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on 07-12-2021 02:14 PM
Catch our newly published white paper: 7 Habits for a highly effective chatbot!
The white paper contains seven highly effective habits when building your chatbot, and how ServiceNow's Virtual Agent platform sharpens these habits. These habits will ensure that your Virtual Agent implementation achieves your desired business goals and garners high user adoption. These habits have been identified and tested through hundreds of ServiceNow Virtual Agent deployments globally.
Habit 1: Identify your desired outcomes
Habit 2: Start small, Aim big. But most importantly, start!
Habit 3: Personalize the greeting experience
...
See the attached PDF below.
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Great paper, Victor!
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Thanks Victor ! It is helpful!
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Great paper! Thank you,
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https://docs.servicenow.com/bundle/quebec-now-intelligence/page/administer/virtual-agent/concept/va-topic-recommendations.html

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Topic Recommendations is a powerful tool to identify which incidents are driving volume and can be automated. If it's not mentioned, it doesn't mean it's not useful. Some customers may already have insight into the "big ticket" items they want to automate without having to run Topic Recommendations.
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As a developer working on chatbots, I find this information really useful. We require case studies emphasizing the importance of NLP to showcase during client visits and these are really great. We are also looking forward to ticket automation as our bots are currently focused on conversational AI. Moreover, we are also looking to partner with a few chatbot development company to create more innovative solutions. Any documents or case studies related to chatbots will definitely be helpful for us.
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As someone involved in building and optimizing chatbots, this white paper is definitely insightful. It’s always helpful to have structured guidelines like these, especially when working on projects that demand high user engagement and business impact. We're currently focusing on enhancing user onboarding and conversational flow while exploring advanced integrations like ticket resolution automation. Additionally, we're considering collaborating with AI chatbot development services to explore innovative approaches for scaling our solutions. Case studies or practical examples around these habits would be incredibly useful to understand their real-world impact better.