10 Best Celonis Alternatives For Process Intelligence in 2026

TL;DR

• Reflow is my first pick for enterprise operations teams that want AI agents running repetitive SOP work, with step-level workflow data to choose those processes and to measure the return after launch. Reflow agents get a laptop and email address apiece, with a person called in whenever an agent can't repair a failed step.

• If your estate runs on SAP, I'd start with SAP Signavio Process Intelligence, which returns first insights within 24 hours of connecting an SAP system. ARIS suits governance-heavy programs that check execution against approved process models.

• UiPath Process Intelligence and Microsoft Power Automate Process Mining fit teams that want mining findings to feed automation on a platform they already own. Power Automate Premium includes process and task mining at $15 per user a month on yearly billing.

• IBM Process Mining publishes starting prices for both SaaS and on-premises deployments. QPR ProcessAnalyzer runs as a native app inside a customer's own Snowflake account.

• For discovery from observed work, without system integrations, Skan AI and Klarity (Within) capture activity at the desktop. mindzie offers a Free Desktop Edition for analysts testing process mining on their own event logs.

What are the best Celonis alternatives in 2026?

Reflow is the best Celonis alternative in 2026 for enterprise operations teams that want step-level workflow data and AI agents built to their own SOPs.

SAP Signavio and UiPath follow, for SAP-centric mining and for mining tied to an automation platform.

Here's how all ten compare:

Which criteria did each Celonis alternative have to meet?

Three tests set the lineup:

• It must build its own picture of how a process runs: from system event logs, observed desktop work, or both. Dashboards that only chart KPIs from another product didn't qualify.

• It must point to what to change: through root-cause analysis, conformance checks, or ranked improvement and automation opportunities.

• It must be on sale to organizations today: with a commercial plan or trial a team can start now.

➡️ A note on scope: The order reflects fit for operations teams replacing or supplementing Celonis, which isn't ranked itself.

#1: Reflow

For enterprise operations teams, Reflow is the best Celonis alternative in 2026 when the plan is to hand repetitive, SOP-defined work to AI agents and to pick those processes from measured workflow data.

Our agents work inside your company's own applications on screen, much like a staff member would, even in software with no API or MCP server.

Teams that want sign-off can route each finished piece of work to a reviewer before it's sent.

Reflow’s workflow intelligence then produces four numbers for each process ahead of any agent build:

• The number of runs.

• How long a run takes on average.

• How much time deviations add to a run, on average.

• Potential monthly savings, measured in hours.

Disclosure: Reflow is our product. I've kept this section to what our platform does, and I name the Celonis work we hand to other platforms.

Operational work is recorded step by step, in the order it happens, by a native agent on Mac and Windows.

Machine learning then classifies the record. Setup requires no integrations or engineering time.

💡 Reflow's subject is the workflow and the systems behind it, which puts watching individual employees outside its design.

Personal content isn't collected by default, while views can be restricted to aggregated or anonymized data.

To be fair to Celonis, the two platforms start from different data. Reflow learns how a process runs from work captured at the desktop, while Celonis builds its model from data extracted out of ERPs and data lakes.

I usually point programs that balance supply chain cash against service levels toward Celonis.

We automate computer-based tasks that follow a written SOP and recur tens to thousands of times a month, with form filling and data entry as typical examples.

If you're coming from Celonis, these are the five capabilities I'd weigh first:

Automation candidates ranked from run data

Using run data our workflow intelligence has already gathered, Reflow gives each workflow an automation-opportunity ranking.

The ranking also identifies which steps an agent would handle.

Our sample readout for subscription cancellations shows the inputs behind a high rating:

• Opportunity score of 78, rated high.

• 3,608 runs.

• 7 minutes 15 seconds per run on average.

• 1 minute 35 seconds of average deviation.

• 96.0 hours a month in potential savings.

Reflow also checks each run against the team's SOP. Skipped or repeated steps appear as drift, while recurring patterns can flag a compliance risk.

As operational time is broken down by customer and project, finance can price a single case and compare it with the cost of automating that case.

With those figures in hand, an operations lead has the business case for an engineering request, or can ask our team to build the automation directly.

If you already know which task you want automated, you can skip the ranking and start with a recording.

Agents that follow the SOP and escalate to a person

Reflow agents pair robotic process automation (RPA) with AI. The SOP sets the steps, which the RPA layer runs in order on each pass.

