{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_awsme-ai","slug":"awsme-ai","name":"AWSME AI","type":"product","url":"https://www.awsme.ai","page_url":"https://unfragile.ai/awsme-ai","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_awsme-ai__cap_0","uri":"capability://customer.support.video.enhanced.customer.support.interaction","name":"video-enhanced customer support interaction","description":"Enables customers to submit support requests with embedded video content showing their issue in action. The system processes video input alongside text descriptions to provide support agents with richer context for faster diagnosis and resolution.","intents":["I want to show my support agent exactly what's happening with my product","I need to explain a complex visual issue without typing a long description","I want faster resolution by giving my support team complete context upfront"],"best_for":["SaaS companies","hardware manufacturers","financial services platforms","technical product support teams"],"limitations":["Requires customer to have video recording capability","Video processing may add latency to support intake","Storage and bandwidth costs scale with video volume"],"requires":["Video upload infrastructure","Video processing/transcoding capability","Agent interface supporting video playback"],"input_types":["video files","screen recordings","text descriptions"],"output_types":["annotated video","support ticket with video attachment","agent dashboard with video preview"],"categories":["customer-support","multimedia"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_1","uri":"capability://customer.support.voice.based.customer.support.intake","name":"voice-based customer support intake","description":"Allows customers to submit support requests via voice messages or voice calls, which are transcribed and processed by the AI system. Enables more natural communication for customers who prefer speaking over typing.","intents":["I want to explain my issue by talking instead of typing","I need immediate voice support without waiting for email response","I want to provide detailed context quickly through natural speech"],"best_for":["Support teams handling non-technical users","Companies with elderly or accessibility-focused customer bases","High-touch support environments"],"limitations":["Requires accurate speech-to-text transcription","Accents and background noise may reduce accuracy","Voice context can be lost in transcription"],"requires":["Speech recognition engine","Voice recording infrastructure","Transcription processing pipeline"],"input_types":["voice messages","phone calls","audio files"],"output_types":["transcribed text","support ticket","audio + transcript hybrid record"],"categories":["customer-support","multimedia","accessibility"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_10","uri":"capability://customer.support.helpdesk.system.integration.and.synchronization","name":"helpdesk system integration and synchronization","description":"Integrates AWSME AI with existing helpdesk platforms (Zendesk, Intercom, Freshdesk, etc.) and keeps ticket data synchronized across systems. Enables seamless workflow without requiring agents to switch platforms.","intents":["I want to use AWSME AI without replacing my existing helpdesk","I need my support data to sync automatically between systems","I want to add AI capabilities to my current support workflow"],"best_for":["Organizations with existing helpdesk investments","Companies wanting to augment rather than replace systems","Enterprises with complex integrations"],"limitations":["Integration complexity varies by helpdesk platform","Data sync latency may cause temporary inconsistencies","Requires API access and technical setup"],"requires":["Helpdesk platform API access","Integration middleware","Data mapping configuration"],"input_types":["helpdesk tickets","customer data","agent interactions"],"output_types":["synchronized tickets","enriched ticket data","AI-generated insights in helpdesk UI"],"categories":["customer-support","integration","workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_11","uri":"capability://customer.support.customer.self.service.issue.resolution","name":"customer self-service issue resolution","description":"Provides AI-powered self-service capabilities where customers can get instant answers to common questions through multimedia-enhanced chatbot interface. Reduces support ticket volume by enabling customers to resolve issues independently.","intents":["I want to solve my problem without contacting support","I need an instant answer to a common question","I prefer self-service over waiting for agent response"],"best_for":["Companies with high-volume repetitive issues","Organizations wanting to reduce support costs","Customers preferring self-service"],"limitations":["Only works for common, well-documented issues","Complex issues still require human support","Requires comprehensive knowledge base"],"requires":["Knowledge base","Chatbot interface","Multimedia content library"],"input_types":["customer question","issue description","search query"],"output_types":["suggested solutions","knowledge base articles","video tutorials","escalation to agent"],"categories":["customer-support","self-service","automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_12","uri":"capability://customer.support.support.interaction.recording.and.compliance","name":"support interaction recording and compliance","description":"Records and stores all support interactions (video, voice, text) with compliance controls for data privacy, retention policies, and audit trails. Ensures organizations meet regulatory requirements while maintaining interaction history.","intents":["I need to record support interactions for compliance and training","I want to ensure customer data is handled according to regulations","I need audit trails for support interactions"],"best_for":["Regulated industries (finance, healthcare)","Organizations