{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_zendesk-ai","slug":"zendesk-ai","name":"Zendesk AI","type":"agent","url":"https://zendesk.com/ai","page_url":"https://unfragile.ai/zendesk-ai","categories":["chatbots-assistants","code-editors"],"tags":["help-desk","triage","analytics","enterprise"],"pricing":{"model":"paid","free":false,"starting_price":"$55/agent/mo"},"status":"active","verified":false},"capabilities":[{"id":"tool_zendesk-ai__cap_0","uri":"capability://customer.support.automated.ticket.resolution.via.ai.agents","name":"automated-ticket-resolution-via-ai-agents","description":"AI agents autonomously resolve common customer support tickets without human intervention. The system handles routine inquiries, FAQs, password resets, and standard troubleshooting by understanding customer intent and providing appropriate solutions.","intents":["I want to reduce the number of tickets my human agents have to handle","I need to resolve simple customer issues instantly without waiting for an agent","I want to decrease our first-contact resolution time for common problems","I need to handle high ticket volume during peak times without hiring more staff"],"best_for":["mid-to-enterprise support teams","organizations with high volume of repetitive inquiries","teams already using Zendesk platform"],"limitations":["accuracy inconsistent on domain-specific or complex questions","requires extensive training data and fine-tuning for specialized domains","limited to intent-based automation compared to competitors","cannot handle nuanced or context-dependent customer issues"],"requires":["Zendesk account with AI add-on subscription","historical ticket data for training","defined intents and resolution workflows","$55+ per agent per month additional cost"],"input_types":["customer support tickets","natural language customer inquiries","email messages"],"output_types":["automated ticket resolution","suggested answers","ticket closure status"],"categories":["customer-support","automation","ai-agents"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_1","uri":"capability://customer.support.real.time.agent.response.suggestions","name":"real-time-agent-response-suggestions","description":"Copilot feature provides human agents with AI-generated suggested responses in real-time as they handle customer tickets. Suggestions are contextually relevant based on ticket content, customer history, and knowledge base.","intents":["I want my agents to respond to customers faster without sacrificing quality","I need to ensure consistent response quality across my support team","I want to reduce the time agents spend composing responses from scratch","I need to help newer agents provide better answers more quickly"],"best_for":["human support agents","teams with variable response quality","organizations wanting to accelerate agent productivity","teams with mixed experience levels"],"limitations":["suggestions may require editing for accuracy or tone","effectiveness depends on quality of knowledge base","agents must still review and approve all suggestions","may not capture brand voice or specific customer context perfectly"],"requires":["Zendesk AI add-on subscription","comprehensive knowledge base","agent training on using copilot effectively","integration with Zendesk agent workspace"],"input_types":["customer ticket content","customer history","knowledge base articles"],"output_types":["suggested response text","response recommendations","knowledge base references"],"categories":["customer-support","productivity","ai-copilot"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_10","uri":"capability://customer.support.proactive.customer.outreach.triggers","name":"proactive-customer-outreach-triggers","description":"Identifies situations where proactive outreach would improve customer experience, such as order delays, service issues, or account problems. Suggests or automatically initiates outreach to customers before they contact support.","intents":["I want to reach out to customers before they complain","I need to notify customers about issues affecting their accounts","I want to reduce support tickets by being proactive","I need to improve customer satisfaction through timely communication"],"best_for":["customer success teams","organizations focused on proactive support","companies with high-value customers","teams wanting to reduce reactive support volume"],"limitations":["requires integration with operational systems to detect issues","may generate false positives requiring manual review","timing of outreach is critical and may be difficult to optimize","requires customer contact preferences to be respected"],"requires":["Zendesk AI subscription","integration with operational systems","defined outreach triggers and rules","customer contact information and preferences"],"input_types":["operational data","customer account data","service status information","order and transaction data"],"output_types":["outreach recommendations","trigger alerts","suggested messages","outreach automation"],"categories":["customer-support","customer-success","proactive-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_2","uri":"capability://customer.support.intelligent.ticket.routing.and.triage","name":"intelligent-ticket-routing-and-triage","description":"Automatically analyzes incoming support tickets and routes them to the most appropriate team, agent, or queue based on content analysis, priority, and complexity. Reduces misdirected tickets and ensures specialized issues reach the right expertise.","intents":["I want to ensure tickets reach the right team without manual sorting","I need to reduce tickets being sent to the wrong department","I want to prioritize urgent issues so they're handled first","I need to match complex issues with agents who have relevant expertise"],"best_for":["large support organizations with multiple teams","companies with specialized support departments","teams handling diverse issue types","organizations wanting to minimize routing errors"],"limitations":["requires clear team definitions and expertise mapping","may struggle with ambiguous or multi-topic tickets","depends on consistent ticket tagging and categorization","cannot route to agents not in the system"],"requires":["Zendesk AI subscription","defined team