When a step fails, the AI layer looks for a fix first. If no fix works, the agent pauses and asks a person to explain the failure.

That answer is applied straight away or after review, after which later runs follow the corrected workflow.

Customers choose where people stay involved. Some insist on human approval for each submission.

In that setup, nothing goes out until a reviewer signs off on the work the agent has prepared and flagged as ready.

💡 For accuracy-sensitive work, a fixed sequence the agent can't reinvent mid-run is the safer design. That's why AI handles the exceptions while the RPA layer handles the routine.

Agent identities that IT already knows how to govern

Each Reflow agent works from an email address and a laptop of its own. Customers grant and remove its access as they would for an employee, including cutting it off immediately.

Each agent works for one team and learns its skills from that team's SOP. For example, a payroll team can hand its agent an employer registration for a named person.

The agent reports back once that registration is ready for a check and submission.

Computer use lets agents work in legacy systems with no API or MCP server, which engineering teams tend to struggle with most.

For example:

• Sending a signed IRS form by fax.

• Getting a government filing ready.

• Running payroll benefits and moving payroll between systems.

• Preparing new customer welcome emails.

Automations built from two or three recordings

The people who already do the task are where a Reflow automation begins. From recording to production, it takes four steps:

1. The team performs the task two or three times while we capture each step and exception.

2. Our team turns the recordings into a workflow.

3. We test that workflow internally.

4. Before launch, the customer's own team runs tests alongside ours.

The automation copies the method of whoever knows the task best, since that person defines how it should run.

Each finished automation gets its own guardrails and access permissions. Our goal is for operations teams to automate with little engineering or AI expertise.

ROI tracked on the same dataset after launch

Reflow goes on reporting after an automation launches, measuring the return against the data behind the original business case.

In our refund example, repeatable lookups, copy-paste and updates across several systems take up 52% of a Refund Requests SOP.

The recommended change would be to automate its "lookup + populate + update" sequence, bringing those steps down to 25 seconds.

That saves 1 minute 40 seconds per case and ends missed-field errors.

The measurement isn't limited to browser tools, since the agent runs natively on the desktop without any manual time logs.

Through Reflow's workforce intelligence, the same capture gives workforce managers headcount and working patterns, plus active, session and productive time.

💡 Data is encrypted in transit and at rest, with local data storage available. Reflow's compliance covers SOC 2 Type 2, HIPAA, GDPR and CPRA/CCPA.

How is Reflow different from Celonis?

Reflow measures each workflow run step by step from captured desktop work and builds agents to a team's SOP, while Celonis models the whole business from process data and knowledge drawn out of a company's systems.

I’d say that Celonis is well built for enterprise-wide programs that depend on that system-of-record view, from supply chain balancing to ERP migrations, and we leave that work to it.

On the other hand, Reflow covers workforce intelligence, workflow intelligence and the automation built on them, all on a single dataset gathered without integrations.

Here’s how the 2 platforms compare:

Reflow pricing

Reflow doesn't publish a price list. Pricing is quoted after a demo and depends on headcount and the processes in scope.

💡 Our team takes care of configuration during white-glove onboarding, leaving your side with little to do.

Reflow pros and cons

✅ Run counts, typical duration, deviation and potential monthly savings are reported per workflow before anything is automated.

✅ SOP checks on each run expose drift before a process goes to an agent.

✅ Agents have their own email addresses and laptops, which lets a company switch off their access immediately.

✅ Human review is configurable and can extend to sign-off on each submission.

✅ Legacy applications without an API or MCP server are within reach of the agents.

✅ Recording a task is enough to start an automation, so no engineering backlog stands in the way.

✅ Setup needs no integrations or engineering resources, with existing tools left as they are.

❌ Reflow analyzes work captured at the desktop. Programs built on ERP event logs and object-level process models are a better match for Celonis.

❌ Pricing isn't published.

#2: SAP Signavio Process Intelligence

Best for: SAP-centric enterprises that want fast insight into SAP processes, with benchmarks and value tracking, and a path to deeper mining across non-SAP systems.

Similar to: ARIS, IBM Process Mining.

SAP Signavio Process Intelligence is SAP's process mining product, built to return first insights within 24 hours of connecting an SAP system.

Its findings link into the wider SAP Signavio Process Transformation Suite, where teams can model and govern the processes they've mined.

