What are they?
The Pathlight CI Auto-Generated Tags feature automatically detects and labels evolving trends, prospects, and potential challenges in conversations. Crucially, these tags spotlight previously unrecognized themes within your dialogues.
How does it work?
When the Large Language Model (LLM) evaluates that a conversation revolves around a specific topic or issue or notices a possible trend, it creates an appropriate tag for that interaction. For instance, if a discussion touches upon a compliance concern, the LLM will automatically assign a relevant tag, such as "Compliance Issue" to the conversation.
Benefits of the Feature:
Auto-Generated Tags offer a slew of advantages:
- Hands-Off Insights: You don't just have to configure a tag to uncover common trends or themes, as Pathlight CI will automatically create tags for you on what it sees ensuring that you always know what is happening in your conversations.
- Spot Emerging Trends: Easily recognize patterns, allowing for more informed decision-making.
- Uncover Hidden Risks: Proactively detect potential issues like fraud or compliance breaches.
- Understand Your Customers Better: By immediately grasping the core themes of conversations, you can more deeply understand and respond to the Voice of the Customer.
Difference Auto-Generated Tags and Custom Tags:
While Auto-Generated and Custom Tags both aim to categorize conversations effectively, their setup and application differ. Custom Tags are based on predefined criteria you set up in the Conversation Pipeline. They're specifically crafted to detect conversations based on user-defined themes or topics. In contrast, Auto-Generated Tags are the AI's spontaneous response to emerging sentiments and themes within conversations without needing prior configuration.
If you would like to learn more about Custom Tags, click here.
We hope this was helpful! Please submit a ticket here if you have any questions or need further assistance.