Knowledge Sharing to Knowledge Empowerment: An AI-Powered Transformation

Are you struggling to create simple processes that encourage colleagues to share valuable knowledge and content across your organization? Do you face the challenge of producing meaningful content efficiently in the era of generative AI? This session explores how Mercer’s Knowledge Management (KM) Team reimagined their entire KM strategy by redesigning work processes and integrating AI-driven solutions to make knowledge sharing smarter, faster, and more collaborative.

Mercer’s approach tackles both tacit (unstructured) and explicit (documented) knowledge by automating content management, streamlining creation workflows, and generating multi-format outputs using generative AI. The team’s innovations have unlocked the potential of existing knowledge assets, reduced manual effort, and increased engagement across global teams.

Participants will learn techniques to:

• Apply practical skills and strategies—drawn from real Mercer examples—to implement AI-driven KM initiatives, including automation, new content models, and capturing tacit knowledge
• Gather and prioritize stakeholder requirements, build persuasive business cases, and secure leadership buy-in and funding for AI and KM projects.
• Plan and execute high-impact proofs of concept, optimize resources, and measure and communicate value in a fast-changing AI landscape, supported by live demos and practical tips.

Attendees will leave with real-world strategies for harnessing generative AI to modernize knowledge sharing, improve efficiency, and drive measurable transformation in their own organizations.

You can view the presentation slides for this session in the APQC Resource Library.