From RAG to Conversational AI: The Next-Gen Service Engine

In service, answering a question isn’t the same as solving a problem. That’s why we're leading the shift to Retrieval-Augmented Conversation (RAC) — a new approach to AI that moves beyond one-shot answers to guide real problem resolution across your service organization.

Join us to learn how RAC helps IT and Service leaders unlock better outcomes, simplify operations, and capture the full value of AI.

For IT Leaders — Ask yourself:

Is critical tribal knowledge still hidden inside chats your AI never sees, leading to repeat escalations?
Does your GenAI know when to ask clarifying questions, or just return a one-shot answer and stop?
Are failure signals automatically feeding back into retraining to continuously improve accuracy?
Can your AI pull live data from ERP, service history, and active systems to fully resolve issues?
Could a unified service layer (web, mobile, voice) simplify your architecture and lower TCO while improving technician uptime?

For Service Leaders — Ask yourself:

Are agents and techs still escalating because AI can’t clarify missing details?
Is troubleshooting guided step-by-step, or left to interpret long blocks of text?
Are you capturing data that helps train and upskill your workforce over time?
Are junior techs learning from every interaction, or stuck repeating the same diagnostics?
How many truck rolls could you avoid if AI stayed in the conversation until the issue was fully resolved?

If you answered yes to any of these, this session is a must-see. We’ll show how RAC is transforming AI-powered service — and why this shift is critical to stay ahead.

RAG gives you answers. RAC gives you outcomes.

Calling all Service and IT leaders to join the conversation and explore the shift from RAG to RAC.

Catch the Replay!

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