SAP Signavio features

• Ready-made analysis: preconfigured process flows, performance metrics and industry benchmarks, plus built-in metrics for more than 1,000 typical issues and inefficiencies.

• Domain coverage: process performance across financials, manufacturing, quality, maintenance, service, claims and capital expenditures, with daily data updates.

• Root cause and AI assistance: drill-downs into individual process steps, AI-assisted root cause analysis, and SAP's SIGNAL query language for tailored investigations, and generative AI that answers process questions.

• Cross-process view: detection of how processes influence one another, taken directly from event data, and a map of business objects across the landscape (in beta).

• Simulation: what-if scenarios run against event-log data or BPMN models, showing how a change would affect cost, throughput and resource needs.

• Process Atoms: reusable units of process logic for checking execution against defined business rules.

• From insight to action: recommendations backed by configuration changes and master-data fixes, plus notifications, workflows or bots run through SAP Build Process Automation or another vendor's RPA.

• Value tracking: progress against improvement targets, value cases linked to initiatives, and support for building an SAP S/4HANA transformation case.

How much does SAP Signavio cost?

SAP sells Process Intelligence as base and advanced capability sets.

The product page had no list prices when I checked it in early November 2026, so my advice is to ask SAP whether the base set covers your S/4HANA scoping before paying for advanced.

• Base capabilities (price on request): SAP connectivity with insights in under 24 hours, ready-to-use process flows and benchmarks, recommendations, and value tracking.

• Advanced capabilities (price on request): connectors for SAP and non-SAP sources, data management through SAP Business Technology Platform, SIGNAL, cross-process dependency detection, simulation, Process Atoms and automated actions.

• Ways to start (no charge): a free trial sign-up on the SAP Signavio site, a demo request, and a free analysis request.

SAP Signavio pros and cons

✅ Benchmarking works at two levels, inside the company and against industry peers.

✅ Simulations can start from either event logs or BPMN models.

✅ Process change alerts go out by email, in Microsoft Teams or through other integrated notification channels.

❌ Neither capability set has a public price, while SIGNAL, simulation and cross-process detection belong to the advanced one.

#3: UiPath Process Intelligence

Best for: Organizations that want process and task mining findings to flow into UiPath agents, robots and Maestro orchestration on one platform.

Similar to: Microsoft Power Automate Process Mining, IBM Process Mining.

UiPath Process Intelligence combines UiPath Process Mining, which reads event logs from enterprise systems, with UiPath Task Mining, which records the desktop work those logs can't see.

Findings can feed Maestro Orchestrate on the same platform, and UiPath says the product also works as a standalone discovery tool.

UiPath Process Intelligence features

• Event log extraction: native connections to SAP, Oracle, Salesforce, ServiceNow and Workday, hundreds more enterprise and SaaS sources, and a framework for building connectors to custom apps.

• Desktop capture: Task Mining recordings of desktop activity, with built-in redaction of personally identifiable information.

• Diagnosis: root-cause analysis, estimates of time and cost savings for ranking automation candidates, and comparison of actual against expected workflows.

• Testing changes: simulation tools that predict the outcome of a process change before it's made.

• Redesign and action: BPMN modeling for reengineering, alerts and automations triggered by rules or KPIs, and before-and-after performance measurement.

• Governance: role-based access, audit trails and continuous conformance monitoring.

• Prebuilt use cases: finance and accounting work such as reducing days sales outstanding, procurement alerts against maverick buying, order-to-cash, and IT service management.

How much does UiPath Process Intelligence cost?

UiPath's pricing page lists Process Mining and Task Mining under its Standard and Enterprise plans, both priced through sales. You'll want to put the 60-day Standard trial to work on one real process, since Basic doesn't include either tool.

• Community ($0) and Basic (from $25 per month): automation plans that don't include Process Mining or Task Mining.

• Standard (sales quote; 60-day free trial): Process Mining and Task Mining alongside agent building and orchestration, with your own identity provider, an opt-out from data collection, and a choice of UiPath-hosted regions or on-premises hosting.

• Enterprise (sales quote): everything in Standard plus monitoring, optimization and simulation of live processes, self-healing UI automation, and customer-supplied encryption keys, credential vaults and AI models.

• Licenses (priced separately): the Basic, Plus and Pro user types and Unattended Robots can require purchases beyond the plan.

