Top 8 ARIS Software Alternatives for Process Intelligence in 2026 

ARIS has been a major player in business process management since the 1990s. It’s widely known for process modelling, enterprise architecture design, process mining and governance frameworks. ARIS maintains solid ratings with an average of 4.3 out of 5 stars based on over 150 reviews on Gartner Peer Insights.  

ARIS was acquired by Software AG in 2007 and divested in 2025. The evolving ownership structure of ARIS has led to some customers seeking more long-term solutions for process intelligence. 

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

• KYP.ai 

• Celonis 

• SAP Signavio 

• IBM Process Mining 

• Microsoft Process Mining 

• UiPath 

• Abbyy Timeline 

• ServiceNow Process Mining 

To compile this list, we analyzed process intelligence platforms serving enterprise customers, focusing on solutions that provide continuous, automated discovery capabilities, real-time operational intelligence, and support for modern automation approaches including Agentic AI. Combining market research with vendor capabilities, we selected eight top ARIS alternatives. 

1. Best overall ARIS 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 modeling-centric platforms that rely on manual process documentation and periodic updates, KYP.ai automatically captures how work actually happens across people, processes, and technology, providing 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. 

Key KYP.ai process intelligence features 

KYP.ai’s Productivity360 platform is built on three core pillars: 

• 360° View on the Organization: Automatically captures and correlates data across people, processes, and technology to provide a unified, fact-based view of how work actually gets done—not how it’s documented in process models. This includes end-to-end task-level process execution, workforce behavior, and system usage captured continuously without manual modeling efforts or periodic update cycles. 
• 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 observed work patterns rather than designed process flows. 
• 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. Works across Windows, MacOS, legacy systems, and enterprise applications with production-ready outputs—not process diagrams requiring interpretation and manual translation to automation. 

Why businesses choose KYP.ai vs. ARIS 

Organizations move from ARIS to KYP.ai when they need continuous process intelligence rather than periodic modeling updates: 

• Automatic continuous discovery. KYP.ai captures how work actually happens in real-time through automated data collection, eliminating the need for manual process documentation, workshops, and periodic model updates that quickly become outdated. 

• Real-time operational intelligence. Delivers live visibility into capacity utilization, workforce behavior, and operational performance—not retrospective process models that reflect design-time intentions rather than run-time reality. 

• Production-ready Agentic AI enablement. Generates executable AI agent code with structured business context, enabling immediate automation deployment. Unlike process models that require interpretation and manual translation, KYP.ai outputs are ready for Agentic AI platforms to execute. 

• ROI-driven prioritization. While ARIS helps document and design processes, KYP.ai uniquely pairs diagnostics with ROI modeling to quantify the business value of automation opportunities, enabling data-driven investment decisions rather than assumptions about process improvement potential. 

• Rapid time to value. Deployment in weeks with insights available within days, compared to traditional modeling approaches that require months of workshops, documentation, and stakeholder validation before delivering actionable intelligence. 

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 an ARIS alternative focused on data-driven process discovery rather than manual modeling, Celonis provides a robust platform built on analyzing event logs from ERP, CRM, and transactional systems to understand how processes actually execute. 

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 through automated discovery rather than manual documentation. For enterprises requiring deep system-level process analysis with extensive ERP integration capabilities, Celonis offers a mature platform with proven implementations across thousands of global organizations. The platform’s extensive connector library enables integration with virtually any enterprise system, while its process mining academy and certification programs ensure organizations can build internal expertise in data-driven process analysis. 

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 ARIS 

Organizations choose Celonis when they need automated process discovery based on actual system data rather than manual process modeling and documentation. The platform excels at analyzing processes through system logs, providing fact-based visibility into end-to-end business processes without requiring workshops, interviews, or manual process mapping efforts. Companies seeking to move from design-time process models to run-time process intelligence find Celonis valuable for its data-driven approach that continuously reflects how work actually happens. The extensive partner ecosystem and proven track record across thousands of implementations make Celonis particularly appealing to enterprises requiring comprehensive support and established best practices for process mining adoption. 

Celonis process intelligence pricing 

Celonis pricing is custom with multiple add-on SKUs. Contact Celonis for enterprise pricing details. 

3. 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 an ARIS alternative with modern cloud-native architecture and native SAP integration, Signavio offers a compelling platform that combines process intelligence with transformation capabilities. 

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 with data-driven insights rather than theoretical process models. For SAP customers seeking integrated process mining that leverages existing SAP data infrastructure with plug-and-play connectivity, Signavio offers a comprehensive alternative that combines automated process discovery with process modeling, workflow automation, and AI-assisted conformance checking—all within the cloud-native SAP ecosystem. 

