{ "$schema": "https://ar-tik.com/data/schemas/ai-applications-atlas.schema.json", "generatedAt": "2026-07-02", "publisher": "Artik Lab s.r.l.", "canonicalDomain": "https://ar-tik.com", "locale": "en", "language": "en", "title": "What AI can do inside a company.", "description": "structured dataset of AI applications for companies, with input, output, value, related services, courses, search intents and need signals.", "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md", "json": "https://ar-tik.com/data/ai-applications.en.json" }, "areas": [ { "id": "documents", "label": "Documents and knowledge", "hint": "When work depends on PDFs, scans, contracts or procedures.", "applicationCount": 4 }, { "id": "operations", "label": "Operations", "hint": "When decisions, priorities and manual handoffs slow the process down.", "applicationCount": 6 }, { "id": "people", "label": "People and HR", "hint": "When skills, onboarding or feedback remain scattered across functions.", "applicationCount": 3 }, { "id": "customer", "label": "Customer, marketing and sales", "hint": "When customers, content and sales generate signals nobody is reading.", "applicationCount": 4 }, { "id": "technical", "label": "Technical and software", "hint": "When rules, code, drawings or technical systems need to become verifiable.", "applicationCount": 4 }, { "id": "governance", "label": "Governance, compliance and risk", "hint": "When AI use, privacy, risk and responsibilities still lack clear boundaries.", "applicationCount": 3 }, { "id": "production", "label": "Production, quality and maintenance", "hint": "When production, quality or maintenance data arrives too late to guide action.", "applicationCount": 3 }, { "id": "training", "label": "Training and internal memory", "hint": "When internal knowledge and training material need to remain accessible.", "applicationCount": 2 }, { "id": "data", "label": "Data science and decisions", "hint": "When histories, KPIs or signals need validation before anything is built.", "applicationCount": 5 }, { "id": "transversal", "label": "Cross-functional tools", "hint": "When AI is needed to explore, synthesise or prepare cross-functional decisions.", "applicationCount": 2 } ], "applications": [ { "id": "document-structure-extraction", "locale": "en", "language": "en", "area": "documents", "areaLabel": "Documents and knowledge", "title": "Extract data from documents and scans", "description": "PDFs, images and forms become text, tables and structured fields reusable in company systems.", "input": [ "PDFs and attachments", "scans and images", "completed forms" ], "output": [ "structured database", "operational report" ], "businessValue": [ "time reduction", "fewer errors", "traceability" ], "relatedServiceIds": [ "technical-software-development" ], "relatedServices": [ { "id": "technical-software-development", "title": "Technical AI software", "url": "https://ar-tik.com/en/technical-software-development.html" } ], "relatedCourseIds": [ "ai-documenti", "embeddings" ], "relatedCourses": [ { "id": "ai-documenti", "title": "AI course: managing documents with AI", "url": "https://ar-tik.com/en/courses/ai-documenti.html" }, { "id": "embeddings", "title": "Semantic search and AI knowledge bases", "url": "https://ar-tik.com/en/courses/embeddings.html" } ], "applicableSectors": [ "professional services", "HSE, safety and technical services", "manufacturing" ], "searchIntents": [ "AI for extract data from documents and scans", "AI applications for documents and knowledge", "how to use AI in companies for extract data from documents and scans" ], "needSignals": [ "scattered documents that are hard to consult", "manual copying between emails, spreadsheets and systems" ], "operationalExample": "When a process shows a similar need, pdfs and attachments are used to produce structured database and support time reduction, with human review recommended.", "privacyNotes": "Use authorised data, minimise personal information and keep human review on relevant outputs.", "humanReview": "recommended", "humanReviewCode": "recommended", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "ocr", "documenti", "estrazione" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#document-structure-extraction", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Extract data from documents and scans", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Extract data from documents and scans", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "document-coherence-audit", "locale": "en", "language": "en", "area": "documents", "areaLabel": "Documents and knowledge", "title": "Check consistency across documents", "description": "Reports, contracts, specifications and procedures are compared to find discrepancies, divergent versions and inconsistent definitions.", "input": [ "PDFs and attachments", "internal documentation", "contracts and policies", "tenders and specifications" ], "output": [ "operational report", "risk map" ], "businessValue": [ "fewer errors", "risk reduction", "traceability" ], "relatedServiceIds": [ "ai-management-consulting", "technical-software-development" ], "relatedServices": [ { "id": "ai-management-consulting", "title": "AI management consulting", "url": "https://ar-tik.com/en/ai-management-consulting.html" }, { "id": "technical-software-development", "title": "Technical AI software", "url": "https://ar-tik.com/en/technical-software-development.html" } ], "relatedCourseIds": [ "ai-documenti", "ai-legal-ops", "ai-output-quality" ], "relatedCourses": [ { "id": "ai-documenti", "title": "AI course: managing documents with AI", "url": "https://ar-tik.com/en/courses/ai-documenti.html" }, { "id": "ai-legal-ops", "title": "AI Legal Ops and compliance documentation", "url": "https://ar-tik.com/en/courses/ai-legal-ops.html" }, { "id": "ai-output-quality", "title": "AI Output Quality & Human Review", "url": "https://ar-tik.com/en/courses/ai-output-quality.html" } ], "applicableSectors": [ "professional services", "technical offices and engineering", "HSE, safety and technical services" ], "searchIntents": [ "AI for check consistency across documents", "AI applications for documents and knowledge", "how to use AI in companies for check consistency across documents" ], "needSignals": [ "recurring errors in documents, procedures or controls", "scattered documents that are hard to consult" ], "operationalExample": "When a process shows a similar need, pdfs and attachments are used to produce operational report and support fewer errors, with human review required.", "privacyNotes": "Requires anonymisation, access control and specialist review when personal, legal, HR or regulated data is involved.", "humanReview": "required", "humanReviewCode": "required", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "coerenza", "contratti", "capitolati" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#document-coherence-audit", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Check consistency across documents", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Check consistency across documents", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "semantic-knowledge-search", "locale": "en", "language": "en", "area": "documents", "areaLabel": "Documents and knowledge", "title": "Make company knowledge searchable by meaning", "description": "Manuals, procedures and knowledge bases become semantic search with answers grounded in citable sources.", "input": [ "internal documentation", "PDFs and attachments", "manuals and training material" ], "output": [ "semantic search", "FAQs and answers" ], "businessValue": [ "transferable knowledge", "faster decisions", "more consistent service" ], "relatedServiceIds": [ "technical-software-development" ], "relatedServices": [ { "id": "technical-software-development", "title": "Technical AI software", "url": "https://ar-tik.com/en/technical-software-development.html" } ], "relatedCourseIds": [ "embeddings", "rag-engineering", "ai-customer-service" ], "relatedCourses": [ { "id": "embeddings", "title": "Semantic search and AI knowledge bases", "url": "https://ar-tik.com/en/courses/embeddings.html" }, { "id": "rag-engineering", "title": "RAG Engineering for reliable AI systems", "url": "https://ar-tik.com/en/courses/rag-engineering.html" }, { "id": "ai-customer-service", "title": "AI for customer service and ticket triage", "url": "https://ar-tik.com/en/courses/ai-customer-service.html" } ], "applicableSectors": [ "cross-company functions", "technical offices and engineering", "training and knowledge-intensive organisations" ], "searchIntents": [ "AI for make company knowledge searchable by meaning", "AI applications for documents and knowledge", "how to use AI in companies for make company knowledge searchable by meaning" ], "needSignals": [ "scattered documents that are hard to consult", "critical knowledge concentrated in a few people" ], "operationalExample": "When a process shows a similar need, internal documentation are used to produce semantic search and support transferable knowledge, with human review recommended.", "privacyNotes": "Use authorised data, minimise personal information and keep human review on relevant outputs.", "humanReview": "recommended", "humanReviewCode": "recommended", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "knowledge-base", "rag", "ricerca" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#semantic-knowledge-search", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Make company knowledge searchable by meaning", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Make company knowledge searchable by