What are the biggest hurdles you've encountered with AI-powered real-time customer engagement?

Question

AI has helped improve engagement but creating real-time responses brings unique issues in architecture and latency. Any solutions or frameworks that you’ve found particularly helpful?

Violetta Chernobuk · Accepted Answer

One of the biggest hurdles with AI-powered real-time customer engagement is balancing automation with personalization. AI can deliver responses quickly, but it’s challenging to make them feel genuine and relevant to each customer. Another issue is data quality—AI is only as good as the data it’s trained on, so if there are gaps or inaccuracies, the engagement suffers. Additionally, integrating AI across multiple customer touchpoints smoothly can be technically complex and sometimes disrupts the customer experience.

Kushal Gandhi · Answer

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Savilia Lastero · Answer

Getting the tone right is tough! I ended up using a hybrid model with rule based responses for sensitive cases helps keep things more human.

Shawn Idrees · Answer

Scalability was a headache. Moving to microservices and using Kubernetes has helped me handle spikes without crashing my system

Answer

Latency was a huge problem for me! Switched to lightweight model with edge deployment, and it’s sped things up noticeably.

What are the biggest hurdles you've encountered with AI-powered real-time customer engagement?

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