per Partner e Professionisti IT

Pensati per i team IT, gli amministratori di sistema e i partner, questi percorsi di certificazione garantiscono alle organizzazioni la possibilità di configurare, gestire e scalare Coopera in modo autonomo. Le certificazioni convalidano le competenze tecniche nell'automazione dei processi, nell'orchestrazione dell'intelligenza artificiale e nelle integrazioni di sistema di Coopera.

In cosa si differenzia dalle piattaforme tradizionali di
?

Mentre le piattaforme tradizionali come BPM, BPA, RPA e Content Management si concentrano su aree specifiche come l'automazione dei processi o la gestione dei documenti, una piattaforma BOAT è trasversale e consente alle aziende di unificare tutte le esigenze operative senza creare silos tecnologici.

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  • BOAT

  • BPM

  • Objective

  • Unified orchestration of processes, data, automation, and AI

  • Modeling, execution, and monitoring of business processes

  • Scalability

  •  Scalable for any volume of data and processes, integrated with AI and advanced automation

  • Scalable but often depends on other tools for AI integration and automation

  • Automation

  •  Includes both workflow automation and RPA, AI, and content management

  • Focused only on workflow automation

  • Data Management

  • Native support for data-driven workflows, document management, AI, and advanced analytics

  • Requires other platforms to integrate documents and external data

  • Integration

  • Native connectivity with BPA, RPA, AI, and case management

  • Needs integration with other tools for advanced functionalities

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  • BOAT

  • RPA

  • Objective

  • Combines automation with orchestration, document management, and AI

  • Automates repetitive, rule-based tasks

  • Scalability

  • Scales across various business functions with AI-driven automation

  • Limited to task-level automation, requires additional systems

  • Process Interaction

  • Manages complex workflows beyond simple UI interactions

  • Interacts with existing systems via screen scraping

  • Data Utilization

  • Integrates structured and unstructured data for intelligent automation

  • Mostly relies on structured data from predefined UI interactions

  • Adaptability

  • Flexible across dynamic business processes and evolving workflows

  • Works best with static, rule-based tasks that do not change frequently

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  • BOAT

  • ECM

  • Objective

  • Integrates document management with AI, automation, and workflows

  • Focuses on document storage and retrieval

  • Process Management

  • AI-driven workflows for intelligent content handling

  • Mostly focused on document centric workflow with limited capabilities

  • Automation

  • Extracts metadata, recognizes documents, and automates workflows

  • Primarily used for storage, requiring external automation tools

  • AI Utilization

  • Uses AI for smart categorization and intelligent search

  • Limited AI capabilities, mostly search-based retrieval

  • Integration

  • Seamlessly integrates with BPM, RPA, BPA, and AI

  • Usually requires custom or predefined connectors

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  • BOAT

  • CM

  • Objective

  • Integrates case management, process automation, and AI

  • Manages case-specific workflows only

  • Flexibility

  • Supports adaptive, structured, and unstructured workflows

  • Primarily structured with predefined steps of the case

  • AI Automation

  •  Includes both workflow automation and RPA, AI, and content management

  • Focused only on workflow automation

  • Data Management

  • Uses AI for classification, analytics, and decision-making

  • Relies on manual decision-making

  • Integration

  • Seamlessly connects with BPM, RPA, AI, and ECM

  • Limited integration with external systems trough predefined connectors

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