Top 9 UiPath Process Intelligence Alternatives in 2026 

UiPath built its reputation as a market-leading RPA platform and expanded into process intelligence through its 2021 acquisition of ProcessGold, creating an integrated discovery-to-deployment process automation pipeline. 

UiPath has strong ratings with an average of 4.6 out of 5 stars based on over 1,400 reviews on G2. However, enterprises deploying Agentic AI, managing complex multi-vendor environments, or requiring vendor-neutral process intelligence often find themselves evaluating alternatives that offer broader visibility beyond task-level bot recordings. 

There are several UiPath alternatives out there to choose from, including: 

• KYP.ai 

• Celonis 

• Microsoft Process Mining 

• SAP Signavio 

• IBM Process Mining 

• Automation Anywhere 

• Abbyy Timeline 

• ServiceNow Process Mining 

• Appian 

To compile this list, we analyzed process intelligence platforms serving enterprise customers, focusing on solutions that provide comprehensive operational visibility, ROI-driven prioritization, and support for modern automation approaches including Agentic AI. Combining market research with vendor capabilities, we selected nine top UiPath alternatives. 

1. Best overall UiPath alternative: KYP.ai 

KYP.ai is pioneering Agentic Process Intelligence, the only platform purpose-built to enable enterprises to harness the full potential of Agentic AI for process automation and transformation. Unlike automation-centric platforms that optimize for RPA bot development, KYP.ai provides the three essential ingredients for Agentic AI success: rich, company-specific structured business context; ROI-driven prioritization of automation opportunities; and production-ready AI agent code that works across Windows, MacOS, legacy systems, and enterprise applications. 

Key KYP.ai process intelligence features 

The platform is built on three core pillars: 

• 360° View on the Organization: Captures and correlates data across people, processes, and technology to provide a unified, fact-based view of how work actually gets done. This includes end-to-end task-level process execution, workforce behavior, and system usage—not just activities that feed into bot development but comprehensive operational intelligence across all work patterns. 
• Business Transformation Engine: Converts raw data into actionable intelligence by quantifying inefficiencies and calculating automation ROI. It prioritizes high-impact automation opportunities aligned with business goals, distinguishing between what CAN be automated and what SHOULD be automated based on actual business value rather than technical automation feasibility alone. 
• Agentic AI Enabler: Generates structured business context, action details, and ready-to-execute AI agent code, supplying autonomous AI agents with the instructions and environment they need to reliably execute complex workflows at scale. Unlike RPA-focused platforms, KYP.ai enables automation across Windows, MacOS, legacy systems, and enterprise applications with vendor-neutral outputs. 

Why businesses choose KYP.ai vs. UiPath 

Organizations move from UiPath to KYP.ai when they need process intelligence that serves broader business transformation rather than feeding a single automation stack: 

• Vendor-neutral Agentic AI enablement. KYP.ai generates production-ready agent code that works with any Agentic AI platform, (not just proprietary bots.) This flexibility enables organizations to choose best-fit automation technologies for each use case rather than being locked into a single vendor’s approach. 

• ROI-centric prioritization. While UiPath excels at showing what can be automated technically, KYP.ai uniquely pairs diagnostics with ROI modeling to distinguish what SHOULD be automated based on business impact. This prevents organizations from automating low-value processes simply because they’re technically feasible. 

• Comprehensive visibility beyond task capture. KYP.ai’s 360° View captures people, process, and technology data continuously, providing insights into capacity utilization, workforce behavior, and operational performance—not just task recordings for bot development. 

• Platform-agnostic intelligence. KYP.ai provides insights and outputs that inform decisions across RPA, low-code, Agentic AI, and other automation approaches, rather than optimizing specifically for one vendor’s technology stack. 

• Real-time operational intelligence. Delivers real-time visibility into operational performance and capacity utilization, enabling proactive management rather than retrospective analysis of completed automation projects. 

KYP.ai process intelligence pricing 

KYP.ai offers custom pricing based on deployment size and requirements, with many customers achieving +5x ROI within 6 months. Calculate your ROI estimate or contact their sales team for a quote tailored to your organization’s needs. 