UiPath Process Intelligence pros and cons

✅ Findings become automated workflows on the same platform, without exporting data between tools.

✅ Process Intelligence can run as a standalone discovery tool, with orchestration added later.

✅ On-premises hosting is available on Standard and Enterprise.

❌ Process Mining and Task Mining start on Standard, a plan priced by sales.

#4: IBM Process Mining

Best for: Teams that want a published starting price, simulation in the core platform, and a choice between SaaS and on-premises deployment.

Similar to: SAP Signavio, QPR ProcessAnalyzer.

IBM Process Mining is sold as SaaS hosted on AWS or deployed on premises on Red Hat OpenShift.

Its capabilities run from conformance checking and decision mining to simulation and automated RPA bot generation, with a Process Mining Assistant powered by watsonx.

IBM Process Mining features

• Analysis on an object-centric model: process modeling, rework and performance analysis, variant breakdowns and conformance checking.

• AI help: the Process Mining Assistant powered by watsonx, alongside prescriptive process mining.

• What-if testing: simulation and what-if analysis for weighing a change in advance.

• Rules and controls: decision mining, rules analysis, segregation-of-duties analysis and business process analysis.

• People and handoffs: activity maps and social network analysis.

• Acting on results: alerts and triggered actions, RPA bots generated automatically, custom metrics, and streamed data.

• Desktop activity: IBM Task Mining agents that capture user activity alongside the event-log analysis.

• Process apps: prebuilt applications for IT, supply chain, HR and customer journeys, including a sustainable procurement app aimed at ESG goals.

How much does IBM Process Mining cost?

IBM's pricing page publishes a starting configuration for each deployment model, noting that prices are indicative and vary by country.

They also exclude taxes and duties and depend on what's offered locally.

Based on my experience, it's worth sizing analyst and business-user seats before the first sales call, because the entry configurations are small.

• Platform, SaaS (from $4,250 per month, sold annually): hosted on AWS and fully managed by IBM, starting with 20 GB of storage, three business users and one analyst user, and available through IBM, a partner or AWS Marketplace. Storage add-ons are available.

• Platform, on premises (from $2,885 per month): deployed on Red Hat OpenShift; the entry configuration covers three projects and 20 million events, with three business users, one analyst user and two task mining agents.

• Free trial: available from IBM's site.

IBM Process Mining pros and cons

✅ AWS Marketplace purchases can draw down committed AWS spend under the Enterprise Discount Program.

✅ Segregation-of-duties analysis comes with the platform.

✅ Both deployment models have a published starting price.

❌ Starting configurations include one analyst user and three business users, and larger rollouts are customized through IBM or a partner.

#5: Microsoft Power Automate Process Mining

Best for: Organizations on Microsoft 365 and Power Platform that want process and task mining next to the flows they already build.

Similar to: UiPath Process Intelligence, mindzie.

Power Automate Process Mining is the process and task mining capability inside Microsoft Power Automate, previously known as Process Advisor.

Each mined process gets a Power BI report, while task mining can recommend flows down to the connectors to use.

Power Automate Process Mining features

• Data intake: templates, direct connections to Azure Data Lake Storage, or dataflows using connectors or uploaded files, with the Power Query editor for cleaning data first.

• Process reports: a Power BI report per process with a summary, a process map and variant DNA, publishable to a Power BI workspace on a refresh schedule.

• Task mining: recorded desktop actions that produce a process map and an application analytics report.

• Copilot in Process Mining: guidance through data ingestion, plus natural-language questions answered with quantitative and qualitative summaries.

• Desktop app: the Process Mining desktop app for breaking process cycles into smaller pieces, tracking KPIs and finding where problems start.

• Power Platform templates: ready-made analyses for desktop flows, Copilot Studio agents and Power Apps usage.

How much does Power Automate Process Mining cost?

Microsoft licenses process mining per user through Power Automate Premium, with a tenant-wide add-on for larger data volumes, according to the Power Automate pricing page.

I'd run the 30-day trial on a single process first and estimate your data volume before deciding on the add-on.

Microsoft notes that the prices it shows are for marketing purposes and can differ by currency, country or organization:

• Free trial ($0 for 30 days): cloud flows on standard connectors, plus process and task mining.