meaning", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "meeting-email-decision-memory", "locale": "en", "language": "en", "area": "operations", "areaLabel": "Operations", "title": "Turn meetings, emails and tickets into operating memory", "description": "Transcripts and threads are cleaned, summarised and converted into traceable decisions, tasks, deadlines and risks.", "input": [ "emails and tickets", "transcripts and notes", "tickets and requests" ], "output": [ "actionable digest", "roadmap and priorities" ], "businessValue": [ "traceability", "faster decisions", "transferable knowledge" ], "relatedServiceIds": [ "ai-management-consulting" ], "relatedServices": [ { "id": "ai-management-consulting", "title": "AI management consulting", "url": "https://ar-tik.com/en/ai-management-consulting.html" } ], "relatedCourseIds": [ "ai-operations", "workflow-redesign" ], "relatedCourses": [ { "id": "ai-operations", "title": "AI Operations", "url": "https://ar-tik.com/en/courses/ai-operations.html" }, { "id": "workflow-redesign", "title": "AI Workflow Redesign Lab", "url": "https://ar-tik.com/en/courses/workflow-redesign.html" } ], "applicableSectors": [ "cross-company functions", "professional services", "technical offices and engineering" ], "searchIntents": [ "AI for turn meetings, emails and tickets into operating memory", "AI applications for operations", "how to use AI in companies for turn meetings, emails and tickets into operating memory" ], "needSignals": [ "recurring decisions that are slow or based on incomplete information", "critical knowledge concentrated in a few people" ], "operationalExample": "When a process shows a similar need, emails and tickets are used to produce actionable digest and support traceability, with human review recommended.", "privacyNotes": "Use authorised data, minimise personal information and keep human review on relevant outputs.", "humanReview": "recommended", "humanReviewCode": "recommended", "riskLevel": "low", "riskLevelCode": "low", "tags": [ "riunioni", "email", "task" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#meeting-email-decision-memory", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Turn meetings, emails and tickets into operating memory", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Turn meetings, emails and tickets into operating memory", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "controlled-document-generation", "locale": "en", "language": "en", "area": "documents", "areaLabel": "Documents and knowledge", "title": "Generate controlled documents from templates", "description": "Reports, letters, contracts, FAQs and communications are produced from data and templates, with formal consistency and human review.", "input": [ "structured database", "internal documentation", "contracts and policies" ], "output": [ "controlled drafts", "FAQs and answers" ], "businessValue": [ "time reduction", "fewer errors", "more governable compliance" ], "relatedServiceIds": [ "ai-management-consulting" ], "relatedServices": [ { "id": "ai-management-consulting", "title": "AI management consulting", "url": "https://ar-tik.com/en/ai-management-consulting.html" } ], "relatedCourseIds": [ "ai-documenti", "ai-legal-ops", "ai-output-quality" ], "relatedCourses": [ { "id": "ai-documenti", "title": "AI course: managing documents with AI", "url": "https://ar-tik.com/en/courses/ai-documenti.html" }, { "id": "ai-legal-ops", "title": "AI Legal Ops and compliance documentation", "url": "https://ar-tik.com/en/courses/ai-legal-ops.html" }, { "id": "ai-output-quality", "title": "AI Output Quality & Human Review", "url": "https://ar-tik.com/en/courses/ai-output-quality.html" } ], "applicableSectors": [ "professional services", "finance, control and regulated services", "HSE, safety and technical services" ], "searchIntents": [ "AI for generate controlled documents from templates", "AI applications for documents and knowledge", "how to use AI in companies for generate controlled documents from templates" ], "needSignals": [ "manual copying between emails, spreadsheets and systems", "recurring errors in documents, procedures or controls" ], "operationalExample": "When a process shows a similar need, structured database are used to produce controlled drafts and support time reduction, with human review required.", "privacyNotes": "Requires anonymisation, access control and specialist review when personal, legal, HR or regulated data is involved.", "humanReview": "required", "humanReviewCode": "required", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "template", "documenti", "report" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#controlled-document-generation", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Generate controlled documents from templates", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Generate