With the power of OpenAI’s GPT-3.5 Turbo, our chatbots will deliver smarter and more authentic conversations, fully automated. Try it out now!
conversations automated
reduction in call volume
reduction in wait times
Explore the future of chatbots with our sample Tars chatbot powered by OpenAI's GPT-3.5 Turbo.
Ask these to try out the feature
Permit for setting up my business in the city
How do I pay my overdue tax?
I want to get information about business license
The smartest chatbot on the block just became a powerhouse! With two easy ways to equip our chatbots with training data, maximize customer satisfaction and minimize frustration. All in one place!
Upload Training Data
If you have training data in a .csv file with user intents and utterances, upload it to see them in the gambit modal. Review and add more intents if needed. Once done, click Train to enable the chatbot to use the data.
Customize Intent and Utterances
Enhance your chatbot's performance by creating custom intents. Define user utterances for the bot to recognize and click "Train" when satisfied to train the model and now your chatbot is ready to make waves!
Our chatbot is a pro at solving user queries, but sometimes it needs human backup. Here's how we handle unforeseen situations to ensure smooth conversations.
Intent Review
To avoid any instance of unanswered queries, Tars stores missed intents in a specific location for easy review by the customer.
Knowledge Bridge
Customers can then either add intents and utterances or upload additional training data to enhance the model's knowledge base and ensure comprehensive coverage.
Book a demo today and upgrade your digital customer journey with Tars!
Kick-off Call
Flow Creation
Testing and Feedback
Go Live !
Post Live
Kick-off Call
Introductory call with the POCs from the client side.
Scoping & Requirements
Introductory call with the POCs from the client side.
Work on flow creation
Get flow requirements from clients and assign a chatbot maker to work on the bot creation.
Api Integrations
After receiving API documentation, test out the APIs and then integrate them in the bot.
Training Call
Get on a training call with the clients to explain various sections of the product.
Testing the chatbot
Testing the final chatbot on client’s website and any other platform as required.
Feedback implementation
Implementing the feedback received during the testing and fixing any problems encountered, if any.
Chatbot goes live!
After vigorous testing the bot is now ready to go LIVE! You can now see the conversations coming in and view the data in our View and Export section. You can also analyze the data and evaluate the performance of the chatbot in the Analyze section.
Time to first value
By day 30 we want the clients to get the first of many values when using our product.
Biweekly catch ups
Connect every 2 weeks to check if the chatbot is functioning efficiently.
Monthly review calls
Connect once a month to review chatbot data, and identify the goal for the next month.
How the Missouri secretary of state automated 200,000 customer service conversations using a chatbot
How American Express Used Chatbots To Supercharge Customer Marketing Campaigns
How Indiana INBiz saved $500,000 annually with a chatbot
7+
years in the Enterprise Conversational AI space
700+
global brands that we’ve worked with
50m+
customer conversations automated
10+
countries with deployed Chatbots