• Power Automate Premium ($15 per user per month, paid yearly): cloud flows, attended desktop flows, process and task mining with 50 MB of process mining data per license (up to 100 GB per tenant), and managed environments. Dataverse entitlements of 250 MB database and 2 GB file capacity are included.

• Process Mining add-on ($5,000 per tenant per month, paid yearly): 100 GB of process mining data plus 2 GB of Dataverse database and 1 TB of file capacity, for Premium customers.

• Power Automate Process ($150 per bot per month, paid yearly): unattended desktop flows for automations that come out of the analysis.

• Power Automate Hosted Process ($215 per bot per month, paid yearly): the same unattended automation on a virtual machine that Microsoft manages and hosts on Azure.

Power Automate Process Mining pros and cons

✅ Copilot guides users through data ingestion as well as analysis.

✅ Process reports publish to an existing Power BI workspace.

✅ Templates cover Power Platform's own flows, agents and apps.

❌ Premium includes 50 MB of mining data per license, and the separate 100 GB allowance is a $5,000-a-month tenant add-on.

#6: ARIS

Best for: Governance-focused programs that model processes, check execution against approved designs, and want AI help across both.

Similar to: SAP Signavio, IBM Process Mining.

ARIS combines business process analysis and modeling with process mining on one platform, built to trace why processes stall or drift out of compliance.

The ARIS AI Companion works across that platform, from generating process models to answering business questions inside ARIS Process Mining.

ARIS features

• Process reconstruction: ARIS Process Mining rebuilds actual process flows from process data, with an AI-based root cause mining engine for delays and anomalies.

• Conformance: checks against EPC models, plus multi-model conformance across countries, regions or business units.

• ARIS AI Companion: AI-based model generation and search, answers to business questions, and help writing code for calculated fields.

• ARIS Task Mining: desktop-level capture added with the ARIS 10.0 SR28 release.

• ARIS Flows: an AI-powered builder for governance workflows.

• Modeling foundation: business process analysis and design, positioned by ARIS as the base layer of its process intelligence.

How much does ARIS cost?

ARIS comes in several editions, one of them free, while the paid editions are sold after a demo.

I'd normally have the modeling team start on ARIS Basic before anyone books that demo.

• ARIS Basic ($0): an entry edition for business process management with essential features and model types.

• ARIS Process Mining Advanced and Enterprise (quote): the paid mining editions, priced through ARIS sales.

ARIS pros and cons

✅ Multi-model conformance compares execution across countries, regions or business units.

✅ Modeling teams can begin on the free ARIS Basic edition.

✅ The AI Companion can draft process models as well as answer questions.

❌ Paid editions have no public price.

#7: Skan AI

Best for: Enterprises that want work observed at the desktop with no integrations, then turned into an AI roadmap and governed agents.

Similar to: Klarity (Within), Reflow.

Skan AI observes work at the desktop with computer vision, so it needs no integrations with the systems people use.

The platform groups its platform as Blueprint, Intelligence and Agents, three products fed by the same observations.

Skan AI features

• Blueprint: recommendations, roadmaps and ROI for AI projects, with readiness scores and estimated financial impact.

• Intelligence: process maps, automation scores and productivity figures for operations and engineering teams, drawn from continuous observation.

• Agents: agents run on Agentic Operating Procedures (AOPs), machine-readable process definitions that set each step, the decision rules, when to escalate and what counts as success.

• Coverage: VDI, mainframe and legacy screens as well as everyday desktop, web and office applications.

• Context graph: a shared context graph of work that process improvement and agents both run on.

How much does Skan AI cost?

Skan AI is sold as an enterprise subscription through a demo, without prices on its site.

Skan AI pros and cons

✅ Observation starts with no system integrations.

✅ Engineering teams can be included through Engineering Intelligence.

✅ AOPs give agents explicit escalation thresholds and success criteria.

❌ Buyers can't compare costs before a sales call.

#8: Klarity (Within)

Best for: Transformation leaders who want documented and undocumented work captured quickly, to plan AI agents across finance, IT, GTM, HR and operations.

Similar to: Skan AI, Reflow.

Klarity (Within) maps how people work and structures it into a Work Brain, a living context graph that people and AI agents can draw on.

The platform renamed itself Within in 2026, and klarity.ai now redirects to within.ai.

Klarity (Within) features

• Discovery: AI Companion captures screen activity, AI Interviews collect process knowledge from staff, and file uploads add existing documents.

