Organisations are investing heavily in Copilot, AI assistants, and intelligent search. But giving employees access to AI is not the same as giving them answers they can trust, use, and act on.
Across the enterprise, critical knowledge is spread across SharePoint sites, procedures, policies, work instructions, training materials, learning resources, and operational documentation. This content may be accurate and up to date, but that does not mean AI can reliably interpret it, connect it, or return the right answer in the moment of need.
As more people turn to AI for support in their daily work, unreliable answers become more than a productivity issue. They can create operational risk, weaken trust, slow adoption, and make it harder to prove the business value of AI investment.
Join us for an insightful webinar where we’ll explore
In this practical webinar, Altuent and Graphwise will help organisations step back from the AI hype and examine why AI can still give the wrong answer even when the underlying content is accurate. We will explore where unreliable answers create business risk, especially when people depend on that knowledge to make decisions, complete tasks, learn in the flow of work, or support operations at the point of need.
From there, the session will help attendees envision a more dependable future state: one where people can ask practical questions in the moment of work and receive trusted, contextual answers from existing enterprise knowledge held in SharePoint, procedures, policies, training materials, work instructions, and operational documentation. We will then show how people can trust the AI answers and organisations can begin to close the gap between scattered content and trusted AI through the right knowledge layer, including taxonomy, metadata, semantic context, governance, content structure, and reliability measurement.
Join our people, knowledge and AI webinar
Who this webinar is for:
- Leaders responsible for knowledge, learning, and workforce enablement.
- Teams deploying Copilot, AI assistants, intelligent search, or other AI technologies.
- Owners of SharePoint, intranet, and enterprise content platforms.
- Quality, compliance, and operational excellence professionals.
- Content governance, process improvement, and knowledge management leaders.
- Business transformation and digital adoption teams seeking trusted AI outcomes.
What you will learn in this webinar:
- Why AI can generate unreliable answers from trusted content.
- How unreliable AI responses create risks across operations, quality, safety, compliance, and learning.
- What organisations need to support AI adoption and new ways of working.
- What a trusted AI-enabled future looks like at the point of work.
- How existing content can become part of a more reliable knowledge system.
- How a knowledge layer improves AI accuracy through context, governance, and structure.
- Why reliability scoring and benchmarking are critical for proving AI value.
Meet the speakers
Emmet Kearney
Chief Executive Officer, Altuent
Emmet is CEO of Altuent, a company that helps organisations create trusted knowledge systems for people and AI. By combining knowledge management, content governance, and AI readiness, Altuent helps organisations unlock business value from Microsoft Copilot and other AI technologies while improving trust, user adoption, and business performance.
Having worked with organisations across multiple industries, Emmet has helped deliver digital transformation initiatives that improve how people learn, access information, and apply knowledge in the flow of work.
Emmet talks about knowledge management, content governance, Copilot readiness, and the practical application of AI to improve business performance and employee experience.
Helmut Nagy
VP Sales Enablement, Graphwise
Helmut is VP Sales Enablement of Graphwise, the provider of the Graphwise Platform a native graph AI platform. Graphwise has offices in Sofia, Vienna and New York. Graphwise Platform is used by over 200 organizations worldwide to provide semantic AI solutions. Helmut is a well-known expert in the field of knowledge management, change management and semantic AI. He has worked with global organizations to help them develop and implement their knowledge and AI strategies. Helmut is co-author of The Knowledge Graph Cookbook and the DOM GraphRAG paper.