structure and specializations","historical ticket routing data","configured routing rules and priorities"],"input_types":["incoming support tickets","ticket content and metadata","customer information"],"output_types":["routing decision","assigned team or queue","priority level","assigned agent"],"categories":["customer-support","workflow-automation","triage"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_3","uri":"capability://analytics.customer.churn.risk.prediction","name":"customer-churn-risk-prediction","description":"Analyzes customer behavior patterns, support history, and sentiment to predict which customers are at risk of churning. Surfaces high-risk accounts proactively so support teams can intervene before customers leave.","intents":["I want to identify customers likely to cancel before they do","I need to know which accounts require immediate attention to prevent churn","I want to prioritize retention efforts on high-value at-risk customers","I need to understand what's driving customer dissatisfaction early"],"best_for":["subscription-based businesses","organizations focused on customer retention","teams with high customer lifetime value","companies wanting to reduce involuntary churn"],"limitations":["predictions are probabilistic, not deterministic","requires sufficient historical data to be accurate","may have false positives requiring manual review","cannot predict churn from external market factors"],"requires":["Zendesk AI subscription","historical customer data and support tickets","customer interaction history","defined churn indicators"],"input_types":["customer support tickets","customer interaction history","customer metadata","support sentiment data"],"output_types":["churn risk score","risk level classification","risk factors identified","recommended interventions"],"categories":["analytics","predictive-analytics","customer-success"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_4","uri":"capability://analytics.sentiment.analysis.and.escalation.detection","name":"sentiment-analysis-and-escalation-detection","description":"Analyzes customer sentiment in support tickets and conversations to identify frustrated or angry customers and potential escalation situations. Flags high-priority emotional states so teams can respond appropriately.","intents":["I want to identify upset customers who need immediate attention","I need to catch potential escalations before they become major issues","I want to ensure frustrated customers get priority handling","I need to track customer satisfaction trends across tickets"],"best_for":["customer support teams","organizations with high customer interaction volume","teams wanting to improve customer satisfaction","companies managing reputation and escalations"],"limitations":["sentiment analysis may miss sarcasm or cultural nuances","requires sufficient text content to analyze accurately","cannot detect sentiment from non-text channels without integration","may flag false positives in technical language"],"requires":["Zendesk AI subscription","customer ticket content","text-based customer communications"],"input_types":["customer ticket messages","customer communications","support conversation text"],"output_types":["sentiment score","sentiment classification","escalation flags","priority recommendations"],"categories":["analytics","customer-support","sentiment-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_5","uri":"capability://customer.support.knowledge.base.powered.answer.generation","name":"knowledge-base-powered-answer-generation","description":"Generates accurate answers to customer questions by searching and synthesizing information from the organization's knowledge base. Ensures responses are grounded in official documentation and company policies.","intents":["I want AI to answer questions using only our official knowledge base","I need to ensure customers get accurate information from our documentation","I want to reduce agent time spent searching for answers","I need to maintain consistency in how we answer common questions"],"best_for":["organizations with comprehensive knowledge bases","support teams handling FAQ-type questions","companies with strict information accuracy requirements","teams wanting to reduce research time per ticket"],"limitations":["only as good as the knowledge base content","cannot answer questions not covered in documentation","requires regular knowledge base updates","may generate hallucinations if knowledge base is incomplete"],"requires":["Zendesk AI subscription","comprehensive and up-to-date knowledge base","well-organized and searchable documentation","regular knowledge base maintenance"],"input_types":["customer questions","support tickets","knowledge base articles"],"output_types":["generated answers","knowledge base references","answer confidence scores"],"categories":["customer-support","knowledge-management","ai-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_6","uri":"capability://customer.support.ticket.summarization.and.context.extraction","name":"ticket-summarization-and-context-extraction","description":"Automatically summarizes long ticket conversations and extracts key information such as customer issue, resolution steps, and action items. Helps agents quickly understand ticket context without reading entire conversation history.","intents":["I want agents to quickly understand ticket context when picking up a conversation","I need to extract key information from long ticket threads","I want to create summaries for handoffs between agents or teams","I need to identify what was already tried before escalating"],"best_for":["support teams with long ticket conversations","organizations with ticket handoffs between agents","teams managing complex multi-step issues","agents handling tickets they didn't originate"],"limitations":["summaries may miss important details in very long conversations","cannot extract information not explicitly stated in tickets","may struggle with technical jargon without context","requires sufficient ticket content to summarize effectively"],"requires":["Zendesk AI subscription","ticket conversation history","text-based ticket content"],"input_types":["ticket conversation threads","customer messages","agent notes"],"output_types":["ticket summary","extracted key