controlled documents from templates", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "process-mapping-redesign", "locale": "en", "language": "en", "area": "operations", "areaLabel": "Operations", "title": "Map processes and redesign workflows", "description": "Real work is reconstructed as-is, read for bottlenecks and transformed into a to-be scenario with priorities and controls.", "input": [ "transcripts and notes", "logs and process states", "emails and tickets", "spreadsheets" ], "output": [ "roadmap and priorities", "business case" ], "businessValue": [ "clearer priorities", "faster decisions", "avoided costs" ], "relatedServiceIds": [ "ai-management-consulting" ], "relatedServices": [ { "id": "ai-management-consulting", "title": "AI management consulting", "url": "https://ar-tik.com/en/ai-management-consulting.html" } ], "relatedCourseIds": [ "workflow-redesign", "ai-business-case-roi" ], "relatedCourses": [ { "id": "workflow-redesign", "title": "AI Workflow Redesign Lab", "url": "https://ar-tik.com/en/courses/workflow-redesign.html" }, { "id": "ai-business-case-roi", "title": "AI Business Case & ROI Sprint", "url": "https://ar-tik.com/en/courses/ai-business-case-roi.html" } ], "applicableSectors": [ "cross-company functions", "manufacturing", "professional services" ], "searchIntents": [ "AI for map processes and redesign workflows", "AI applications for operations", "how to use AI in companies for map processes and redesign workflows" ], "needSignals": [ "recurring decisions that are slow or based on incomplete information", "manual copying between emails, spreadsheets and systems", "AI already used without shared rules" ], "operationalExample": "When a process shows a similar need, transcripts and notes are used to produce roadmap and priorities and support clearer priorities, with human review recommended.", "privacyNotes": "Use authorised data, minimise personal information and keep human review on relevant outputs.", "humanReview": "recommended", "humanReviewCode": "recommended", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "processi", "workflow", "roadmap" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#process-mapping-redesign", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Map processes and redesign workflows", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Map processes and redesign workflows", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "email-ticket-triage", "locale": "en", "language": "en", "area": "operations", "areaLabel": "Operations", "title": "Triage emails, tickets and requests", "description": "Incoming communications are classified by urgency, topic, responsibility and required action, with controlled response drafts.", "input": [ "emails and tickets", "tickets and requests", "internal documentation" ], "output": [ "actionable digest", "controlled drafts", "priority ranking" ], "businessValue": [ "time reduction", "more consistent service", "clearer priorities" ], "relatedServiceIds": [ "technical-software-development" ], "relatedServices": [ { "id": "technical-software-development", "title": "Technical AI software", "url": "https://ar-tik.com/en/technical-software-development.html" } ], "relatedCourseIds": [ "ai-customer-service", "ai-operations" ], "relatedCourses": [ { "id": "ai-customer-service", "title": "AI for customer service and ticket triage", "url": "https://ar-tik.com/en/courses/ai-customer-service.html" }, { "id": "ai-operations", "title": "AI Operations", "url": "https://ar-tik.com/en/courses/ai-operations.html" } ], "applicableSectors": [ "cross-company functions", "HSE, safety and technical services", "technical offices and engineering" ], "searchIntents": [ "AI for triage emails, tickets and requests", "AI applications for operations", "how to use AI in companies for triage emails, tickets and requests" ], "needSignals": [ "manual copying between emails, spreadsheets and systems", "recurring decisions that are slow or based on incomplete information" ], "operationalExample": "When a process shows a similar need, emails and tickets are used to produce actionable digest and support time reduction, with human review recommended.", "privacyNotes": "Use authorised data, minimise personal information and keep human review on relevant outputs.", "humanReview": "recommended", "humanReviewCode": "recommended", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "triage", "email", "ticket" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#email-ticket-triage", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Triage emails, tickets and requests", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Triage emails, tickets and requests", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "scheduling-resource-allocation", "locale": "en", "language": "en", "area": "operations", "areaLabel": "Operations", "title": "Plan