People, Knowledge and AI: Unlocking Business Value Through Reliable Copilot Experiences
Organisations are investing heavily in Copilot, AI assistants, and intelligent search. But giving employees access to AI isn’t the same as giving them answers they can trust, use, and act on.
Organizational knowledge lives across SharePoint, procedures, policies, training materials, and operational documentation. That content can be accurate and up to date, and AI can still fail to interpret it, connect it, or return the right answer when it matters.
As more people turn to AI in their daily work, unreliable answers become more than a productivity issue — they create operational risk, weaken trust, slow adoption, and make AI’s value harder to prove.
In this practical webinar, Altuent and Graphwise cut through the AI hype to examine why AI can still give the wrong answer, even from accurate content. We’ll look at where that risk shows up, what a more trustworthy AI-enabled future looks like, and how the right knowledge layer, taxonomy, metadata, semantic context, governance, and reliability measurement, closes the gap between scattered content and trusted AI answers.
What you’ll learn:
- Why AI can generate unreliable answers from trusted content
- How unreliable AI responses create risk across operations, quality, safety, and compliance
- What organisations need to support AI adoption at the point of work
- How a knowledge layer improves AI accuracy through context, governance, and structure
- Why reliability scoring and benchmarking matter for proving AI value