with compliance requirements","Companies needing interaction history"],"limitations":["Recording requires explicit customer consent in many jurisdictions","Storage costs scale with interaction volume","Compliance requirements vary by region"],"requires":["Secure storage infrastructure","Encryption","Consent management","Retention policy enforcement"],"input_types":["video","audio","text","metadata"],"output_types":["encrypted recording","audit log","compliance report"],"categories":["customer-support","compliance","security"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_2","uri":"capability://customer.support.ai.driven.support.ticket.triage.and.routing","name":"ai-driven support ticket triage and routing","description":"Automatically analyzes incoming support requests (across text, video, and voice) to categorize issues, assess urgency, and route them to the appropriate support agent or team. Reduces manual triage overhead and ensures faster time-to-resolution.","intents":["I want to automatically route complex technical issues to my senior engineers","I need to prioritize urgent customer issues ahead of routine requests","I want to reduce the time my team spends on ticket categorization"],"best_for":["High-volume support operations","Multi-team support organizations","Companies with specialized support tiers"],"limitations":["Requires training data on historical tickets for accuracy","May misroute novel or ambiguous issues","Needs ongoing tuning as products/services evolve"],"requires":["Historical ticket database","Team/skill taxonomy","ML model training pipeline","Integration with ticketing system"],"input_types":["support tickets","customer descriptions","issue metadata"],"output_types":["routing decision","priority score","assigned queue/agent"],"categories":["customer-support","automation","workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_3","uri":"capability://customer.support.multimedia.context.aggregation.for.support.agents","name":"multimedia context aggregation for support agents","description":"Consolidates video, voice, images, and text from customer submissions into a unified support dashboard view. Agents can quickly review all customer-provided context in one place without switching between systems.","intents":["I want to see all customer-provided information in one place","I need to quickly understand the full context before responding","I want to avoid missing important details buried in different formats"],"best_for":["Support agents handling complex issues","Teams using multiple communication channels","Organizations prioritizing first-contact resolution"],"limitations":["Requires integration with existing ticketing systems","Display complexity increases with more media types","Bandwidth needed to load rich media in agent interface"],"requires":["Ticketing system integration","Media storage and retrieval","Agent dashboard UI"],"input_types":["video files","audio files","images","text","metadata"],"output_types":["unified ticket view","media player interface","searchable transcript"],"categories":["customer-support","workflow","information-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_4","uri":"capability://customer.support.automated.issue.resolution.suggestion","name":"automated issue resolution suggestion","description":"Analyzes customer issues (from all media types) and suggests potential solutions or knowledge base articles to support agents. Uses AI to match customer problems against historical resolutions and company knowledge base.","intents":["I want AI to suggest solutions before I respond to a customer","I need to quickly find relevant knowledge base articles for this issue","I want to reduce time spent searching for solutions"],"best_for":["Support teams with established knowledge bases","Organizations with recurring issue patterns","First-line support agents"],"limitations":["Accuracy depends on knowledge base quality and completeness","May suggest irrelevant solutions for novel issues","Requires regular knowledge base updates"],"requires":["Knowledge base or documentation system","Historical ticket database","Suggestion ranking algorithm"],"input_types":["support ticket","issue description","customer context"],"output_types":["suggested solutions","knowledge base article links","confidence scores"],"categories":["customer-support","knowledge-management","ai-assistance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_5","uri":"capability://customer.support.customer.sentiment.analysis.across.media.types","name":"customer sentiment analysis across media types","description":"Analyzes customer communication (text, voice tone, video body language) to assess emotional state and urgency. Helps support teams identify frustrated or at-risk customers who need priority attention.","intents":["I want to identify angry customers who need immediate attention","I need to understand customer frustration level from their voice tone","I want to flag high-churn-risk customers for escalation"],"best_for":["Customer success teams","High-touch support organizations","Companies focused on customer retention"],"limitations":["Sentiment analysis from video/voice is less accurate than text","Cultural and linguistic nuances may be misinterpreted","Requires careful handling to avoid bias"],"requires":["Sentiment analysis models","Voice tone analysis capability","Video analysis for non-verbal cues"],"input_types":["text","voice/audio","video"],"output_types":["sentiment score","urgency flag","escalation recommendation"],"categories":["customer-support","analytics","ai-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_6","uri":"capability://customer.support.support.queue.time.prediction.and.optimization","name":"support queue time prediction and optimization","description":"Predicts support queue wait times based on current ticket volume, complexity, and agent availability. Helps optimize resource allocation and set customer expectations for