2. Celonis 

Celonis pioneered commercial process mining and has grown into the category leader with the largest customer base, most extensive partner network, and most comprehensive platform capabilities in traditional process mining. For organizations seeking a UiPath alternative focused on system-level process intelligence rather than task-level automation discovery, Celonis provides a robust platform built on analyzing event logs from ERP, CRM, and transactional systems. 

Celonis delivers an extensive process intelligence platform with object-centric process mining (OCPM) and a broad partner ecosystem, offering comprehensive process discovery and optimization at enterprise scale. The platform’s Celocore engine provides the foundation for OCPM-compliant analysis, enabling organizations to understand complex processes involving multiple interacting business objects rather than just linear case flows.  

Key Celonis features 

• Extensive capabilities to extract event log data from different ERP systems 

• OCPM-compliant platform for complex process analysis 

• Large partner and integration ecosystem 

• Advanced process analytics and KPI frameworks 

• Extensive training and certification programs 

Why people choose Celonis over UiPath 

Organizations choose Celonis when they need comprehensive system-level process mining rather than task-level automation discovery. The platform excels at analyzing processes that span multiple enterprise systems, providing visibility into end-to-end business processes through system logs. Companies seeking vendor-neutral process intelligence that isn’t optimized for a specific automation technology find Celonis valuable for its platform-agnostic approach. The extensive partner ecosystem and proven track record across thousands of implementations make Celonis particularly appealing to large enterprises requiring comprehensive support and established best practices. 

Celonis pricing 

Celonis pricing is custom based on implementation scope and coverage. Contact Celonis for enterprise pricing details. 

3. Microsoft Process Mining (Power Automate) 

In 2022 Microsoft acquired Minit to integrate process mining into its Power Platform, making process intelligence capabilities accessible to its vast installed base of Power Automate, Power BI, and Microsoft 365 users. This democratization of process mining represents a strategic UiPath alternative for organizations deeply invested in the Microsoft ecosystem who want process intelligence integrated with their existing technology investments rather than a separate automation vendor’s stack. 

The platform’s deep integration with the Microsoft ecosystem creates unique advantages for organizations already standardized on Azure, Power Platform, and Office 365. GPT-4o Mini integration brings conversational AI capabilities directly into the process mining experience, enabling business users to query process data using natural language without specialized training. The unified low-code platform combines process mining with RPA and intelligent document processing, allowing organizations to progress from discovery to automation within a consistent Microsoft environment.  

Key Microsoft process mining features 

• Deep Microsoft ecosystem integration with Azure and Power Platform 

• GPT-4o Mini integration for conversational AI capabilities 

• Unified low-code platform with RPA and intelligent document processing 

• Native Microsoft 365 integration 

• Low-code automation development environment 

Why businesses choose Microsoft over UiPath 

Microsoft-centric organizations choose Microsoft Process Mining when they want process intelligence that integrates seamlessly with their existing technology investments rather than introducing another vendor’s ecosystem. The platform’s low-code approach and familiar Microsoft interface enables business users to engage with process intelligence without extensive technical training, broadening organizational participation in process improvement initiatives. Organizations seeking to minimize vendor proliferation and leverage existing Microsoft infrastructure find particular value in the platform’s native integration with Azure, Power Platform, and Microsoft 365 collaboration capabilities. 

Microsoft process mining pricing 

Microsoft Process Mining is included with Power Automate Premium licenses. Contact Microsoft for enterprise licensing details. 

4. SAP Signavio 

SAP acquired Signavio in 2021, integrating process mining and business process management capabilities into the SAP Business Technology Platform. Post-acquisition, SAP has invested heavily in connecting Signavio to the broader SAP ecosystem while maintaining its cloud-native, multi-tenant architecture. For SAP-centric organizations seeking a UiPath alternative that leverages existing SAP investments and provides native connectivity to SAP systems, Signavio offers a compelling platform-specific solution. 

Signavio’s cloud-native process transformation suite emphasizes enterprise observability and digital twin of organization (DTO) capabilities with AI-assisted insights specifically optimized for SAP environments. The platform provides industry-specific benchmarks across multiple sectors, enabling organizations to compare their processes against industry standards and best practices.  

