate for KIM in your organisation.
15:05 –15:35
Keep, Replace, Lose: The Knowledge Paradox at the Heart of Transformation
Alison Bulbeck, Deputy Head Business Change, National Armaments Director Group- MoD
Abstract: TBC
16:05 – 16:35
Being and Doing in the knowledge age -
How reflections on transactional and relational approaches makes us more effective
Speaker: Andrew Herd, Project Lead, KMLandscape
Abstract: TBC
16:40 – 17:25
Closing Keynote- Is anyone driving the bus?
Dave Snowden, Chief Scientific Officer, The Cynefin Co
Abstract:
As children, we used to go on Magical Mystery Tours: you got on the bus, the driver knew where you were going, you didn't. The AI vendors are offering the same mystery, except this time it isn't clear there's a driver at all, and the consequences of getting it wrong are cognitive decline, poor decision-making, and a loss of human capacity for abductive insights. At the same time, AI can unlock capability through hybrid solutions.
This closing keynote introduces a staged method for deciding where AI genuinely belongs in your organisation's knowledge work, and where it doesn't. It covers how to safeguard the judgment and accountability that quietly disappear when a task gets automated, why hybrid human-AI arrangements outperform either alone, and the underused role neurodiversity plays in sense-making, including why the people who spot what a system misses are often the same people standard training design overlooks. Come with your hardest AI decision. Leave with a method for making it.
Speakers
Speakers
Call for Speakers
We’re looking for dynamic thought leaders, industry experts, and innovative entrepreneurs to bring their insights and passion to our event. Whether you're eager to share your vision across key areas or prefer to contribute to our Panel Discssion sessions, we’d love to hear from you.
To get involved, please fill out the speaker response form and submit your presentation proposal. Join us in shaping the conversation!
Platinum Sponsor
Call for Sponsors
Partner with KM Day London 2026 to position your brand at the centre of conversations shaping the future of enterprise knowledge, AI, and operational intelligence.
KM Day brings together Knowledge Management leaders, digital workplace teams, enterprise architects, and business transformation professionals who are responsible for how organisations capture, manage, and apply knowledge in an increasingly AI-enabled environment.
As a sponsor, you will engage directly with senior practitioners and decision-makers who are actively shaping knowledge strategy, evaluating tools, and driving transformation within their organisations.
Sponsorship provides opportunities to:
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Build meaningful relationships with enterprise KM and digital leaders
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Position your brand in front of a highly targeted, practitioner-led audience
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Showcase solutions that support knowledge, AI, and enterprise information workflows
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Engage in high-quality conversations with potential buyers and influencers
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Align your organisation with the future of knowledge-driven business
Media Partners
Venue:
The Shannon Suite
Copthorne Tara Hotel London Kensington, Scarsdale Place, Kensington, London, W8 5SR,
United Kingdom