AI As A Catalyst: How trust, governance, and human judgement become the real advantage

Implementing AI within knowledge workflows is often framed as a technical challenge. In reality, it’s an organizational one. This guide brings together practical insight, real-world studies, and strategic thinking to help librarians and knowledge managers navigate AI adoption.

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More about the guide

In this guide, we explore how AI can act as a catalyst for change within organizations to reshape how they think about knowledge, decision-making, and trust.

As AI adoption accelerates, many information professionals are being asked to do more, often with limited clarity around ownership, governance, or expectations. Drawing on expert analyses and reports, this guide examines how AI can act as a catalyst for better workflows.

With decades of experience supporting knowledge teams, Vable understands both the pressure to innovate and the importance of getting it right.

Frequently Asked Questions

Why shouldn’t we rush to implement AI tools?

Because speed without clarity increases risk. This guide explains how starting with questions, governance, and small pilots leads to better outcomes than rapid, unstructured adoption.

How can AI reduce workload without reducing trust?

By focusing on using AI where it can add genuine value, while maintaining transparency and human oversight, knowledge teams can save time without sacrificing quality or accountability.

What role should librarians and knowledge managers play in AI adoption?

A central one. From overseeing information quality to defining boundaries for AI use, this guide outlines how information professionals can lead AI conversations rather than react to them.

AI As A Catalyst: How trust, governance and human judgement become the real advantage

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