Key SAP Signavio features 

• Deep SAP ecosystem integration with plug-and-play connectivity 

• Industry-specific benchmarks across multiple sectors 

• AI-assisted conformance and modeling with generative AI 

• Cloud-native process transformation suite 

• Digital twin of organization (DTO) capabilities 

Why people choose SAP Signavio over UiPath 

SAP customers seeking process mining tightly integrated with their existing SAP landscape choose Signavio for its minimal implementation friction and native connectivity to SAP systems. Organizations wanting to consolidate their process transformation toolkit within the SAP ecosystem rather than introducing separate automation vendors find particular value in Signavio’s comprehensive suite. The platform’s industry-specific benchmarks and AI-assisted capabilities help accelerate process improvement initiatives while maintaining alignment with SAP’s technology roadmap and support structure. 

SAP Signavio pricing 

SAP Signavio pricing is available through SAP’s sales organization with custom enterprise agreements. 

5. IBM Process Mining 

IBM entered process mining through its 2021 acquisition of myInvenio, integrating the technology into its Cloud Pak for Business Automation suite. This strategic integration positions process mining as a key component of IBM’s broader intelligent automation and AI strategy, with deep connections to watsonx and the IBM automation portfolio. For organizations seeking a UiPath alternative with full OCPM compliance, prescriptive AI capabilities, and hybrid cloud flexibility, IBM provides a robust enterprise platform particularly suited for complex, regulated environments. 

The platform delivers hybrid cloud deployment flexibility via Red Hat OpenShift, enabling organizations to meet stringent data residency and security requirements while maintaining process intelligence capabilities. IBM Process Mining distinguishes itself through industry-specific knowledge and solutions built from decades of enterprise consulting experience across sectors like banking, insurance, healthcare, and manufacturing.  

Key IBM process mining features 

• Full OCPM (Object-Centric Process Mining) compliance with prescriptive analytics 

• Industry-specific knowledge and solutions 

• Data-driven simulation capabilities 

• Governance and compliance features 

• Integration with IBM automation portfolio and watsonx 

• Hybrid cloud deployment via Red Hat OpenShift 

Why people choose IBM over UiPath 

Large enterprises in regulated industries choose IBM Process Mining for its hybrid cloud flexibility and full OCPM compliance that provides sophisticated process analysis beyond basic automation discovery. Organizations already invested in the IBM ecosystem benefit from native integration with IBM’s automation portfolio and watsonx AI capabilities, creating a cohesive enterprise platform without introducing competing vendor stacks. The platform’s prescriptive analytics and industry-specific solutions make it particularly valuable for enterprises requiring strategic process transformation guidance rather than tactical bot identification. 

IBM process mining pricing 

IBM Process Mining pricing is custom and typically bundled with broader IBM Cloud Pak for Business Automation deployments. 

6. Automation Anywhere 

Automation Anywhere is a software company known for its Automation Success Platform with built-in capabilities for process discovery, RPA, intelligent document processing, and analytics. As a leading RPA platform that directly competes with UiPath in the automation market, Automation Anywhere offers a complete alternative ecosystem for organizations seeking to consolidate discovery and automation capabilities with a different vendor. 

The platform supports both DOM/COM-based and image-based recording, capturing user actions across enterprise applications, legacy systems, mainframes, and even Citrix environments. Automation Anywhere’s process discovery capabilities automatically assess rework percentages, identify process loops, and discover process hierarchies across different business units using AI and ML algorithms.  

Key Automation Anywhere features 

• Link to RPA and automation platform 

• Process modeling capabilities 

• Workforce and application use analytics 

• DOM/COM-based and image-based recording 

• Process hierarchy discovery across business units 

Why people choose Automation Anywhere over UiPath 

Organizations choose Automation Anywhere when they want an alternative RPA ecosystem with integrated process discovery capabilities. The platform provides comparable automation functionality to UiPath with its own discovery-to-deployment pipeline, making it a natural alternative for organizations seeking to diversify their automation vendor strategy or negotiating favorable pricing. The platform’s ability to capture activities across diverse environments, including mainframes, legacy applications, and virtual desktop infrastructure, makes it valuable for enterprises with complex, heterogeneous technology estates seeking vendor alternatives with similar capabilities. 

