Knowledge Management in the Age of AIA 3-hour workshop on building knowledge systems that improve both human and AI performance
Every contact center depends on knowledge. Whether it's helping agents answer questions faster, creating a consistent customer experience, or reducing training time, the quality of your knowledge base has always mattered.
AI has only amplified the importance.
Your AI is only as good as your knowledge base. If you're moving toward agentic AI, none of it works without a knowledge foundation that's accurate, structured, and current. Most contact centers aren't there yet, and they don't find out until the AI starts confidently giving wrong answers.
The same problem shows up with chatbots and agent-assist tools. They can genuinely lighten the load on your team, but only to the extent they understand what you actually know. A chatbot built on outdated or scattered knowledge doesn't help your agents, it just hands them a more confident-sounding version of the same bad answer.
This session isn't about adopting a particular tool. It's about building a knowledge management strategy that helps your agents perform better while giving your AI the foundation it needs to deliver accurate, trustworthy results. We'll explore the evolving landscape of knowledge tools, what separates successful implementations from disappointing ones, and what high-performing contact centers are doing differently.
This course is for you if you:
You'll leave with: A Knowledge Readiness Checklist, a practical tool for auditing your current knowledge base against what both your agents and your AI tools need to actually perform.
Format: 3-hour virtual workshopAudience: Contact center leaders responsible for knowledge management, training, quality, AI, or customer support operations.
Format: 3-hour virtual workshop
Virtual workshop
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