• Work Brain: a single AI-built map of every discovery input, updated as work changes, with search and role-aware views.

• Advisor: recommendations and automation opportunities ranked by ROI potential, available through natural-language questions.

• Signals: alerts on drift and anomalies, plus improvements made by individual team members that could be rolled out more widely.

• SOPs from recordings: recorded walkthroughs and existing videos turned into usable SOP documents.

• Agent skills: strong practices packaged as skill files, such as a playbook and checklist, that agents can run.

How much does Klarity (Within) cost?

Klarity (Within) prices by subscription, according to its own comparison with traditional consulting, though it publishes no figures.

It's ideal to start the demo with one function, such as finance or IT, because Within packages its solutions that way.

Klarity (Within) pros and cons

✅ Capture is user-controlled, anonymized and reviewed, under SOC 2, CCPA and GDPR.

✅ Within MCP connects the Work Brain to AI assistants a company already uses.

✅ Packaged solutions cover finance, IT, GTM, HR and operations, plus PE operating partners.

❌ Pricing comes from a demo, with no public rate card.

#9: QPR ProcessAnalyzer

Best for: Data teams on Snowflake that want object-centric process mining inside their own Snowflake account.

Similar to: IBM Process Mining, mindzie.

QPR ProcessAnalyzer is QPR Software's process mining platform, offered as a native app on Snowflake Marketplace that runs in the customer's own Snowflake account.

It handles both case-centric and object-centric process mining, letting analysts move between the two views.

QPR ProcessAnalyzer features

• Object-centric mining: analysis of processes that involve several interacting objects across ERP, CRM, supply chain and finance, with object-centric flowcharts and filters.

• AI analysis: AI root causes and AI Agent presets that report findings and recommendations on process lead time and variations.

• BPMN from data: BPMN 2.0 diagrams generated from Snowflake event logs, with active filters applied.

• Web task recording: the QPR Task recorder for web applications, which holds captured data in the browser until export.

• Dashboards: drag-and-drop dashboard building, with private filters that viewers can save.

How much does QPR ProcessAnalyzer cost?

QPR doesn't publish a price list. Its self-serve route is Snowflake Marketplace, according to the company's Snowflake launch post.

If your event data is already in Snowflake, it makes sense to start with the 30-day trial there.

QPR ProcessAnalyzer pros and cons

✅ Process data stays in the customer's Snowflake account, with no transfer to a separate platform.

✅ Presets switch dashboards between case-centric and object-centric flowcharts.

✅ QPR's MCP server makes process data available to AI assistants.

❌ Pricing outside Snowflake Marketplace is quoted.

#10: mindzie

Best for: Analysts and smaller teams that want to try process mining free on the desktop before moving to cloud or on-premises editions.

Similar to: QPR ProcessAnalyzer, Microsoft Power Automate Process Mining.

mindzie studio is a low-code process mining platform with a generative AI copilot that answers questions about a process in natural language.

It runs on the desktop, in mindzie's cloud or on a customer's own servers.

mindzie features

• AI Copilot: natural-language requests, such as filtering for cases that take longer than 48 hours or asking for a root cause, return insights and recommendations.

• Analysis: root cause identification, predictive AI and analysis templates.

• Data and follow-up: system connectors for data intake and automated actions that respond to findings.

• Process modeling: business process models to compare with how processes run in practice.

• Deployment choice: desktop, cloud-hosted and on-premises versions, each with generative AI.

How much does mindzie cost?

mindzie licenses by the number of users with access. Its vendor-supplied pricing on G2 lists the editions below, and you'll want to test the free one on a real event log before asking for a cloud quote.

• Free Desktop Edition ($0): mindzie studio on a single desktop, generative AI included.

• Cloud Edition (contact mindzie): hosted by mindzie and licensed per user per year.

• On-Premise Enterprise (contact mindzie): installed in the customer's environment and licensed per year.

mindzie pros and cons

✅ The free edition comes with the generative AI features.

✅ On-premises deployment suits teams that hold data in-house.

✅ Per-user licensing lets a company apply the platform across many processes.

❌ Cloud and on-premises prices are quoted.

Where does each Celonis alternative get its process data?

Seven of the ten alternatives start from system event logs, several of them with desktop task mining on top. Reflow, Skan AI and Klarity (Within) begin with observed work.