Automation Anywhere pricing 

Automation Anywhere pricing is custom. Contact their sales team for enterprise pricing details. 

7. Abbyy Timeline 

ABBYY Timeline is a process intelligence platform combining task and process mining functionality developed by ABBYY, the global leader in OCR and document processing technology. This heritage in intelligent document processing gives ABBYY Timeline a unique advantage as a UiPath alternative for organizations where document-centric processes play a central role and require specialized intelligence capabilities beyond standard task capture. 

ABBYY Timeline leverages both DOM/COM-based and image-based recording via browser plugins across multiple desktops, enabling comprehensive capture of user activities even in complex visual environments. The platform’s semantic clustering capabilities allow organizations to capture and analyze relevant contextual information from documents and emails alongside user activity data, providing deeper insights into document-driven processes.  

Key Abbyy Timeline features 

• Root cause analysis capabilities 
• Security and compliance monitoring 
• Process deviation measurement 
• Document and email context capture 
• Pattern-matching algorithms for image analysis 

Why businesses choose Abbyy over UiPath 

Large enterprises choose ABBYY Timeline for its unique ability to combine process mining with intelligent document processing capabilities that go beyond standard task recording. Organizations operating document-heavy workflows – such as claims processing, loan origination, or patient intake – benefit from the platform’s semantic understanding of document content alongside process flow analysis. The platform’s root cause analysis and compliance monitoring capabilities make it particularly valuable for regulated industries requiring continuous process conformance verification and audit trail documentation beyond what task mining alone can provide. 

Abbyy Timeline pricing 

ABBYY Timeline offers custom pricing. Contact ABBYY for enterprise quotes based on your deployment requirements. 

8. ServiceNow Process Mining 

ServiceNow integrated process mining capabilities directly into its platform to provide visibility into IT service management (ITSM) workflows and enterprise service operations. This native integration positions process mining as a natural extension of the ServiceNow platform, enabling organizations already using ServiceNow for service management to gain deeper insights into how their IT processes actually execute. For ServiceNow customers seeking a UiPath alternative that requires no additional platform implementation and focuses specifically on ITSM optimization, ServiceNow Process Mining offers immediate value with minimal setup complexity. 

The platform emphasizes accessibility and speed to insights through guided setup that helps organizations quickly identify process bottlenecks and optimization opportunities within their ITSM workflows. Real-time KPI monitoring enables proactive SLA compliance management, alerting teams to potential violations before they occur. The integration of predictive analytics and GenAI summarization capabilities helps IT operations teams understand not just what’s happening in their processes, but what’s likely to happen next and why.  

Key ServiceNow features 

• Native ServiceNow platform integration 

• Guided setup for quick insights 

• Real-time KPI monitoring for SLA compliance 

• Predictive analytics capabilities 

• GenAI summarization for ITSM workflows 

Why people choose ServiceNow over UiPath 

ServiceNow customers choose ServiceNow Process Mining when they want process intelligence specifically optimized for ITSM workflows without introducing a separate automation vendor’s platform. IT operations teams benefit from real-time visibility into service management processes with KPI monitoring that connects directly to operational dashboards within the ServiceNow environment they already use daily. Organizations seeking to optimize ITSM workflows – including incident, problem, change, and request management – find particular value in the platform’s guided approach and native integration that eliminates complex data extraction requirements. 

ServiceNow process mining pricing 

ServiceNow Process Mining pricing is based on ServiceNow’s subscription model. Contact ServiceNow for custom enterprise pricing. 

9. Appian 

Appian targets complex process automation and orchestration with a unified no-code/low-code approach, positioning process intelligence as an integral component of a broader platform that includes workflow automation, case management, and digital process automation. For organizations seeking a UiPath alternative that combines process discovery with immediate low-code automation capabilities within a single development environment, Appian offers an integrated platform where insights can be rapidly translated into workflow improvements and automated processes. 

The platform’s low-code approach enables business and IT teams to collaborate on process optimization without extensive coding, accelerating the journey from process discovery to automation deployment. Appian’s process orchestration capabilities allow organizations to coordinate complex workflows across multiple systems and stakeholders, while cloud hosting ensures accessibility and scalability.  

