Is Solve the right fit for your customers?

Your team receives repetitive one-touch type questions and systematically applies the same response over and over again. If your team could benefit from having these types of tickets removed from their queues, we can help!

How does Solve for Email work?

Forethought will identify common and repetitive customer questions that are associated with macros or knowledge articles from your team. We'll use our artificial intelligence to learn from your past tickets and automate this process. Then, when a customer ticket comes in, Forethought will read, understand, and respond to the ticket with the relevant macro. 

How does Solve Widget work?

The Solve Widget is an interactive customizable widget that lives on your organizations webpage. The widget directs customers to their best solution and can surface the best fitting article from your knowledge base to answer their issues or to create a ticket for your team to answer. As the widgets owner you will have access to editing this widget through the Forethought dashboard to continue to improve the experience and the amount of questions the widget is deflecting.

Unlike most Customer Support AI’s, we use Natural Language Understanding (NLU), a cutting edge AI technology, to train on your specific data. Our use of NLU means we are able to launch Solve in as little as 3 business days with above 90% accuracy. That of course is not the case for everyone. For more information read some of our case studies here.

What kind of workflows can I use for Solve Widget?

"Intents” are essentially classifications for specific problem types. As a note Solve tends to work best for repetitive support cases that have rigid questions and answers. Read more about creating intents in our case study here.

Some examples:

• Password Reset / Login Assistance
• Pricing Inquiries / Quotes
• Delivery / Shipping

How many phrases are needed to train a Solve Widget Workflow?

An intent refers to the goal your customer has in mind when typing in a question or comment to the widget. Intents are how Forethought’s AI interprets what your customers are asking and determines the appropriate response to return which deflects support tickets from being created and reduces your agents workload. Solve Widget works best for frequently asked questions from customers that can be resolved with text responses that provide additional information or with a knowledge article.

You will need a minimum of 5 training phrases for each workflow! However we do recommend adding more than just 5 to train the model on a wider variety of different ways a customer may ask a question and to differentiate intents between each other.  

How much data do I need to have?

Our customers see immediate value when our Solve products have at least 1,000+ tickets per week. This is because there must be a sufficient historical usage of the macros you would like Solve Email to use in a response to your customers. Alternatively if you do not use macros and prefer to send knowledge articles to your customers, having articles that address frequently asked questions is needed in order to allow Solve Email to send the appropriate article in its response to your customers. This allows us to ensure there is sufficient data to train and create a custom AI model that will accurately send the expected macro or knowledge article response back to your customers.

For Solve Widget you don't need any data at all! However, utilizing a knowledge base to deflect questions  or utilize our other integrations is the best way to get value from our product. 

What type of actions can it automate?

Within Solve Widget, you can perform actions to pull, update, create or delete information by using any valid and public API endpoints. You can customize these actions to automate and deflect inquiries from your agents. For more details read about our widget action build feature here.

What platforms do you support?

What languages does Solve Widget support?

We support over 100 languages, so chances are we support yours too! Check out more information here.