Bizagi and UiPath Process Mining compete in process management and automation. Bizagi has the upper hand in user satisfaction and affordability, while UiPath Process Mining is favored for its extensive features and analytical capabilities.
Features: Bizagi supports BPMN standards and offers a free modeler. Its flexibility and agility enable rapid automation without much technical assistance. UiPath Process Mining excels in process analytics, providing deep insights and integration opportunities for diverse business environments.
Room for Improvement: Bizagi could improve its document management and handling of complex deployments. Users report issues with version migration and stability. UiPath Process Mining could enhance its data integration and make its user interface more intuitive. Additionally, the high cost is a common concern.
Ease of Deployment and Customer Service: Bizagi provides versatile deployment options with on-premises and public cloud solutions, though customer service receives mixed reviews. UiPath Process Mining offers diverse deployment models, including hybrid and cloud, backed by strong and responsive customer support.
Pricing and ROI: Bizagi presents substantial value with a free modeler and competitive pricing, ideal for smaller businesses. Despite recent price increases, it delivers good ROI. UiPath Process Mining, priced higher, justifies its cost with comprehensive features and efficiencies, yet clearer pricing structures are desired by users.
The toolset is very intuitive, so we didn’t need to contact their support much.
We cannot expect major customer support.
UiPath provides exceptional customer service and support, primarily due to its active community forum, community.uipath.com, which offers 24/7 support from developers and community members.
From a technical support standpoint, the SMEs are not confident enough in deciding what should be done.
They prioritize support based on the number of licenses purchased by an organization
There is no direct scalability option.
If I rate scalability from one to ten, I would probably give it a six.
There's significant room for enhancing process integration, data accuracy, and the general applicability of process mining.
UiPath as a whole is scalable and works well for large-scale organizations.
We find UiPath Process Mining to be generally stable, particularly with the current build.
The decision map could be improved to allow more than three options at a decision point.
For more mature environments, the integration to live systems is lacking, which affects its applicability.
Reporting capabilities can be improved more, and community support should be increased.
UiPath Process Mining is associated with a high cost and a difficult learning curve for those unfamiliar with process mining tools.
It should focus on identifying opportunities for automation and resource allocation efficiently.
Adoption is the key.
Bizagi's pricing is very aggressive, and it was one of the reasons we chose it.
Compared to other solutions such as Power Automate, UiPath is significantly more expensive, with its pro plan starting at $420 per month.
UiPath Process Mining is better priced than Celonis, which we found to be on the costlier side.
It is a high price for a low rating.
It is open source.
The user interface is very good, making it easy for business people to understand.
Bizagi has rich functionalities; compared to other BPMN tools, it has more features.
These elements allowed us to effectively understand and improve client interactions and manage complex data, especially in the context of banking operations.
It is excellent in its ability to help us turn raw data into actionable information.
It provides root cause analysis, which identifies delays and deviations in processes, visualizes bottlenecks, and assesses their impact with insightful visualizations.
| Product | Mindshare (%) |
|---|---|
| UiPath Process Mining | 5.5% |
| Bizagi | 5.7% |
| Other | 88.8% |
| Company Size | Count |
|---|---|
| Small Business | 43 |
| Midsize Enterprise | 16 |
| Large Enterprise | 36 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 9 |
| Large Enterprise | 42 |
Bizagi is an enterprise platform for business orchestration and AI automation, enabling organizations to design, automate, and run complex end-to-end processes that bring together people, AI agents, systems, and data. Unlike point AI tools, Bizagi is the operational layer where AI, processes, and enterprise systems work together: governed, auditable, and production-ready.
Built on more than two decades of enterprise process expertise, Bizagi brings the depth of operational knowledge that newer AI platforms simply have not had time to develop. That foundation is what makes Bizagi's AI story credible where others are still experimental.
Bizagi's native AI capabilities are built directly into the platform. AI Agents are reusable, GenAI-powered assistants configured in the AI Hub, capable of content generation, document analysis, classification, summarization, and more. They can be invoked from processes, interfaces, or other agents, and integrate via connectors and Model Context Protocol to reach internal and external systems. AI Workers automate repetitive tasks inside forms and workflows by analyzing rules, field history, and process context, operating in supervised or more autonomous modes and improving through reinforcement learning. Ask Ada, Bizagi's conversational analytics assistant, lets users query business data in natural language and receive answers, charts, and insights, all within Bizagi's role and permission model and grounded in both process data and enterprise documents through a built-in RAG knowledge layer.
Governance is central, not optional. Bizagi runs on Microsoft Azure with Private OpenAI integration, keeping sensitive data within a secure perimeter. AI features require deliberate configuration and deployment. Generative AI capabilities are intentionally built into workflows rather than casually enabled, and Data Domains, Personas, and Bizagi's role model control precisely what any AI capability can access and how results can be used.
Customers see results fast. Stone Coast Fund Services reduced processing time by 80% across more than 25,000 annual service requests, going live in six weeks. Bizagi's AI Ignite packages take organizations from zero to live AI Agents or AI Assistants in approximately seven weeks, combining software and professional services to de-risk early projects.
With over 1,000 enterprise implementations across financial services, manufacturing, healthcare, and government, Bizagi is named in the 2025 Gartner Magic Quadrant for Business Orchestration and Automation Technologies (BOAT), Microsoft Certified for AI in Financial Services and Manufacturing, and a G2 leader across Agentic AI, AI Agents for Business Operations, BPM, and Digital Process Automation. Customers include DHL, Unilever, Caterpillar, and Old Mutual.
For more information, visit bizagi.com.
UiPath Process Mining provides advanced process visualization and AI-powered insights, helping organizations identify inefficiencies and streamline processes. It offers automated document understanding and comprehensive dashboards, optimizing workflows and enhancing productivity across departments.
UiPath Process Mining offers robust process analysis and automation insights, enabling companies to optimize business operations effectively. Its integration capabilities and detailed process mapping allow users to discover automation opportunities and improve task efficiency. While it provides significant efficiencies, enhancements in user-friendliness, integration with legacy systems, and additional AI capabilities could improve its competitiveness. Organizations use it to automate data entry, document processing, and system integration, enhancing productivity in finance, procurement, and HR, though a steep learning curve and pricing concerns are noted.
What are the key features of UiPath Process Mining?In specific industries like finance, procurement, and HR, UiPath Process Mining is utilized to automate repetitive tasks such as invoicing, reconciliation, and reporting, significantly reducing processing times and enhancing accuracy. Organizations leverage it for seamless data integration and informed decision-making, thereby discovering opportunities to streamline operations.
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