Certification Programs
for Partners & IT Professionals

Designed for IT teams, system administrators, and partners, these certification tracks ensure organizations can configure, manage, and scale Coopera autonomously. Certifications validate technical expertise in Coopera’s process automation, AI orchestration, and system integrations.

How does it differ from
traditional platforms?

While traditional platforms like BPM, BPA, RPA, and Content Management focus on specific areas such as process automation or document management, a BOAT Platform is cross-functional and allows businesses to unify all operational needs without creating technological silos.

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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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