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Leveraging AI in CloudFon: Compose, Optimize, Summarize

ChatGPT has redefined what it means to be a revolutionary technology. This year, we've witnessed AI mastering numerous tasks across all areas. We believe in utilizing AI for tasks it excels at, which frees us to focus on what truly matterscultivating customer connections. Since CloudFon prioritizes building exceptional customer relationships, it was essential for us to harness the latest GPT models. We have now taken the first step.

At CloudFon, AI operates as an ever-present assistant on your dashboard, guiding you through each interaction with customers. This system not only enhances agents' experiences but also guarantees quicker, more reliable, and consistent customer responses.

In the initial versionwhich we continuously improvewe've incorporated three innovative AI-driven features into CloudFon. These are designed to help users achieve:

  • Speedier customer resolutions
  • Higher quality customer support
  • Improved agent experience
  • Efficient onboarding for new agents

Explore what these three new features can and cannot offer.

Note: To access these features, ensure you connect your OpenAI account with CloudFon through your dashboard.

 

 

Generate: automated replies for agents

Envision AI crafting responses similar to what you might compose. Our Reply suggestion with AIfeature allows this to happen almost instantly.

This feature can currently provide basic answers, helping you initiate interactions by promptly drafting the questions you need to ask a customer in context.

Imagine receiving a query from a customer reporting issues with the login button. Here's how the AI could assist:

Once the AI proposes a message, you have the option to edit it as needed prior to sending.

We are dedicated to improving this function to provide more personalized and precise replies. Future iterations will be capable of interpreting a companys documentation, thereby expanding their response capabilities. They will also deliver more tailored messages by analyzing previous interactions and customer behaviors.

 

Enhance: Tone-Based Refinements

We're all too familiar with juggling several tasks while still needing to participate in a conversation. Even when we know how to reply to a customer's question, choosing the right words and tone can be tough. Doing this repeatedly throughout the day makes crafting a personalized response for each client even harder. That's where ChatGPT comes in.  

ChatGPT excels at enhancing content. Let's be honestcustomers are sensitive. A well-crafted message can:  

  • Calm an irate customer  
  • Clarify product features for customers, boosting retention  
  • Increase chances of closing a sale by employing compelling language  
  • ...and much more.  

This is also beneficial for new agents or those unaccustomed to the company's communication style.  

That's why we developed the "Improve with AI" feature, embedded within your message composer like a watchful guardian. Once your message is complete, hit the Improve with AIbutton, choose the desired tone, and witness the transformation.

 

Generate instant summaries: key points in a click

Key points often arise in exchanges with clients, offering valuable insights for all teams, including Sales, Product, and Marketing. Summarizing these discussions can be immensely beneficial.

Particularly for managers who are pressed for time, brief overviews of customer interactions offer a quick grasp of the critical topics and potential areas needing attention.

Hence, we've developed the "Summary with AI" tool to deliver concise summaries efficiently.

 

What future improvements are we considering for the AI in CloudFon?

Our main objective is to enhance the intelligence and usability of our AI systems. We're aiming to make it more reliable and effective, maintaining an affordable structure and ensuring versatility for diverse requirements.

We're in the process of investigating ways to integrate AI into various CloudFon functionalities.

At present, we utilize models from OpenAI to create responses, but we're willing to evaluate other models depending on user demand.

 

Let's talk