information","action items list","resolution status"],"categories":["customer-support","summarization","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_7","uri":"capability://customer.support.multi.language.support.and.translation","name":"multi-language-support-and-translation","description":"Enables support for customers in multiple languages by automatically translating tickets and generating responses in the customer's language. Allows global support teams to serve international customers without language barriers.","intents":["I want to support customers who speak different languages","I need to translate incoming tickets from non-English speakers","I want agents to respond in the customer's native language","I need to expand support to international markets"],"best_for":["global companies with international customers","organizations expanding to new markets","support teams with multilingual customer bases","companies wanting to improve international customer experience"],"limitations":["translation quality varies by language pair","may struggle with technical terminology in some languages","cultural context and idioms may not translate perfectly","requires language detection to work automatically"],"requires":["Zendesk AI subscription","language detection and translation models","support for target languages"],"input_types":["customer tickets in multiple languages","customer messages","support responses"],"output_types":["translated tickets","translated responses","language detection","multilingual support"],"categories":["customer-support","localization","translation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_8","uri":"capability://analytics.customer.satisfaction.metrics.and.reporting","name":"customer-satisfaction-metrics-and-reporting","description":"Tracks and reports on support team performance metrics including resolution time, customer satisfaction scores, agent productivity, and AI agent effectiveness. Provides dashboards and insights for continuous improvement.","intents":["I want to measure how well my support team is performing","I need to track the impact of AI agents on ticket volume and resolution time","I want to identify which agents or teams need coaching","I need to report on customer satisfaction trends to leadership"],"best_for":["support managers and directors","organizations focused on continuous improvement","teams implementing AI and wanting to measure ROI","companies with SLA requirements"],"limitations":["metrics are only as accurate as the data collected","cannot measure customer satisfaction without CSAT/NPS surveys","may not capture all relevant performance indicators","requires consistent ticket tagging for accurate reporting"],"requires":["Zendesk AI subscription","historical ticket and resolution data","customer satisfaction survey data","defined KPIs and metrics"],"input_types":["ticket data","resolution metrics","customer satisfaction surveys","agent activity logs"],"output_types":["performance dashboards","metric reports","trend analysis","KPI summaries"],"categories":["analytics","reporting","performance-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_zendesk-ai__cap_9","uri":"capability://customer.support.intent.recognition.and.categorization","name":"intent-recognition-and-categorization","description":"Automatically identifies customer intent from support tickets and categorizes issues into predefined categories. Enables better routing, analytics, and understanding of customer needs across the support operation.","intents":["I want to automatically categorize incoming tickets by issue type","I need to understand what customers are asking about","I want to track trends in customer issues and problems","I need to route tickets based on the type of issue"],"best_for":["support teams with diverse issue types","organizations wanting to understand customer needs","teams needing better ticket categorization","companies tracking issue trends"],"limitations":["accuracy depends on training data quality","may struggle with ambiguous or multi-intent tickets","requires predefined categories to work effectively","cannot recognize new intent types without retraining"],"requires":["Zendesk AI subscription","predefined intent categories","training data with labeled examples","regular model updates"],"input_types":["customer support tickets","customer messages","ticket subject lines"],"output_types":["intent classification","category assignment","confidence scores","intent tags"],"categories":["customer-support","nlp","categorization"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Zendesk account with AI add-on subscription","historical ticket data for training","defined intents and resolution workflows","$55+ per agent per month additional cost","Zendesk AI add-on subscription","comprehensive knowledge base","agent training on using copilot effectively","integration with Zendesk agent workspace","Zendesk AI subscription","integration with operational systems"],"failure_modes":["accuracy inconsistent on domain-specific or complex questions","requires extensive training data and fine-tuning for specialized domains","limited to intent-based automation compared to competitors","cannot handle nuanced or context-dependent customer issues","suggestions may require editing for accuracy or tone","effectiveness depends on quality of knowledge base","agents must still review and approve all suggestions","may not capture brand voice or specific customer context perfectly","requires integration with operational systems to detect issues","may generate false positives requiring manual review","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.21666666666666667,"quality":0.6,"ecosystem":0.37,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.117Z","last_scraped_at":"2026-04-05T13:23:42.563Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=zendesk-ai","compare_url":"https://unfragile.ai/compare?artifact=zendesk-ai"}},"signature":"0a4OI/T0yFrOy2YDf1yNDhrvQvElact7AZqkIKPmkuepaI+BHamg+1+aOJLNXvQ/l/Qz5e657i2fH++HdDH0Dg==","signedAt":"2026-06-20T16:11:37.268Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/zendesk-ai","artifact":"https://unfragile.ai/zendesk-ai","verify":"https://unfragile.ai/api/v1/verify?slug=zendesk-ai","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}