Key Appian features 

• Low-code process mining integrated with workflow automation 

• Process orchestration capabilities 

• Cloud hosting of process insights 

• Integration with Appian’s broader automation suite 

Why people choose Appian over UiPath 

Organizations building custom applications and complex workflows choose Appian when they prefer low-code workflow development over RPA-centric automation. The platform’s unified approach eliminates the gap between process discovery and workflow automation implementation, making it particularly valuable for organizations that need to quickly translate insights into operational changes through application development rather than bot deployment. Companies in financial services, government, and healthcare that require both process intelligence and the ability to build custom applications on a unified platform find Appian’s integrated approach accelerates their digital transformation initiatives. 

Appian pricing 

Appian pricing is custom based on users and capabilities. Contact Appian for enterprise pricing details. 

UiPath alternatives that go beyond RPA 

UiPath was built to optimize its own RPA platform, with process and task mining serving primarily to feed automation opportunities into UiPath’s bot development ecosystem. If you’re seeking vendor-neutral process intelligence that informs broader transformation strategies, you may need capabilities specifically designed for: 

• Platform-agnostic automation strategy: Organizations need to evaluate automation opportunities across RPA, low-code, Agentic AI, and other approaches without bias toward a single vendor’s technology stack. 

• Comprehensive operational intelligence: Beyond identifying bot-suitable tasks, modern enterprises require visibility into capacity utilization, workforce behavior, and operational performance to drive holistic business transformation. 

• ROI-driven prioritization: Rather than automating everything technically feasible, organizations need to distinguish between what CAN be automated and what SHOULD be automated based on clear business value and return on investment. 

• Agentic AI enablement: As organizations deploy autonomous AI agents, they need process intelligence that generates production-ready agent code and structured business context—not just task recordings optimized for traditional RPA. 

KYP.ai was specifically built to address these needs, providing vendor-neutral process intelligence that serves strategic business transformation rather than tactical bot optimization. 

How to choose beyond task-level automation discovery 

All of the UiPath alternatives listed here could be a better fit for your organization. Here are some key considerations to help guide your decision: 

• Strategic vs. tactical focus: Determine whether you need process intelligence primarily to feed a specific automation technology (RPA, low-code, etc.) or to inform broader operational transformation across multiple automation approaches and business improvement initiatives. 

• Vendor neutrality: Evaluate whether the platform provides objective insights and vendor-agnostic outputs, or whether it’s optimized to promote a specific vendor’s automation technology. Platform-agnostic intelligence enables you to choose best-fit solutions for each use case. 

• Scope of visibility: Consider whether you need comprehensive operational intelligence including capacity utilization and workforce behavior, or whether task-level capture for automation discovery meets your requirements. 

• ROI modeling capabilities: Verify whether the platform helps prioritize automation opportunities based on business value and return on investment, not just technical automation feasibility. 

• Agentic AI readiness: Assess the platform’s ability to generate production-ready agent code and structured business context for autonomous AI agents, which represents the next evolution beyond traditional RPA. 

• Ecosystem integration: Determine whether you prefer deep integration with your existing technology stack (Microsoft, SAP, IBM, ServiceNow) or a vendor-neutral platform that works across diverse environments. 

• Deployment speed and complexity: Consider implementation timelines and technical requirements. Some platforms deliver insights within days while others may require months of data preparation and integration work. 

Your best-fit UiPath process intelligence alternative 

KYP.ai offers the most comprehensive alternative to UiPath for enterprises seeking to move beyond task-level automation discovery to strategic process intelligence. If your organization needs vendor-neutral insights that inform decisions across RPA, low-code, Agentic AI, and other automation approaches consider KYP.ai. 

The platform delivers what automation-centric task mining cannot: comprehensive visibility into people, processes, and technology; ROI-driven prioritization that distinguishes between technical feasibility and business value; and production-ready AI agent code that works across any Agentic AI platform. This enables organizations to pursue strategic transformation with measurable business outcomes rather than tactical automation projects. 

Ready to see how KYP.ai can enable your enterprise to deploy Agentic AI at scale with vendor-neutral process intelligence? Contact our team to schedule a demonstration and discover what comprehensive process intelligence can deliver beyond task-level bot recordings.