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What is Twig?

Twig conducts semantic analysis on your documentation, support tickets, and knowledge bases, enabling it to tackle complex customer questions effectively and achieve a 30% reduction in costs. Utilizing AI models that are grounded in publicly available data, it boosts productivity and reduces inconsistencies in the quality of support provided. As an AI layer seamlessly integrated with existing customer support systems, Twig enhances the capability of support agents, enabling them to deliver responses that are both quicker and more efficient. By adopting advanced AI technology, it improves the performance of each support representative significantly. The AI diligently examines all pertinent resources to recommend suitable replies, while providing citations that enhance accuracy and build trust among users. Furthermore, the system is designed to continuously learn from agent interactions, which is crucial for sustaining high levels of productivity and ensuring customer satisfaction. By setting higher minimum standards for response quality, Twig helps agents recognize potential risks in their communications, which is vital for the success of customer experience strategies. This holistic approach not only simplifies operations but also empowers teams to achieve excellence in their respective roles. Ultimately, Twig’s integration leads to a more cohesive and efficient support service, fostering a positive environment for both agents and customers alike.

What is Percept.AI?

We present an automated support solution that ensures remarkable experiences and exceptional service on a large scale. This cutting-edge system is capable of deflecting as much as 60% of incoming customer inquiries prior to ticket creation, delivering immediate responses while significantly lowering costs. By utilizing your Percept.AI agent, complex tickets are seamlessly routed to your human team, accompanied by thorough conversation summaries that empower agents to tackle tier two and three issues with 5-10 times greater efficiency. You will also receive in-depth reports on customer intents through context-aware analytics, which help you anticipate and resolve potential customer issues before they escalate. Featuring advanced natural language understanding with an accuracy rate surpassing 95%, this technology is powered by our proprietary innovations crafted by AI experts from industry giants such as Google, Facebook, Amazon, and Y-Combinator. Beyond just enhancing support, this solution significantly boosts customer satisfaction and loyalty, making it an invaluable asset for any organization. With its ability to adapt and evolve based on customer interactions, this system represents the future of customer service excellence.

Media

Media

Integrations Supported

AI Agents Directory
Dash
Docusaurus
Docz
Dropbox Paper
Eclipse PHP
FuelPHP
GitBook
GitHub
Google Chrome
Salesforce
ServiceNow
Zendesk

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Twig

Company Location

United States

Company Website

www.twig.so/

Company Facts

Organization Name

Percept.AI

Date Founded

2016

Company Location

United States

Company Website

percept.ai

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Customer Service

Not specified

AI Knowledge Base

Not specified

Customer Service

Not specified

Knowledge Management

Not specified

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agents

Not specified

AI Assistants

Not specified

AI Customer Service

Not specified

Artificial Intelligence

Chatbot
Machine Learning
Natural Language Processing
Process/Workflow Automation
Rules-Based Automation

Customer Service

Not specified

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