Revolutionize B2B customer support with AI-driven RAG automation — Quasa

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Twig (featured at Quasa.io/projects/twig) is a cutting-edge AI-powered customer support platform that will transform B2B service operations in 2026.

This RAG-based solution from Twig.so enables teams to build, deploy, and scale knowledge agents 10x faster to instantly and accurately resolve customer queries across email, chat, and in-app channels. This reduces response times by up to 60% and improves first contact resolution rates by more than 35%, while surpassing traditional tools like Zendesk and Intercom in AI-driven automation and depth of data integration.

At its core, Twig serves as an operational-grade RAG backend with a specialized AI agent that manages the entire support workflow, from data ingestion and semantic analysis to real-time intent detection, personalized response generation, and seamless escalation to human agents.

Key features include 30+ data connectors (for sources like Google Drive, Confluence, Salesforce, Slack, databases, and more), ingestion debugging to fix bad data, synthetic data engine to clean noisy input, memory manager for session continuity, PII screening for compliance, smart chunking for efficient processing, advanced RAG strategies with playbook builder (no-code agent creation for RFPs or responses), and user feedback for continuous learning. Contains loops, automatic evaluation. 7+ dimensions, REST API and MCP for custom integrations, in-app plugins, browser/email extensions (Gmail/Outlook), hybrid inbox for AI and human collaboration, and analytics dashboards to track usage, accuracy, and CX metrics.

Supports multilingual operations (semantic understanding across languages) and ensures fact-based answers, cited to maintain trust.

Ideal for SaaS, fintech, e-commerce, and technology B2B teams, it autonomously handles routine inquiries, complex troubleshooting, status searches (such as payments and claims), and even proactive guidance. The main strengths are reliability and speed. Agents are trained on unique data for on-brand, empathetic interactions, reduce support costs by automating over 50% of tickets, and increase agent productivity through faster drafts and insights.

Evolving from RAG optimization in 2025, recent enhancements in 2026 add multimodal capabilities (such as processing images/audio in tickets), enhanced API action calls for real-time integration, faster synthetic data generation, and VR-based simulation training for agents, further expanding for enterprise-wide adoption.

Users praise its effectiveness: “Twig has saved us hundreds of hours of operational time and made the impossible possible. Our support is now so reliable!” (SVP Customer Experience, US), “We have easily increased our first response rate by 35%. AI Draft is a game changer” (Head of Success CX, EU), “Feedback loops make us work smarter every day, and we no longer have to dig through documentation.” (SaaS) Company Support Lead). This is especially powerful for B2B scaling without adding headcount, ensuring data security (GDPR, SOC 2 compliant), and facilitating hybrid workflows that empower agents rather than replace them.

disadvantages: Pricing is enterprise-oriented (custom quote after demo) and can be expensive for startups. Initial data setup requires clean input for optimal performance. In rare cases, human adjustments may be required. Onboarding is supported, but could be sped up with more interactive tutorials. Resources such as documentation and a self-service studio are extensive, but an expanded video guide would be helpful. Overall, for B2B companies seeking efficient AI-first support, Twig offers unparalleled speed, accuracy, and ROI through its robust RAG infrastructure.

A powerful tool for instant, intelligent customer experiences — earn 1 QUA rewards via Quasa too!

4.8/5 stars (great for speed, integration, and productivity gains, but a slight drop in price and setup nuances).

Get started: https://quasa.io/projects/twig



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