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Automate Tier 1 support with AI Agents

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Looks up user data, takes actions & answers questions like a trained agent

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Trusted by leading Customer Experience Teams

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Automates tasks done by a
Tier 1 Support Agent

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Take actions by chating with AI

Twig converts your requests into API calls that can take actions, like fetching user specific information or starting a work

Tech Support

Instant responses for user questions

Users don't have to log a ticket and wait for an answer, let Twig gives a anwer instantly. While your agents can jump in and add additional information if they need.

Factual answers you can rely on

Twig provides answers that are always cited with trustworthy sources. You can independently verify these sources and cite them to your customers.

Personalize AI in your own style

Set up your own preferences, such as answering style and tone. Templates allow you to personalize at scale.

Support Agents

Ecosystem Data goes beyond your internal docs

Tech products frequently rely on external apis and platforms. Twig simplifies the process of pulling data from 3rd party sources. Twig's AI generates new synthetic data that improves answer quality.

Knowledge Base built in

Create templated responses and macros to provide contextual responses with the built-in knowledge base module.

Drive agent productivity with an eagles view

Detailed analytics helps admin users analyze usage across CX teams, driving agent productivity.

Detailed analytics

Fast deployments with zero IT Support

Twig AI is fully managed from the UI, with the Twig team helping you get started and achive high accuracy rates. Most deployments require no IT support.

Insights to monitor customer experience

Twig captures accuracy rates and how your team uses the AI. These insights guide the selection of data sources and refinement to the AI model.

Twig V1.2: Oak

Released: Oct 2024

Highlights
- AI Agents can now be embedded in your SaaS app.
- Session memory makes follow-up responses quicker.
- Outlook native plugin, brings Twig AI into your inbox.

Explore Live Models

Built from ground up with for customer experience teams unique needs.

"I was told what we wanted was infeasible by other vendors. Twig has saved us 100s of hours in operational time and improved reliability doing so."

Jennifer Schaen
SVP, Customer Experience

"Twig AI helped us get a first response rate by 35% with no extra effort by the support agent"

Zach Johnson
Head of Success CX

Trusted by
1200 CX Professionals

_{Customer experinces leaders and Agents are depolying AI in the customer experience flow everyday with Twig}

AI in Customer Support

Relevant well researched topics about AI in CX

Customer Service Trend Report

What is a Chatbot

Chatbots in customer support use AI-powered technologies like NLP and machine learning to automate responses, enhance personalization, and provide 24/7 assistance. They improve efficiency by handling FAQs, troubleshooting issues, and integrating across multiple platforms. As AI evolves, chatbots will offer deeper contextual understanding, emotional intelligence, and improved security for customer interactions.

Customer Service Trend Report

Chatbots in the Last Five Years?

Chatbots have evolved from simple rule-based systems to AI-powered conversational agents with advanced natural language understanding and personalization. They now integrate seamlessly with business applications, offer multimodal interactions, and enhance customer service efficiency. Future advancements will focus on emotional intelligence, stronger security, and more human-like conversations.

Customer Service Trend Report

Customer Service Automation, what is it

Customer service automation uses AI, chatbots, and self-service tools to streamline support, reduce costs, and enhance customer experience. It enables faster response times, 24/7 availability, and improved accuracy while handling large volumes of inquiries efficiently. As AI evolves, businesses will see deeper automation, hyper-personalization, and omnichannel support integration.

Voice of customer support

Chat Bots vs Conversational AI whats the difference

Chatbots use predefined scripts to handle simple, rule-based interactions, while conversational AI leverages NLP and machine learning to understand context and provide dynamic, human-like responses. Chatbots are best for FAQs and transactional tasks, whereas conversational AI offers personalized, scalable customer support. Businesses should choose based on their needs, with conversational AI being the superior choice for complex interactions.

Voice of customer support

NLU / NLP Whats with the jargons in Customer Support AI

NLP and NLU are key AI technologies that enhance customer support by enabling chatbots, sentiment analysis, and automated ticket routing. NLP processes human language, while NLU interprets intent and context, improving AI-driven interactions. These advancements help businesses provide faster, more personalized, and efficient customer service.

Voice of customer support

Triaging Customer Support Tickets with AI

AI-powered ticket triage automates categorization, prioritization, and routing of support tickets, reducing response times and improving efficiency. By leveraging machine learning and sentiment analysis, AI ensures tickets reach the right agent while handling common queries automatically. Businesses that implement AI-driven triage benefit from faster resolutions, lower costs, and enhanced customer satisfaction.