If your Celonis program depends on ERP event logs, I'd shortlist the log-based tools first.

Where the goal is to see desktop work and hand parts of it to agents, the observation-based tools fit better.

Our Klarity alternatives guide compares those in more depth.

When should you stay with Celonis?

I'd stay with Celonis when a process program spans many systems of record and needs one model of the business that people and AI agents can both work from.

Celonis is also the better fit in these situations:

• Analysts need to query billions of records quickly through the Data Core.

• The program targets supply chain resilience, IT modernization, cost takeout or emissions, where Celonis has dedicated use cases.

• Teams want prebuilt solutions for specific processes and industries from partners in the Celonis Marketplace.

• Process experts already build their analyses in Process Explorer and Celonis Studio, with Insights Explorer and co-pilots for pattern detection.

• AI agents need context from a model that mines new processes and agents as they run.

• Front-office activity has to be tied to back-office processes.

Test Reflow next to Celonis

I'd recommend a parallel pilot on one high-volume, computer-based workflow, with Celonis left in place for its system-level analysis.

Here’s how it’d work:

1. Choose a workflow with hundreds of runs a month, for example invoice correction and reissue.

2. Reflow's team sets up the platform, after which capture begins on your Mac and Windows machines with nothing to integrate.

3. Leave Celonis running on the event-log view of the same process.

4. A few days in, compare Reflow's run counts, timing, deviation and potential savings with the system-level view in Celonis.

5. If the readout makes the case, your team runs through the task on record two or three times so we can build and test the agent together.

6. Track that agent's return in Reflow once it's live.

➡️ To see your own workflows ranked by automation potential, book a demo. Our Collective case study details $3.1M in annual cost savings.

⚠️ Disclaimer: Information in this article is current as of November 2, 2026. Let us know if something has changed since then, and we'll review and correct the article.

Frequently asked questions

Which Celonis alternative is best for enterprise operations teams?

Reflow is the best Celonis alternative for enterprise operations teams running one SOP hundreds or thousands of times and wanting AI agents to take that work on.

Our platform measures each workflow's runs, timing and deviation before an agent is built, then reports the return after launch.

Agents get their own email addresses and laptops, while customers decide where people review the output.

Is there a free Celonis alternative?

Yes, mindzie's Free Desktop Edition costs nothing and includes its generative AI features.

ARIS Basic is also free, though it covers process modeling, with mining in paid editions.

IBM Process Mining, SAP Signavio, UiPath (60 days on Standard), Microsoft Power Automate (30 days) and QPR ProcessAnalyzer (30 days on Snowflake Marketplace) all offer free trials.

Which Celonis alternative is best for SAP environments?

SAP Signavio Process Intelligence is the strongest Celonis alternative for SAP environments, returning first insights within 24 hours of connecting an SAP system.

Its preconfigured metrics flag more than 1,000 typical issues, and its findings feed the rest of the SAP Signavio Process Transformation Suite and SAP Build Process Automation.

Can a Celonis alternative work without system integrations?

Yes. Reflow, Skan AI and Klarity (Within) build their picture from observed work, without system integrations.

Reflow records each workflow step through a native Mac and Windows agent, Skan AI uses computer vision at the desktop, and Klarity (Within) combines screen capture with AI Interviews and file uploads.

Which Celonis alternatives can carry out the automation they recommend?

Reflow, UiPath, Microsoft Power Automate and Skan AI can each execute automations on their own platforms.

Reflow builds agents to the team's SOP and measures them after launch, UiPath hands findings to Maestro Orchestrate, Power Automate runs cloud and desktop flows, and Skan AI deploys agents built from Agentic Operating Procedures. IBM Process Mining also generates RPA bots automatically.

For agent-first tools without the mining layer, see our Grok Bot alternatives guide.

How much does Celonis cost?

Celonis doesn't publish paid pricing, with enterprise plans quoted by its sales team.

The Celonis website offers a "Try for free" option. If you need a number before a sales call, look first at IBM Process Mining and Microsoft Power Automate, which publish prices starting at $4,250 a month for IBM's SaaS platform and $15 per user a month for Power Automate Premium.

Is there a Celonis alternative that also tracks time and productivity?

Reflow covers workforce intelligence as well, reporting work, active, session and productive time from the same capture that feeds its workflow data.

For productivity analytics tools built around time tracking, our ActivTrak alternatives guide compares ten options.