Overview

What is Watson Assistant’s visual builder?

Watson Assistant’s chatbot builder simplifies chatbot creation with reusable components. Our pre-built templates and integrations allow you to create and customize a user action, such as pay your bill, in a few simple steps, and the drag-and-drop interface allows users to re-prioritize steps within an action with a click of a mouse.

Woman explaining how to build AI-powered chatbot

Build your first AI-powered chatbot using IBM Watson Assistant Actions (07:19)

Benefits

Build your AI chatbot in minutes

Launch a chatbot with no coding skills

Building chatbots has never been easier. Train with only a few questions or use our chatbot templates today.

Scale your support teams for better experiences

Reusable components allow businesses to create consistent customer experiences across the globe in a fraction of the time.

Enable rapid iteration with easy-to-use interfaces

Our low-code and no-code capabilities promote agile workflows, encouraging dialogue experimentation for the ideal support experience.

Deliver the right response with confidence

Our disambiguation feature prompts for clarification if your user’s request isn’t clear, ensuring that your chatbot communicates with accuracy.

Go beyond intent-based dialogue

Our seamless integrations and extensions allow users to complete different tasks within our interface easily.

Reduce errors with preview mode

You can preview the conversation as your users will experience it — with advanced debugging capabilities to fix problems quickly.

Features

Enhance your assistant today

Get started with one-click integrations

Search existing content

Abstract symbol of magnifying glass

Find up-to-date answers in any existing content, from knowledge bases to websites, with Watson Discovery.

Cross-channel automation

Abstract symbol of telephone

Easily connect your chatbot platform to existing live agent tools to route customers to the right people in real time.

Handoff to live agents

Abstract symbol of customer service representative

Deploy anywhere your customers communicate with your business, including web, app, phone or messaging channels.

Use cases

Customer service

Customer service representative answering a customer question

Customer service

Enhance the customer experience by connecting potential clients to customer support teams quickly

Banking

A customer asking a banking representative to help set up autopay

Banking

Streamline the payments user experience by allowing account holders to pay all or parts of their bill

Healthcare

A customer asking a healthcare representative to confirm an appointment

Healthcare

Support medical providers by offering easier access to contact information and appointment bookings

Insurance

A customer asking an insurance representative to confirm a deductible

Insurance

Educate policyholders with better pathways to policy and claims information to ensure timely reimbursement

Testimonial

Frequently asked questions

Does Watson Assistant use machine learning or natural language processing?

According to G2 Crowd, IDC, and Gartner, IBM’s Watson Assistant is one of the best chatbot builders in the space with leading natural language processing (NLP) and integration capabilities.

Our enhanced intent detection model is faster and more accurate than our previous ones, combining traditional machine learning, transfer learning and deep learning techniques in a cohesive model that is highly responsive at run time. Based on a study (link resides outside IBM, PDF, 240 KB), this model is also more accurate than IBM’s main competitors, outperforming Google Dialogflow by 5.6 percentage points and Microsoft LUIS by 14.7 percentage points.

Not only does our model surpass the competition, but IBM’s Watson Assistant makes it incredibly easy to get started with a host of resources, such as templates, one-click integrations, guided tutorials, SMEs and more. IBM Watson Assistant adapts to the needs of the customer.

Does Watson Assistant have any available APIs?

Yes, Watson Assistant has available webhooks and APIs to enable you to export chat logs for analysis, allowing your teams to optimize your chatbot for customer outcomes. Connect in one click with systems like Salesforce, Zendesk, Intercom, and more. Alternatively, you can create your own extension with our Open API specifications.

What is the best way to get started with a visual bot builder interface?

Check out our documentation to find a tutorial on how to create your first chatbot using Watson Assistant’s visual chatbot builder.

Can I deploy my chatbot to multiple channels, such as phone, web and social?

Yes, you can deliver an omnichannel experience to your customers, deploying to apps, such as Facebook Messenger, Intercom, Slack, SMS with Twilio, WhatsApp, Hubspot, Wordpress, and more. Our seamless integrations can route customers to your telephony and interactive voice response (IVR) systems when they need them.

Are there chatbot templates to use?

Yes, you can use Watson Assistant action templates to build your first chatbot today. They are pre-built, customizable chatbot templates, which create chatbots quickly and easily. Action templates automate chatbot creation by identifying common user cases, such as support ticket requests or answers to frequently asked questions (FAQs). See the prebuilt templates documentation to get started.

What are common chatbot use cases?

Customer care is the most common chatbot use case. Chatbots are helpful to both product- and service-based companies looking to provide a superior user experience by to answering customer questions, guiding customers through simple troubleshooting, and connecting customers to the resources they need.

They are also often used by sales teams looking for a tool to support lead generation. Chatbots can quickly validate potential leads based on the questions they ask, then pass them on to sales representatives to close the deal.

Chatbots can even be used in e-commerce by acting as a digital sales clerk, akin to what customers would experience at a small business shop. E-commerce chatbots can provide a personalized shopping experience that converts passive website visitors into engaged prospects.