Conversational AI is all the rage, for good reasons. When implemented correctly, conversational AI platforms can help your create AI assistants that can converse fluently with your employees or customers and help them in their tasks.
But, how to build a conversational AI chatbot?
It’s simple. Let’s deep dive into how you can build a conversational AI chatbot today with Alltius platform for free.
What is Conversational AI?
Let’s start with the basics.
Conversational AI, often referred to as chatbots or virtual assistants, is a technology that can converse with humans in a natural, conversational manner.
Conversational AI combines advanced natural language processing (NLP), machine learning algorithms, and intelligent dialogue management systems to create seamless and intuitive interactions between humans and machines. Conversational AI is that intelligent companion, capable of understanding context, recognizing intent, and providing personalized responses tailored to your unique needs.
How to build a conversational AI assistant?
Step 1: Define the problem your conversational AI assistant will solve
Before even building your own AI, you need to start with a clear understanding of the problem statement. What do you want your conversational AI assistant to do?
You can either start with your own motivation or use some of the typical conversational AI assistant use cases from business or personal perspectives.
Different AI use cases:
- Financial Services: AI significantly contributes to fraud detection in financial transactions. By analyzing customer data, it identifies patterns or anomalies that may indicate fraud, helping prevent identity theft and other financial crimes
- Human Resources: AI-driven performance reviews in HR departments track employee performance more effectively, aiding in identifying high-performing individuals for rewards
- Customer Service Chatbots: AI enhances the effectiveness of customer service chatbots by enabling them to learn from interactions and become more accurate in responding to customer queries
- Knowledge Management: AI can make sense of complex institutional knowledge in organizations, breaking down information silos
- Content Writing:
- Data Analysis:
In this blog, we’ll create a website AI assistant for customer self service that draws information from the FAQ section and answers customer questions accurately.
Step 2: Identifying knowledge sources, intent & channels
The next step is to identify the data sources to train the AI. What are the different internal or external sources of data you’ll use to train your conversational AI assistant on?
Your data can be documents, videos, images, PDFs, webpages or more. Agent intent or agent actions would be the actions that you’d want your agents to take. Channels could be websites, whatsapp, zendesk, intercom, telegram, discord, teams or more.
The list of data sources, intent & channels will be integral for your decision of AI platform. In our case, our data sources are website FAQs, our intent is to understand the query & answer the question & our channel is a website.
Step 3: Choosing Tools and Technologies
Now it’s time to choose an AI platform to build your conversational AI assistant. It is crucial to get AI platform right as it will determine how easy it is to set up, train and use your conversational AI assistant.
There are a variety of AI platforms out there. Make a decision based on the following:
- Data Sources
- Agent capabilities
- Channels
- Setup time
- Training time
- Hallucinations or Accuracy of conversational AI assistants
- Costs
One of the AI solutions is Alltius. Alltius is a GenAI platform which effortlessly powers enterprise applications, websites and contact centers with skillful, secure and accurate AI assistants that can double sales and halve support costs.
With Alltius, you can create your own AI assistants in minutes. It can easily connect to multiple data sources, mimic humans for insightful interactions and can be implemented on multiple platforms within minutes.
You can create an AI chatbot based on your data on Alltiuswithin 15 minutes for free. Alltius is best for creating AI assistants for sales, customer service and customers.
Step 4: Adding Data Sources & Channels
Now, let’s get into creating the actual conversational AI assistant. Create a free account on Alltius and log into the interface.
Go to coach assistants and click on + Create new.
A dialog box will open up. Name your new assistant and select create.
You’ll be redirected to your AI assistant page which showcases sources and other settings. Select + Add new source.
Add your data sources. In our case here, we will add web pages but you can add documents, google drive links, videos, PDFs and more.
Once the coaching is complete, your data is uploaded to your conversational AI assistant. Now, it’s time to test your conversational AI assistants.
Step 5: Testing your conversational AI assistants
Head over to the playground from your left column and select your assistant. Try talking to your AI. See if it answers your questions correctly. We suggest asking multiple questions to ensure it’s working properly.
Use the following to test your conversational AI assistants:
- Evaluation Metrics: Use metrics to assess model effectiveness.
- Cross-Validation Techniques: Test the model in varied scenarios.
- Error Analysis: Analyze and correct errors for model refinement.
Once you’re sure of the conversational AI assistants, we move over to deploying your conversational AI assistant.
Step 6: Deploy & Monitor your conversational AI assistant
Deploying your conversational AI assistant on Alltius is a simple process. Go to Channels, select your AI assistant and select the channel of your choice. A step by step instruction will give you an idea on how to deploy it on your channel.
Voila, your conversational AI assistant is done! After it’s deployed, you need to continuously monitor your conversational AI assistant to make sure it’s working properly. In Alltius, you can see your agent performance using dashboards which tell you details about engagement, quality, query insights and option to download all the conversations.
Where Can You Use Conversational AI in Businesses?
Now that we’ve seen how to build a conversational AI assistant, let’s see where you can use it. Here are some areas where businesses are using conversational AI assistants:
Customer Service and Support
One of the most prominent use cases for conversational AI is in customer service and support. Intelligent AI assistants like Alltius, can help businesses deflect tickets and handle a wide range of customer inquiries, from simple questions about products or services to more complex issues requiring troubleshooting or follow-up actions.
Implementing AI assistants can improve customer experience & reduce wait times as they’re available 24/7 and can solve queries within seconds.
Sales
Conversational AI assistants can help sales agents to sell more with easy access to information. You can train conversational AI assistants on your company documents and connect them with your CRM, this allows the assistant to capture all relevant information. Now, when sales agents are faced with technical questions, product objections or pricing negotiations, they can just converse with the AI assistant to find information.
Using conversational AI assistants in sales can improve sales by 40% as seen from our first hand experience with our clients.
Knowledge management
Knowledge management use cases are relevant to all the industries. For companies with on-field technicians or employees, conversational AI chatbots can act as a true source of knowledge. The AI assistant can provide employees with instant access to the information they need, whenever and wherever they need it.
Self-Serve AI
Providing an option to customers for solving their own queries could help them succeed in their tasks and help you scale exponentially. Self serve support and product AI assistants are on rise and help customers be independent of your customer support teams to solve simple queries. Conversational AI assistants can converse with customers, understand their queries and provide them with solutions within seconds as opposed to long wait times on call lines.
Apart from these, there are multiple use cases in industries like healthcare, insurance, banking, finance, education, manufacturing, consulting and more.
Conclusion
In the ever-evolving digital landscape, conversational AI is emerging as a game-changer for modern businesses. By embracing this cutting-edge technology, companies can provide seamless, personalized, and efficient experiences across various touchpoints, from customer service and sales to HR and healthcare.
As the demand for conversational AI continues to surge, it’s crucial for businesses to stay ahead of the curve and leverage this transformative technology. By carefully selecting the right conversational AI platform and implementing it strategically, organizations can unlock new opportunities for growth, enhance customer and employee satisfaction, and gain a competitive edge in their respective industries.
Remember, the key to success with conversational AI lies in understanding your specific needs, prioritizing user experience, and continuously optimizing and refining your solution. With the right approach and platform, conversational AI can become a powerful ally in your quest to deliver exceptional experiences, drive operational efficiencies, and cultivate long-lasting customer loyalty.
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Originally published at https://www.alltius.ai.
