Business automation platform, Integration of RPA, NLP, AI, Web App integrated into one platform
Model-based or generative AI
Autonomous, plans and executes tasks independently
Developers, automation teams
Data scientists, AI specialists
Advanced developers, AI teams
Rapid application and workflow development
Automating complex business processes and repetitive processes
Data interpretation, classification, content generation
Independent execution of entire work chains
Microsoft ecosystem, over 1,000 connectors
UiPath Connectors, ERP, UI, API-level integrations
API-based or LLM/ML model
Multiple systems simultaneously, often interface-free
Drag & drop, Power Apps, Power Pages
UiPath Apps, Studio Web, UI robots
Often an interface, form, or chatbot
Chat or CLI-based, possibly fully hidden
Microsoft Azure cloud service
Cloud (Automation Cloud), On-prem (Automation Suite)
SaaS, API, or hybrid models
Cloud or hybrid implementations, continuously learning
Suitable for SMEs and subprocesses
Enterprise-level automation
Scales according to data and models
Scales according to processes and decision chains
Suitable for simple use cases
Covers multi-stage processes
Good for ambiguous, unclear information
Suitable for multi-system, dynamic situations
Depends on the complexity of the process
AI model training can take time
Slower at first, but independent operation speeds up over time
Light – integrated into M365 maintenance
Requires orchestration and monitoring
Requires continuous model maintenance
Needs monitoring, but learns continuously
Included in Microsoft 365 packages
Often API or capacity-based
Typically a tailored licensing model
Requires RPA understanding, Studio / Apps skills
Varies – some tools are easy, some demanding
Requires AI logic, integrations, continuous configuration
Data collection, forms, approvals
ERP integrations, invoice handling, data retrieval
Processing documents, emails, feedback or chatbots
Service processes, self-directed analysis and workflow