response times.","intents":["I want to tell customers how long they'll wait for support","I need to know if I should hire more agents for peak times","I want to optimize my support team's schedule"],"best_for":["High-volume support operations","Organizations with variable demand patterns","Support managers focused on efficiency"],"limitations":["Predictions degrade during unusual demand spikes","Requires sufficient historical data for accuracy","Doesn't account for unexpected events"],"requires":["Historical queue data","Agent availability tracking","Ticket complexity metrics"],"input_types":["current queue state","agent availability","historical patterns"],"output_types":["wait time estimate","resource recommendation","optimization suggestion"],"categories":["customer-support","analytics","operations"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_7","uri":"capability://customer.support.multi.language.support.ticket.processing","name":"multi-language support ticket processing","description":"Automatically detects and translates customer support requests across multiple languages, enabling global support teams to handle international customers without language barriers.","intents":["I want to support customers in their native language","I need to translate incoming tickets for my English-speaking team","I want to respond to international customers without hiring multilingual staff"],"best_for":["Global companies","International SaaS platforms","Companies expanding into new markets"],"limitations":["Translation quality varies by language pair","Technical terminology may be mistranslated","Requires post-translation review for accuracy"],"requires":["Translation API/engine","Language detection","Multilingual knowledge base"],"input_types":["text in any language","voice in any language","video with audio"],"output_types":["translated ticket","language-tagged metadata","multilingual response suggestions"],"categories":["customer-support","localization","ai-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_8","uri":"capability://customer.support.customer.issue.pattern.recognition.and.reporting","name":"customer issue pattern recognition and reporting","description":"Identifies recurring issues, trends, and patterns across all support tickets and media types. Generates reports highlighting systemic problems that may indicate product bugs or design issues.","intents":["I want to know what issues are most common in my customer base","I need to identify product bugs from support ticket patterns","I want to report support trends to my product team"],"best_for":["Product managers","Support leadership","Quality assurance teams","Companies with mature support operations"],"limitations":["Requires sufficient ticket volume for statistical significance","Pattern detection may miss emerging issues","Correlation doesn't imply causation"],"requires":["Historical ticket database","Pattern recognition algorithms","Reporting dashboard"],"input_types":["support tickets","issue categories","customer metadata"],"output_types":["trend reports","pattern visualizations","issue frequency rankings"],"categories":["customer-support","analytics","product-insights"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_awsme-ai__cap_9","uri":"capability://customer.support.agent.performance.and.quality.scoring","name":"agent performance and quality scoring","description":"Automatically evaluates support agent performance based on resolution time, customer satisfaction, ticket quality, and adherence to company standards. Provides individual and team-level performance metrics.","intents":["I want to measure my support team's performance objectively","I need to identify top performers for recognition or promotion","I want to track quality metrics across my support organization"],"best_for":["Support managers","Quality assurance teams","Organizations with performance-based compensation"],"limitations":["Metrics may not capture full quality picture","Can create perverse incentives if not designed carefully","Requires clear performance standards"],"requires":["Performance data collection","Scoring algorithm","Historical baseline data"],"input_types":["ticket metadata","resolution time","customer feedback","agent interactions"],"output_types":["performance score","quality metrics","comparative rankings"],"categories":["customer-support","analytics","management"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"high","permissions":["Video upload infrastructure","Video processing/transcoding capability","Agent interface supporting video playback","Speech recognition engine","Voice recording infrastructure","Transcription processing pipeline","Helpdesk platform API access","Integration middleware","Data mapping configuration","Knowledge base"],"failure_modes":["Requires customer to have video recording capability","Video processing may add latency to support intake","Storage and bandwidth costs scale with video volume","Requires accurate speech-to-text transcription","Accents and background noise may reduce accuracy","Voice context can be lost in transcription","Integration complexity varies by helpdesk platform","Data sync latency may cause temporary inconsistencies","Requires API access and technical setup","Only works for common, well-documented issues","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.39999999999999997,"quality":0.82,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:29.134Z","last_scraped_at":"2026-04-05T13:23:42.550Z","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=awsme-ai","compare_url":"https://unfragile.ai/compare?artifact=awsme-ai"}},"signature":"QIErM1Miu3zGzr8Tkyh8twQJxmQQOkp/ehM8XchkrQL6LAEre/C69XuM+YelM4agIt+QR7pIAUgaFSSiMkVaCA==","signedAt":"2026-06-21T03:19:24.486Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/awsme-ai","artifact":"https://unfragile.ai/awsme-ai","verify":"https://unfragile.ai/api/v1/verify?slug=awsme-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"}}