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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How does it differ form traditional Business Process Management
BOAT vs BPM -
How does it differ form Robotic Process Automation
BOAT vs RPA -
How does it differ form traditional Enterprise Content Management
BOAT vs ECM -
How does it differ form Case Management
BOAT vs Case Management
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
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
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
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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