UiPath, Power Platform, AI & Agentic automation: What are the differences?


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


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