Twig AI

What is Twig AI?

Twig AI revolutionizes the customer experience (CX) landscape by utilizing cutting-edge AI technology tailored for CX teams. It is designed to accelerate customer service response times and enhance overall customer satisfaction through features like CX Playbooks, sophisticated AI personas for different CX roles, and the ability to analyze responses from various sources like help documents and private data sources. Twig AI's AI co-pilot allows for customization, enabling teams to personalize communication styles and improve efficiency in customer interactions. The platform also offers insights to help optimize team performance and AI refinement.

Who created Twig AI?

Twig AI was founded by Chandan Maruthi, the Co-founder and CEO, who brings over 10 years of experience in enterprise data platforms and AI. The company also has Co-founder and COO Harish Maiya with a decade of experience in B2B user engagement. The team is made up of skilled professionals from various fields like data science, engineering, and business, all dedicated to developing AI solutions to enhance people's lives and improve businesses. Twig AI's innovative approach focuses on revolutionizing customer experience through cutting-edge AI technology tailored for CX teams, offering unique benefits like faster response times and personalized AI personas for different CX roles.

What is Twig AI used for?

• Improving customer service response times
• Enhancing overall customer satisfaction
• Accelerating customer service response times
• Analyzing and formulating responses from various sources
• Providing dependable answers with citations from trustworthy sources
• Customizing communication styles for tailored customer interactions
• Efficiently gathering data from third-party sources
• Facilitating improvement of customer response times
• Providing robust customer support
• Capturing accuracy rates and guiding AI model refinement
• Analyzing and formulating responses from help documents and private data sources
• Introducing unmatched customization abilities for personalized communication styles
• Improving efficiency with reduced customer response time
• Saving substantial support costs
• Reading, analyzing, and writing responses to customer queries
• Mapping AI personas to multiple CX roles
• Efficiently gathering data from third-party sources to enhance answer quality
• Providing CX Playbooks
• Utilizing an array of CX Tools
• Introducing AI personas for different CX roles
• Customizing communication styles for tailored interactions
• Improving efficiency in CX teams
• Reducing customer response time
• Saving support costs
• Offering an array of CX tools
• Delivering sophisticated AI personas for different CX roles
• Introducing unmatched customization abilities
• Generating substantial savings in support costs
• Facilitating personalized communication styles
• Analyzing and formulating responses from help documents, private data sources, and previous support interactions
• Providing unmatched customization abilities for tailored customer interactions
• Achieving improvements in efficiency for CX teams
• Guiding the selection of data sources and refinement of the AI model
• Working with private data sources for up-to-date information in customer interactions
• Capturing accuracy rates and team usage patterns for AI refinement
• Mapping AI Personas to multiple CX roles for expertise in different subjects
• Enhance overall customer satisfaction
• Accelerate customer service response times
• Provide CX Playbooks and CX Tools
• Offer sophisticated AI personas for different CX roles
• Analyze and formulate responses from various sources
• Allow for customization and tailoring of communication styles
• Improve efficiency in CX teams
• Reduce customer response time
• Save on support costs
• Deliver dependable answers with citations from trustworthy sources
• Analyzing and formulating responses from multiple sources
• Introducing customization abilities for tailored interactions
• Capturing accuracy rates and team performance
• Refining AI models
• Increasing credibility through trustworthy answers

Who is Twig AI for?

• Customer Experience (CX) teams
• Customer Experience Teams
• CX Roles such as Support, Success, Operations, and Onboarding
• CX Roles
• Support Teams
• Success Teams
• Operations teams
• Onboarding Teams
• Customer support teams
• CX Roles Professionals
• Customer support
• B2B User Engagement
• Data Science
• Engineering
• Business professionals
• Tech Companies

How to use Twig AI?

To use Twig AI effectively, follow these steps:

1. Leverage Top Features: Benefit from features like 2X faster first responses, unparalleled benefits, factual answers, AI personas mapping to multiple CX roles, and ecosystem data beyond documents.

2. FAQs and Information: Understand how Twig AI improves first response times, suits customer experience teams, works with private data sources, provides trustworthy answers, and offers insights for team performance and AI refinement.

3. Control and Personalization: Control AI responses by reviewing and adding tribal knowledge. Utilize AI personas tailored to different CX roles, and personalize AI to match your preferred style and tone.

4. Insights and Refinement: Gain insights into AI accuracy rates and team usage, guiding data source selection and AI model refinement for better performance.

5. Team Background: Learn about the dedicated team behind Twig AI, including the experienced co-founders and talented professionals committed to using AI to enhance customer experiences and make a positive impact on the world.