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 ARIS 

SAP customers seeking a cloud-native alternative with tighter SAP integration choose Signavio for its minimal implementation friction and native connectivity to SAP systems. Organizations wanting to modernize from traditional on-premises BPM platforms to cloud-native process intelligence find Signavio’s architecture and deployment model more aligned with contemporary IT strategies. The platform’s industry-specific benchmarks and AI-assisted capabilities help accelerate process improvement initiatives while maintaining alignment with SAP’s technology roadmap, making it particularly attractive for SAP-centric enterprises seeking to consolidate their process transformation toolkit within a single ecosystem. 

SAP Signavio pricing 

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

4. 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 an ARIS alternative with full OCPM compliance, prescriptive AI capabilities, and hybrid cloud flexibility, IBM provides a robust enterprise platform particularly suited for complex, regulated environments requiring both modeling and mining capabilities. 

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 ARIS 

Large enterprises in regulated industries choose IBM Process Mining for its hybrid cloud flexibility and full OCPM compliance that provides sophisticated process analysis combining automated discovery with governance capabilities. 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. The platform’s prescriptive analytics and industry-specific solutions make it particularly valuable for enterprises requiring strategic process transformation guidance with both mining and modeling capabilities, supported by IBM’s extensive consulting expertise and proven track record in regulated industries. 

IBM process mining pricing 

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

5. 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 ARIS alternative for organizations seeking modern, accessible process intelligence within the Microsoft ecosystem they already use daily, rather than specialized BPM platforms requiring extensive training and dedicated resources. 

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 requiring specialized process modeling expertise.  

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 ARIS 

Microsoft-centric organizations choose Microsoft Process Mining when they want accessible, automated process discovery within their existing technology investments rather than specialized BPM platforms. The platform’s low-code approach and familiar Microsoft interface enables business users to engage with process intelligence without extensive training in process modeling methodologies, significantly 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—eliminating the need for specialized BPM tools and training programs. 

Microsoft process mining pricing 

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

6. UiPath (Process & Task Mining) 

UiPath entered process mining through its 2021 acquisition of ProcessGold, integrating process intelligence with its market-leading RPA platform. This strategic move positioned UiPath to offer a comprehensive automation-focused platform that combines process discovery, task mining, and communications mining with GenAI-powered assistance. For organizations seeking an ARIS alternative that directly connects automated process discovery with automation deployment, UiPath provides an integrated discovery-to-execution pipeline that eliminates the gap between process documentation and process improvement. 

The platform distinguishes itself as an ARIS alternative through its automation-centric approach and breadth of automated discovery capabilities. UiPath captures not only system-level process flows but also task-level desktop activities and communication patterns across emails and collaboration tools—all without manual documentation efforts.  

Key UiPath process intelligence features 

• Integrated task and communications mining capabilities 

• UiPath Autopilot GenAI assistant for automation recommendations 

• AI trust layer for responsible AI implementation 

• Integration with UiPath automation platform for closed-loop automation 

• ROI measurement and tracking capabilities 

• Governed discovery-to-deployment pipeline 

Why people choose UiPath over ARIS 

Organizations choose UiPath when they need automated discovery capabilities that feed directly into automation initiatives rather than manual process documentation for governance purposes. The platform provides comprehensive visibility across processes, tasks, and communications through automated capture, enabling enterprises to identify automation opportunities without workshops or modeling exercises. UiPath appeals particularly to organizations seeking to accelerate automation initiatives with data-driven discovery and those wanting to measure automation ROI through integrated tracking capabilities rather than theoretical process improvement estimates based on process models. 

UiPath process intelligence pricing 

UiPath pricing is custom based on deployment scope and capabilities. Contact UiPath 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 an ARIS alternative for organizations where document-centric processes play a central role and require automated discovery capabilities that understand document context beyond standard process flow documentation. 

ABBYY Timeline leverages both DOM/COM-based and image-based recording via browser plugins across multiple desktops, enabling comprehensive automated capture of user activities even in complex visual environments. The platform’s semantic clustering capabilities allow organizations to automatically capture and analyze relevant contextual information from documents and emails alongside user activity data, providing deeper insights into document-driven processes without manual process mapping. 

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 ARIS 

Large enterprises choose ABBYY Timeline for its unique ability to combine automated process mining with intelligent document processing capabilities that capture semantic document context beyond what manual process modeling can achieve. Organizations operating document-heavy workflows—such as claims processing, loan origination, or patient intake—benefit from the platform’s automated 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, automated process conformance verification rather than periodic manual audits and documentation updates. 

