Real AI Use Cases in the Contact Centre with Luware Nimbus - Costs, Risks and Benefits
Marcel Gaufroid, Head of Sales – EU, at Luware shares a practical, step-by-step approach to implementing AI in the contact centre using Luware Nimbus, drawn from real-world experience with over a thousand customers.
Marcel Gaufroid, Head of Sales – EU, at Luware shares a practical, step-by-step approach to implementing AI in the contact centre using Luware Nimbus, drawn from real-world experience with over a thousand customers.
• Luware's three AI pillars for the contact centre: automation, augmentation, and analytics
• Why post-call transcription and summarisation are the essential low-risk first step for any AI strategy
• How post-call processing slashes LLM costs by up to 80% compared to real-time transcription
• Building a feedback loop: using verified agent interactions to train virtual users over time
• Replacing traditional IVR with AI intent detection — achieving over 90% routing accuracy for one insurance customer
• Cost realities of deploying customer-facing virtual agents and why a step-by-step approach matters
Thanks to Marcel for the practical insights.
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