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The AI Assistant is your central hub for managing chatbot behavior – control AI responses, intent detection, contextual memory, and fallback handling. It offers automation with optimized agent availability.
In today's article, we will discuss the central AI Assistant chatbot feature of Exldigital. Before diving into the details, let’s catch a glimpse of what our AI chatbot training system is built upon & what's there in general –
Manage the AI chatbot functionalities through the Enable AI Assistant feature, AI-Powered Intent Detection, managing business hours for the chatbot’s responses, and enabling contextual memory. In the Bot Manager section, under the AI Assistant section, you can select your preferred AI campaign, and so on.
You can select & control the previously trained AI Assistant for Chatbot with FAQ, URL & File from this section.
The centralized control system for the AI Assistant can be found under the Bot Manager section. This comprehensive central control system enables you to manage the chatbot’s activity, configure the intent detection system, and select the preferred AI campaign – ensuring that it matches perfectly with your business needs & customer support strategies.
In simple terms, this feature offers a highly customizable and intuitive approach to optimizing your chatbot's performance, maintaining professional interactions, and helping you retain strict control over your chatbot.
In the following sections, we’ll walk you through the steps to configure this powerful feature for your AI chatbot. Let’s get started:
At first, go to Bot Manager, under the Bot Reply section, you will find the ‘AI Assistant’ option. Here, you can enable the AI Assistant & select the pre-trained AI campaign for it.
As you can see, after enabling the AI assistant when I went to choose the AI trains campaign, all the previously trained chatbots appeared here.
Enabling Intent Detection enables your chatbot to identify user queries and match them to predefined intents. By setting up Intent Detection, you create individualized interactions based on your users' requirements.
Here is what Intent Detection allows you to do:
Campaign Names: Label and organize your intent detection campaigns for much easier management and monitoring.
Add Example Phrases: Define a set of example phrases for each intent to ensure recognition if users write their queries differently or with different wording.
Enable Bot Flow Trigger: Connect particular bot flows to each intent and the chatbot can offer users automated responses or predefined actions based on the recognized intention.
Enable Agent Assignment: Routing critical or complex queries to human agents for personalized support.
Enable AI Driven Responses: Create customized AI training campaigns for particular intents for your chatbot. Unlike standard bot or agent assignment options, it gives more control and flexibility to handle complicated user queries. It makes an AI training campaign for the defined intent when enabled. You then add resources including FAQ entries, URL links or customized datasets to the chatbot. This ensures the AI can respond contextually relevant and accurately to user inquiries.
For a comprehensive manual on how to begin utilizing Intent Detection and taking full advantage of its capabilities, check out our comprehensive blog – AI-Powered Intent Detection to Enhance Chatbot Efficiency
When someone enables this option, the AI will reply to all customer queries, regardless if it matches the bot flow keyword/template or not. In this case the chatbot should be highly optimized and trained with all necessary input & data.
If the user activates this option, the bot will only reply when the ‘No Match Reply’ is triggered. That means, when there is no match to the previous predefined bot flow, the AI reply will be activated & reply according to the training data.
AI as a Fallback Only
If the user activates this option, the bot will only reply when the ‘No Match Reply’ is triggered. That means, when there is no match to the previous predefined bot flow, the AI reply will be activated & reply according to the training data.
Enable Contextual Memory
Switching on this feature will allow the chatbot to retain and reference previous conversational contexts for future interactions. Additionally, you can configure how many messages the chatbot will remember.
For example:
“For previous (Number) conversations with the subscriber” means that the chatbot will recall the context from the specified number of past interactions.
Enabling or disabling ‘Don’t assign agent in business off hours’ will determine whether Exldigital assigns a live agent outside of your business hours.
When enabled, the chatbot will handle all interactions during off hours without assigning to a live agent.
When disabled, the system may still attempt to assign an agent, even during off hours.
If you have a business that requires agents to be assigned to certain intents, you can use the following feature for your intent detection:
Not Assign Agent During Non Business Hours
The result is that your chatbot will accept user queries outside of business hours. If the user query matches an intent that requires an agent (more nuanced situations or tailored help), the chatbot will not route the query to a human agent after hours.
Rather, the chatbot will do one of these things:
Provide an automated response informing the user the team is not available right now.
Recommend alternate solutions, like accessing an FAQ, leaving a message, or even booking a follow-up during regular business hours.
Try to resolve the query without human intervention using AI Driven Responses (if enabled).
This offers uninterrupted user support while respecting agent availability.
Time for Business Hours can be set up from Exldigital's 'Bot Manager' → 'Configuration' → 'Business Hour Settings'.
Here you set the working hours to make sure that agent assignments are made only within the specified business hours - optimizing user experience and agent workload management.
Restricted Topics
AI Training for Exldigital's Chatbot
Exldigital's AI Assistant can be trained to perform more intelligent, effective customer interactions. Allowing AI training means your chatbot can recognize and react to queries better. Train your chatbot with customized data, FAQs, and URLs to offer contextual and precise answers.
This makes your chatbot more intelligent and much more customized to your business requirements and preferences. To learn how to train your chatbot step-by-step, check out our comprehensive blog here – Train AI Assistant for Chatbot With FAQ, URL & File.
Conclusion
Exldigital's AI Assistant enables businesses to personalize customer interactions with AI-driven capabilities like intent detection, contextual memory, and flexible agent assignments. Allowing these tools enables businesses to create a responsive yet smart chatbot which responds to user queries with customizable replies. Additionally, you can set business hours and agent availability to obtain an optimum AI Assistant for customer experience & team efficiency.
Need complete automation or selective AI responses? With Exldigital's AI Assistant, you configure your chatbot. Take the next step of customer support with Exldigital's intelligent AI capabilities & transform your business interactions.