Abbyyy 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 automated insights into how their IT processes actually execute. For ServiceNow customers seeking an ARIS alternative that requires no additional platform implementation and provides continuous discovery rather than periodic modeling, 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 using automated discovery. Real-time KPI monitoring enables proactive SLA compliance management, alerting teams to potential violations before they occur based on actual process execution rather than designed workflows. 

Key ServiceNow process mining 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 ARIS 

ServiceNow customers choose ServiceNow Process Mining when they want automated, continuous process intelligence specifically optimized for ITSM workflows without introducing separate BPM platforms. IT operations teams benefit from real-time visibility into service management processes with automated discovery and 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 automated approach that eliminates manual process documentation and modeling efforts. 

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 an ARIS alternative that combines automated process discovery with immediate low-code automation capabilities within a single development environment, Appian offers an integrated platform where discovered 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 or formal process modeling training, accelerating the journey from automated 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 ARIS 

Organizations building custom applications and complex workflows choose Appian when they prefer automated discovery combined with low-code workflow development over manual process modeling and documentation. 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 discovered insights into operational changes through application development. Companies in financial services, government, and healthcare that require both automated 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. 

ARIS alternatives for continuous process intelligence 

ARIS was built for manual process modeling, enterprise architecture documentation, and periodic governance reviews. If you’re seeking continuous, automated process intelligence that keeps pace with modern transformation requirements, you may need capabilities specifically designed for: 

Automated continuous discovery: Organizations need platforms that automatically capture how work actually happens in real-time, eliminating manual modeling efforts, stakeholder workshops, and documentation update cycles that create delays and quickly become outdated. 

• Real-time operational intelligence: Beyond static process models showing how work should happen, modern enterprises require live visibility into capacity utilization, workforce behavior, and operational performance to enable proactive management and rapid response to changing conditions. 

• Agentic AI enablement: As organizations deploy autonomous AI agents, they need process intelligence that generates production-ready agent code and structured business context—not process diagrams requiring interpretation and manual translation to executable automation. 

• ROI-driven transformation: Rather than theoretical process improvement potential based on design-time models, organizations need platforms that quantify actual inefficiencies and calculate automation ROI based on observed work patterns, enabling data-driven investment decisions. 

KYP.ai was specifically built to address these needs, providing automated continuous discovery and real-time operational intelligence that drives measurable business transformation rather than process documentation and governance compliance. 

How to choose beyond manual process modeling 

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

• Manual vs. automated discovery: Determine whether you need platforms that automatically capture how work actually happens, or whether manual modeling, workshops, and periodic documentation updates meet your requirements for process understanding. 

• Design-time vs. run-time intelligence: Consider whether you need real-time visibility into operational performance and capacity utilization, or whether periodic process models reflecting designed workflows provide sufficient insights for your transformation initiatives. 

• Compliance documentation vs. automation enablement: Evaluate whether your primary need is governance documentation and compliance frameworks, or whether you require process intelligence that directly enables automation deployment and measurable business improvement. 

• Static models vs. continuous updates: Assess whether periodic model updates through workshops and documentation cycles provide sufficient currency, or whether you need platforms that continuously reflect current operational reality without manual intervention. 

• Agentic AI readiness: Verify 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 process models and documentation. 

• Deployment speed and accessibility: Consider implementation timelines and user accessibility. Some platforms deliver insights within days with minimal training, while traditional modeling approaches may require months of workshops and extensive methodology training. 

• Vendor ecosystem alignment: Determine whether you prefer platforms that integrate deeply with your existing technology stack (Microsoft, SAP, IBM, ServiceNow) or independent solutions that work across diverse environments. 

KYP.ai isn’t an ARIS alternative, it’s an upgrade 

KYP.ai offers the most comprehensive alternative to ARIS for enterprises seeking to move beyond manual process modeling to automated, continuous process intelligence. If your organization needs real-time operational insights that reflect how work actually happens – rather than periodic process models showing how work should happen – consider KYP.ai. 

The platform delivers what modeling-centric approaches cannot: automated continuous discovery that eliminates workshops and documentation efforts; real-time operational intelligence including capacity utilization and workforce behavior; and production-ready AI agent code that enables immediate Agentic AI deployment. This enables organizations to pursue rapid transformation with measurable business outcomes rather than governance documentation and periodic compliance reviews. 

Ready to see how KYP.ai can accelerate your enterprise transformation with automated process intelligence that eliminates manual modeling cycles? Contact our team to schedule a demonstration and discover what continuous, real-time process intelligence can deliver beyond static process models.