shifts, resources and priorities", "description": "Availability, constraints, skills, leave and demand are combined to propose feasible and explainable plans.", "input": [ "spreadsheets", "ERP and business systems", "KPIs and time series" ], "output": [ "plan and assignments", "dashboards and filtered views" ], "businessValue": [ "production efficiency", "faster decisions", "avoided costs" ], "relatedServiceIds": [ "technical-software-development", "agentic-data-analysis" ], "relatedServices": [ { "id": "technical-software-development", "title": "Technical AI software", "url": "https://ar-tik.com/en/technical-software-development.html" }, { "id": "agentic-data-analysis", "title": "Agentic data analysis", "url": "https://ar-tik.com/en/agentic-data-analysis.html" } ], "relatedCourseIds": [ "ai-operations" ], "relatedCourses": [ { "id": "ai-operations", "title": "AI Operations", "url": "https://ar-tik.com/en/courses/ai-operations.html" } ], "applicableSectors": [ "manufacturing", "logistics and supply chain", "HSE, safety and technical services" ], "searchIntents": [ "AI for plan shifts, resources and priorities", "AI applications for operations", "how to use AI in companies for plan shifts, resources and priorities" ], "needSignals": [ "planning that is still highly manual", "historical data available but not turned into signals" ], "operationalExample": "When a process shows a similar need, spreadsheets are used to produce plan and assignments and support production efficiency, with human review required.", "privacyNotes": "Use authorised data, minimise personal information and keep human review on relevant outputs.", "humanReview": "required", "humanReviewCode": "required", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "pianificazione", "turni", "risorse" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#scheduling-resource-allocation", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Plan shifts, resources and priorities", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Plan shifts, resources and priorities", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "demand-workload-forecast", "locale": "en", "language": "en", "area": "operations", "areaLabel": "Operations", "title": "Forecast demand and workload", "description": "Historical orders, revenue, tickets or production become operating forecasts for purchasing, shifts and capacity.", "input": [ "transactions and purchases", "KPIs and time series", "production data" ], "output": [ "verifiable forecast", "dashboards and filtered views" ], "businessValue": [ "faster decisions", "avoided costs", "production efficiency" ], "relatedServiceIds": [ "agentic-data-analysis" ], "relatedServices": [ { "id": "agentic-data-analysis", "title": "Agentic data analysis", "url": "https://ar-tik.com/en/agentic-data-analysis.html" } ], "relatedCourseIds": [ "ai-business-case-roi", "ai-operations" ], "relatedCourses": [ { "id": "ai-business-case-roi", "title": "AI Business Case & ROI Sprint", "url": "https://ar-tik.com/en/courses/ai-business-case-roi.html" }, { "id": "ai-operations", "title": "AI Operations", "url": "https://ar-tik.com/en/courses/ai-operations.html" } ], "applicableSectors": [ "retail and e-commerce", "manufacturing", "logistics and supply chain" ], "searchIntents": [ "AI for forecast demand and workload", "AI applications for operations", "how to use AI in companies for forecast demand and workload" ], "needSignals": [ "historical data available but not turned into signals", "planning that is still highly manual" ], "operationalExample": "When a process shows a similar need, transactions and purchases are used to produce verifiable forecast and support faster decisions, with human review recommended.", "privacyNotes": "Use authorised data, minimise personal information and keep human review on relevant outputs.", "humanReview": "recommended", "humanReviewCode": "recommended", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "forecast", "domanda", "capacita" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#demand-workload-forecast", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Forecast demand and workload", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Forecast demand and workload", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "project-requirements-memory", "locale": "en", "language": "en", "area": "operations", "areaLabel": "Operations", "title": "Keep requirements, decisions and stakeholders alive", "description": "Project meetings and documents feed an evolving dossier with requirements, latent conflicts, decisions and issues.", "input": [ "transcripts and notes", "requirements and specifications", "internal documentation" ], "output": [ "roadmap and