Deployment Flexibility
Any environment, any channel, any language, gradual or all-in automation depending on your existing environment and needs
Any environment, any channel, any language, gradual or all-in automation depending on your existing environment and needs
Introduce SmartAssist gradually or all at once with flexible deployment models that quickly increase automation while mitigating disruption to your current environment. Protect your current investments by deploying SmartAssist based on your existing infrastructure and channel strategy, or completely transform or start anew with SmartAssist CCaaS–our end-to-end AI-native contact center solution.
SmartAssist also supports on-premise, cloud-hosted or hybrid options. No matter which option you choose, set up you contact center and be up in running in a matter of hours.
Gradually enhance your existing interactive voice response (IVR) flows with conversational AI by automating simple conversational AI use cases like Store Finder, Store Hours and add more complex automations over time. This model allows you to leverage your existing infrastructure and deploy automations to all or parts of your current IVR, rolling out more automation over time based on business priority. Optionally, you can add digital channels that run the same use case automations implemented for voice.
Whether it is cloud, on premise or hybrid, we can deploy SmartAssist to fit your specific IT infrastructure needs.
Channel Support
Language Support
Enhance your customer and employee experience by communicating in their preferred language. SmartAssist, powered by the Kore.ai XO Platform, enables multilingual virtual assistants automatically. You only need to train the virtual assistant in one of your preferred languages, and the language-agnostic NLP models start engaging users in over 100 languages. You can also leverage auto-translation of the responses via translation services from Google Cloud or Microsoft.
Multilingual
The Kore.ai XO Platform offers language-agnostic NLP models enabling you to engage customers in over 100 languages. You can train the models in any of your preferred languages. The platform also allows you to build language-specific models for 25+ popular languages.
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