When it comes to implementation, the most important thing you need to know is that we adapt to you. Our cloud-based solutions integrate with your current technical environment. We recognize that your systems are unique to your company, but Verascape has implemented thousands of IVR applications and most likely has experience with the same type of systems or something very similar. You can rest assured that the Verascape implementation process is timely and painless.

Discovery

This is a series of conversations between our implementation teams to lay out the goals and objectives, expectations, and timelines. This also allows us to understand your current protocols and IT and telephony infrastructure.

Development

The Verascape team does all the heavy lifting when it comes to the IT work. Our developers build the VUI/GUI, integrate with your telephony infrastructure, both in-house and/or outsourced, and develop the API’s necessary to integrate with data systems, whether they are standard platforms or homegrown.

Test

Before we go live with any application, we go through a rigorous Q&A process to ensure that all of the systems are working correctly in every scenario. Your team gets the final sign-off to make sure that everything is working the way its supposed to.

Go Live

Once your application(s) are fully tested and approved, they are put into live production. We monitor all systems very closely to ensure that everything is working properly. We maintain a tremendous amount of data on every interaction. In addition to providing real-time reporting, we can export this data to you for internal analysis.

Analyze and Optimize

Verascape generates and maintains a tremendous amount of data on every customer interaction. We continuously analyze and optimize every aspect of an application to ensure the best customer journey and highest success rates.

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Give your customers conversational speech and chatbot self-service solutions across all communication channels powered by artificial intelligence, real-time data integration, natural language processing, machine learning, and advanced analytics.

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