priorities", "risk map" ], "businessValue": [ "traceability", "fewer errors", "transferable knowledge" ], "relatedServiceIds": [ "ai-management-consulting", "technical-software-development" ], "relatedServices": [ { "id": "ai-management-consulting", "title": "AI management consulting", "url": "https://ar-tik.com/en/ai-management-consulting.html" }, { "id": "technical-software-development", "title": "Technical AI software", "url": "https://ar-tik.com/en/technical-software-development.html" } ], "relatedCourseIds": [ "workflow-redesign", "ai-software-engineering" ], "relatedCourses": [ { "id": "workflow-redesign", "title": "AI Workflow Redesign Lab", "url": "https://ar-tik.com/en/courses/workflow-redesign.html" }, { "id": "ai-software-engineering", "title": "AI Software Engineering", "url": "https://ar-tik.com/en/courses/ai-software-engineering.html" } ], "applicableSectors": [ "technical offices and engineering", "professional services", "manufacturing" ], "searchIntents": [ "AI for keep requirements, decisions and stakeholders alive", "AI applications for operations", "how to use AI in companies for keep requirements, decisions and stakeholders alive" ], "needSignals": [ "recurring decisions that are slow or based on incomplete information", "critical knowledge concentrated in a few people" ], "operationalExample": "When a process shows a similar need, transcripts and notes are used to produce roadmap and priorities and support traceability, with human review required.", "privacyNotes": "Use authorised data, minimise personal information and keep human review on relevant outputs.", "humanReview": "required", "humanReviewCode": "required", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "requisiti", "progetto", "decisioni" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#project-requirements-memory", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Keep requirements, decisions and stakeholders alive", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Keep requirements, decisions and stakeholders alive", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "customer-feedback-intelligence", "locale": "en", "language": "en", "area": "customer", "areaLabel": "Customer, marketing and sales", "title": "Read customer feedback, reviews and tickets", "description": "Unstructured texts are aggregated by theme, sentiment, recurring needs and priority actions.", "input": [ "text feedback", "tickets and requests", "public sources" ], "output": [ "operational report", "priority ranking" ], "businessValue": [ "more consistent service", "recovered commercial value", "clearer priorities" ], "relatedServiceIds": [ "agentic-data-analysis" ], "relatedServices": [ { "id": "agentic-data-analysis", "title": "Agentic data analysis", "url": "https://ar-tik.com/en/agentic-data-analysis.html" } ], "relatedCourseIds": [ "ai-customer-service", "ai-marketing" ], "relatedCourses": [ { "id": "ai-customer-service", "title": "AI for customer service and ticket triage", "url": "https://ar-tik.com/en/courses/ai-customer-service.html" }, { "id": "ai-marketing", "title": "AI course: AI-driven marketing and communication", "url": "https://ar-tik.com/en/courses/ai-marketing.html" } ], "applicableSectors": [ "retail and e-commerce", "cross-company functions", "professional services" ], "searchIntents": [ "AI for read customer feedback, reviews and tickets", "AI applications for customer, marketing and sales", "how to use AI in companies for read customer feedback, reviews and tickets" ], "needSignals": [ "abundant feedback that is not analysed", "recurring decisions that are slow or based on incomplete information" ], "operationalExample": "When a process shows a similar need, text feedback are used to produce operational report and support more consistent service, with human review recommended.", "privacyNotes": "Use authorised data, minimise personal information and keep human review on relevant outputs.", "humanReview": "recommended", "humanReviewCode": "recommended", "riskLevel": "medium", "riskLevelCode": "medium", "tags": [ "feedback", "sentiment", "cliente" ], "urls": { "html": "https://ar-tik.com/en/ai-applications-atlas.html#customer-feedback-intelligence", "markdown": "https://ar-tik.com/en/ai-applications-atlas.md#Read customer feedback, reviews and tickets", "dossier": "https://ar-tik.com/en/ai-applications-atlas-dossier.md#Read customer feedback, reviews and tickets", "json": "https://ar-tik.com/data/ai-applications.en.json" } }, { "id": "market-customer-discovery", "locale": "en", "language": "en", "area": "customer", "areaLabel": "Customer, marketing and sales", "title": "Discover market and target needs", "description": "Public sources and provided material are synthesised into maps of pain points, 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