Meet our Agent QA Reviews feature: Faster evaluations and targeted feedback
With our data-driven QA review process, there’s no more wasting time manually sifting through agent conversations.
Here at EdgeTier, we've just reached a milestone on the EdgeTier system. We are introducing our first Generative AI feature to the product: Interaction Summaries. This feature pulls out the most important points from every customer conversation, so it’s faster to understand what happened. It will definitely save you lots of time if you’re someone…
Here at EdgeTier, we’ve just reached a milestone on the EdgeTier system. We are introducing our first Generative AI feature to the product: Interaction Summaries.
This feature pulls out the most important points from every customer conversation, so it’s faster to understand what happened. It will definitely save you lots of time if you’re someone who reads through customer chats and emails every day.
We’re data enthusiasts at heart, keen to ensure that your insights are powered by the latest advancements in AI tech. It was a rewarding journey bringing this feature to life, and this launch signals the start of a transformative wave of GenAI features that will redefine the EdgeTier experience.
So let’s dive in further.
The Interaction Summaries feature offers concise bullet-point summaries of your customer interactions. When you open an interaction, you can now quickly review this section to get info on customer sentiment, primary issues discussed, and resolutions provided, so you can make informed decisions without sifting through the entire conversation.
To develop this feature, we built a new service that combines the power of Claude AI and AWS Bedrock. Here’s a closer look at the technology behind our AI-powered summarisation:
Claude AI: Uses a large language model (LLM) to understand and distil conversations into essential points. First, you pick an interaction to summarise. Then, Claude AI analyses the conversation’s context, uses our prompts to detect the key elements of the interaction, and generates a coherent summary for you.
AWS Bedrock: Provides the robust and scalable infrastructure needed to process these summaries efficiently. It ensures that our AI models run smoothly and deliver reliable results, so we can display the summaries for you in just a few seconds.
Custom Prompts: In collaboration with our expert Data Science team, we’ve developed tailored prompts that guide the AI in pinpointing the most relevant information in each conversation. These prompts ensure that the summaries are not only accurate but also insightful, highlighting the main reason for contact, your customers’ emotions, and the solutions offered by the agent.
We realise that introducing new services that process conversation data could raise concerns. Rest assured, EdgeTier remains fully ISO27001 compliant. When you use our new LLM features, we can ensure that your information will remain secure and private.
With our all-in-one conversation intelligence platform, contact centres can analyse 100% of support conversations in real time, react faster to customer issues and deliver actionable insights, benefiting your entire business.
I’m incredibly excited about the potential of Interaction Summaries to save time and raise awareness of what’s going on in your contact centre. To quote our CEO, Shane Lynn, “The new wave of AI, ‘Large Language Models’ (LLMs), can’t do everything (yet). However, they are exceptional at processing batches of text. Any business process involving lots of messages, content, text, or communications will benefit from this technology. Customer service is the obvious place, and there’s huge enthusiasm (and perhaps some hype!).”
With our data-driven QA review process, there’s no more wasting time manually sifting through agent conversations.
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At EdgeTier, we’re thrilled to announce that we have achieved ISO 27001 certification, awarded by the British Assessment Bureau. This
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