AI voicebots promise a lot:
24/7 availability, better customer experience, and relief for overloaded service teams.
But in practice? Many projects still fail to deliver.
In his latest article, Marcus Wuest takes a clear-eyed look at why standard voicebots fall short—and what needs to change to make AI-driven voice assistants truly enterprise-ready.
The article explores:
✔ why generic LLM-based voicebots struggle with real business processes
✔ the risks of hallucinations and uncontrolled system access
✔ why architecture matters more than model size
✔ how AKQUINET’s AI Voicebot approach enables secure, scalable, real-time interactions
Marcus Wuest is an AKQUINET expert in Business Intelligence, AI, and data management, working across:
🔹 training & enablement
🔹 project management & consulting
🔹 managed services and custom development
He works hands-on with technologies such as Qlik, Talend, Microsoft Fabric, Copilot, Power Automate, and more—always with a focus on turning data and AI into reliable, operational business value.
This article is part of the content featured in our upcoming Technology Trends Report, but you can already read the full version on our blog!
