Specific technical details like notation and standards.
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.xlsx, .json, .bpmn, .xml, .archimate, .vsdx
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BPMN 2.0 process model defining the target state for IT incident management. It uses AI agents for initial triage, automatic classification, and resolution of common incidents, significantly reducing mean time to resolve (MTTR).
BPMN 2.0 process model defining the target state for a high-performance slicing and complete line integration process using AI. Focus is on efficiency improvement and automatic error correction.
BPMN 2.0 process model for the target state of loan application processing. The model integrates an AI Eligibility & Risk Gate to automate screening and parallelize validation, reducing the approval time from 12 days to 4 days (65% faster).
BPMN 2.0 process model for integrating data analysis results into an organizational knowledge management system using AI, focusing on the current state.
Modelo de proceso de negocio (BPMN 2.0) para la gestión de solicitudes de servicio al cliente optimizado por Agentes de IA/RAG. Aumenta el FCR (First Call Resolution) en L1 y delega solo casos complejos al Agente Humano L2.
Modelo de proceso de negocio (BPMN 2.0) para la Priorización Predictiva de Clientes Potenciales con IA. Mejora el enfoque de los representantes de ventas y logra un aumento del 20% en la tasa de conversión.
Modelo de proceso de negocio (BPMN 2.0) que utiliza agentes de IA para analizar modelos BIM y documentos de planificación contra códigos de construcción, logrando un 95% de verificación automatizada de cumplimiento.
Modèle de processus de prêt (BPMN 2.0) intégrant un Portail IA d'Éligibilité et de Risque pour automatiser le filtrage et la validation parallèle, réduisant le temps d'approbation de 12 à 4 jours (65% plus rapide).
Modèle de processus de service client (BPMN 2.0) utilisant l'IA Générative pour automatiser le support de Niveau 1, réduisant le Temps Moyen de Traitement (TMO) de 65% et augmentant le Taux de Résolution au Premier Contact (RPC).
Modèle de processus de soins de santé (BPMN 2.0) optimisant le processus de sortie des patients. Réduit le temps d'attente moyen de 4,8 heures à 2,3 heures (52% plus rapide) en coordonnant les tâches de manière parallèle via l'IA.
BPMN 2.0-Prozessmodell zur Optimierung zentraler FP&A-Aktivitäten. Automatisiert die Rechnungserkennung (OCR) und -abstimmung (ML), was zu null Eingabefehlern und einer 22% höheren Prognosegenauigkeit führt.
BPMN 2.0-Prozessmodell für die Lebensmittelproduktion, das KI-Agenten (Digitale Zwillinge) einsetzt, um Echtzeit-Schneidedaten zu analysieren und Schneidemaschinen dynamisch anzupassen. Reduziert Produktverluste (Giveaway) von 3-5 % auf unter 0,5 %.
BPMN 2.0-Prozessmodell zur Optimierung des Finanzabschlusszyklus. Verkürzt die Abschlusszeit von 15 auf 9 Tage (40 % Reduzierung) durch die Implementierung von KI-gesteuerten, kontinuierlichen Abstimmungsagenten.
UML Component Diagram, generated by Dragon1 AI, for modeling the architecture of automated compliance checking. Defines 10 decoupled components to significantly reduce maintenance overhead and technical debt.
AI UML Component Diagramm, generiert von Dragon1 KI, zur Modellierung der Architektur für die automatisierte Compliance-Prüfung. Definiert 10 entkoppelte Komponenten, um Wartungsaufwand zu reduzieren.
Diagramme de Composants AI UML, généré par Dragon1 IA, pour modéliser l'architecture de la vérification automatisée de conformité. Définit 10 composants découplés pour réduire significativement les coûts de maintenance et la dette technique.
Diagrama de Componentes UML, generado por Dragon1 IA, para modelar la arquitectura de la verificación automatizada de cumplimiento. Define 10 componentes desacoplados para reducir significativamente los costos de mantenimiento y la deuda técnica.
UML Activity Diagram modeling the dynamic flow of talent acquisition. Features AI-driven CV parsing, automated ranking, and parallel background checks to eliminate hiring bottlenecks.
UML Class Diagram generated by Dragon1 AI to structure an automated loan approval system. Defines classes for risk engines, parallel validation services, and real-time credit scoring logic.
UML Composite Structure Diagram modeling the internal decomposition of a service desk. It defines how AI triage units, human agent interfaces, and knowledge connectors interact via secure ports.
UML Deployment Diagram generated by Dragon1 AI to model cloud-native infrastructure. Defines the distribution of AI Inference Nodes, Vector Databases, and ITSM Integration Gateways for automated incident remediation.
UML Object Diagram generated by Dragon1 AI to model the live state of a discharge ecosystem. It captures real-time interactions between Patient instances, AI Discharge Agents, and Hospital Resource objects.
UML Package Diagram generated by Dragon1 AI to structure the NPI process. It isolates AI research models from production manufacturing services, preventing dependency cycles and namespace collisions.
UML Profile Diagram generated by Dragon1 AI to standardize procurement metadata. It extends standard UML elements with custom stereotypes for automated risk vetting, ESG compliance, and AI-driven verification.
UML State Machine Diagram generated by Dragon1 AI to model threat detection and mitigation. It defines deterministic transitions from initial alert to automated containment and remediation.
UML Use Case Diagram generated by Dragon1 AI to map the functional requirements of the O2C cycle. It identifies how AI actors automate order validation, inventory allocation, and invoicing to remove manual touchpoints.
