AI Ticket Tagger by Labelf vs Maestro QA Auto Quality Assurance

Our official Automated QA integration for Zendesk. Maestro QA makes Automated QA / QM software powered by AI for modern support teams. Our integration with Zendesk lets teams automatically analyze agent tickets for insights leveraging AI classifiers to reflect their business needs, identify areas for agent coaching and report on quality of the agent support through a custom KPI dash with comprehensive conversation insights and analytics. Etsy, Mailchimp, Peloton, and more use Maestro QA for Automated QA (quality assurance), QM (quality management) purpose to improve agent performance and enable amazing customer experiences through quality support experience - and get results. Our Automated QA (Quality Assurance) App enables you to: Automate customized agent QA/QM scorecards and metrics Grade agent tickets with a side-by-side QA scorecard view Turn your agent QA score into a trusted KPI to reveal agent performance and AI powered conversation insights Identify training gaps for agent coaching opportunities through metrics generated by AI Drive agent coaching, learning, development, and retention Improve key metrics through Automated QA/QM conversation insights and agent coaching sessions Agent support teams and quality assurance (QA) / quality management (QM) leaders love to leverage Maestro QA to understand agent performance, find coaching opportunities and enable exceptional customer experiences. By making my QA / QM process more efficient, I was identifying more valuable areas for opportunity & able to lead larger, more targeted projects. During the first 6-8 months of using Maestro QA our average QA / QM score increased from around 70% to 90%. Over the second half of the year, CSAT increased about 11%. We would not have seen those QA / QM score increases if I was still spending a day a week pulling reports and managing my team's daily tasks. Sarah, CX Quality Manager Maestro QA allows for seamless grading and grades sitting side-by-side in addition to allowing the agent to see the scorecard right within the review. Agents feel more empowered to resolve on their own. Eric Komo, Leadpages, Technical Trainer Want to know more about how quality teams use our quality assurance (QA) / quality management (QM) tool to empower their agents to provide higher quality services by getting the quality of their work graded and improved via agent coaching? View our customer case studies. Have questions for our team? Email us directly at [email protected] or visit www.maestroqa.com to chat with us to explore your quality assurance (QA) / quality management (QM) needs by evaluating quality of the agent support service, filling those gaps through agent coaching sessions. Learn more Request a demo of the full MaestroQA experience Privacy policy — learn how we handle and protect your data

AI Ticket Tagger by Labelf turns your Zendesk into a self-organizing, self-explaining support operation. Train AI models on your own historic tickets in minutes and let them set ticket fields and tags automatically - then use those consistent fields to power real-time dashboards, AI reply suggestions grounded in your own Help Center, FAQ gap detection and plain-language data investigations. Everything is managed from one place: the Labelf web app. Real-time dashboards for contact reasons, churn and sales When AI keeps your ticket fields consistent, your dashboards finally tell the truth. Build real-time dashboards in the Labelf web app on top of any combination of ticket fields - see your top contact reasons as they shift, spot churn signals while there is still time to act, and surface sales opportunities hiding in your support queue. Labelf also monitors your tickets with a combination of NLP models to discover emerging issues and show them as new dynamic categories, so rampant new problems are visible before they overwhelm your support. AI reply suggestions grounded in your own Help Center Get a suggested reply drafted directly on incoming tickets, posted as an internal note your agents can copy, tweak and send. Suggestions are grounded in your own FAQ and knowledge base plus similar previously solved tickets - not generic AI guesses - so answers sound like your team and match your policies. You can also set a custom role prompt to control the tone and role the AI takes. Find the gaps in your FAQ before your customers do Labelf continuously analyzes what customers actually ask and compares it against what your Help Center actually answers. The result is a prioritized list of missing FAQ articles - the questions that keep generating tickets because no article answers them. Write the handful of articles that matter, deflect the tickets, and watch the same dashboard confirm the drop. Investigate anything with the Labelf Agent Ask questions about your support data in plain language: "Why did returns spike in July?", "Which contact reasons drive churn for our enterprise customers?", "What changed after the last release?". The Labelf Agent digs through your Zendesk data, runs the analysis, builds the charts and comes back with an answer you can act on - a data analyst on demand for your support organization. Train a ticket categorizing AI on an existing ticket field Say your support team categorizes tickets into 'phone', 'internet', 'complaints', 'invoices' and 'order' using a ticket field. Train an AI on the historic data for that field in minutes, then activate it so categorization and routing into views happens automatically - for all future tickets, and for your backlog if you want better insights on historic data too. Train a ticket tagging AI on your historic ticket tags If your agents have historically tagged tickets with labels like 'urgent', 'angry' or 'shipping accident', train an AI on those historic tags and have incoming tickets tagged the same way - consistently, instantly, on every ticket. Works for chat as well Automatically tag your chats when they are closed or solved, to analyze your chat flows and save your agents time. Works in any language The AI models you train on Labelf's platform work in any language, even if your historic data is in just one. Expand into new markets without changing a thing. About Labelf AI Labelf AI is a Swedish company based in Stockholm. We create AI heroes by removing the barriers for AI implementation. Privacy Notice No data is accessed by Labelf after installing the app unless the user first actively: 1. Adds a dataset in app.labelf.ai 2. Activates a model or reply suggestion trigger from Labelf's trigger management To provide ticket tagging and reply suggestions, this application accesses and processes ticket data, including: - Ticket subject and description - Conversation history (comments) - Ticket metadata (tags, status, custom fields) This data is used to: 1. Train and execute AI models for automatic ticket categorization. 2. Generate AI reply suggestions using large language models and your own Help Center content (only if enabled). Data is stored and processed securely by Labelf AI. For more information, please see our Terms of Service at https://app.labelf.ai/tos .