Comparison

Caddi vs. IBM Process Mining

IBM Process Mining is event-log process mining and simulation: analysts model the process, then the automation is built separately in IBM RPA or another tool. Caddi is end-to-end AI process automation: it discovers the work in the tools you already use, the person who does it builds the automation, and every run is governed.

The Caddi Team•September 23, 2026

What is IBM Process Mining?

IBM Process Mining is IBM's event-log process mining and simulation tool, available as SaaS or on premises, with task mining agents for desktop work. The automations it points to are built separately, in IBM RPA or another platform.

Best for organizations that need on-premises deployment, simulation and what-if analysis on ERP event logs, or that are standardized on IBM.

How Caddi's approach is different

Caddi is the end-to-end process automation solution. It doesn't stop at discovering your processes: it also builds the automation that replaces them and governs every run.

Cheaper. Free to start. No six-figure contract, no data-volume pricing.
Faster. Findings in 15 to 30 minutes. No event logs, desktop agents or consultants.
Agentic first. The AI forms hypotheses about how your work runs and validates each one against your data.
Build it right away. The person who does the work builds the automation. No IT project.
Governed. Every run and decision is logged and reviewable. No black box.

IBM Process Mining (built on the myInvenio acquisition) is a serious event-log mining and simulation tool, and IBM is unusually open about what it costs. What it does not do is build the automation: that happens separately, in IBM RPA, watsonx Orchestrate or another platform. Caddi runs the whole way in one product: Discover finds the repeated work in the tools you already connect, Automate lets the ops person who does it build the automation, and Govern logs every run and decision. For the category as a whole, see our process mining guide.

Commercial facts: IBM Process Mining and Caddi
Fact	IBM Process Mining	Caddi
Pricing model	Monthly subscription by data volume and user type; SaaS or on-premises.	Plan-based: a monthly pool of credits and a number of active loops. Unlimited users on Team and above.
Published entry price	SaaS from $4,250 per month (20GB, 3 business users and 1 analyst). On-premises from $2,885 per month.	Individual $0. Team $250 per user per month. Business $6,500 per month. Enterprise custom.
Free tier or trial	Free trial with 1GB of data.	Individual plan, free for one user with no time limit (200 credits and 10 loops per month).
Sign up without a sales call	Trial yes; subscriptions through IBM sales.	Yes, Individual and Team sign up online.
Who builds and maintains it	Analysts load event logs and model the process; automations are built separately, typically in IBM RPA or another platform.	You teach the workflow once by screen-share; Caddi builds it as verified code and maintains it.

Facts checked September 23, 2026. Where a vendor does not publish pricing the row says so, and any figure given is a third-party report.

Sources

Finding the work is step one

IBM Process Mining can show you variants, bottlenecks and deviations from the intended process, and simulate what would change if you automated a step. Then the recommendation leaves the product. Building the automation is a separate license and a separate team, usually IBM RPA or watsonx Orchestrate developers, or a partner, and the finished automation is run and monitored in that platform.

DiscoverFind the work worth automatingAutomateTurn the finding into a running automationGovernSee and review every run and decision

IBM Process MiningMines event logs extracted from your systems, with simulation and optional task mining agentsAutomation is built separately in IBM RPA, watsonx Orchestrate or another platformMonitors the process; the automations are run and watched in the separate platform

CaddiReads the tools you already use, read only, and ranks the repeated work with its evidenceThe ops person doing the work builds it. No IT project, no RPA developerEvery run and every decision is logged and reviewable. No black box

IBM Process Mining is strong on Discover for ERP-scale event logs and hands off the build. Caddi covers Discover, Automate and Govern in one product.

Event logs vs. connected tools: how each one finds the work

Event-log mining needs event logs: case IDs, activities and timestamps extracted from ERP and other systems and loaded into the tool, which is work for a data or IT team before any analysis starts. It pays off on high-volume, well-instrumented processes like order-to-cash or procure-to-pay. IBM also offers desktop task mining agents for work that never reaches a log, but those agents stop at the map too: building what they find is still a job for your automation team.

Most law firm, wealth management and accounting work never shows up in a tidy event log. It lives in email threads, document folders, CRM records and e-signature envelopes. Caddi Discover reads those directly from the tools you already use (Outlook or Gmail, iManage, NetDocuments, Clio, Salesforce, Wealthbox, Redtail, Box, DocuSign and more), under the access the user already has, read only, always. It forms hypotheses about which processes are running, checks them against the real data, and shows only what the data supports. No extraction, no data engineering, no desktop agents. A first scan usually takes 15 to 30 minutes.

High confidence

Morning Inbox Triage and Matter Filing

Read each new message in Outlook, open any Docusign envelope, match it to the matter in Clio and file the executed copy to NetDocuments.

152hrs / yr5×/week · ~35 min each

Microsoft Outlook

Docusign

Clio

NetDocuments

What Caddi saw

1,204messages read in Outlook in the last 30 days
418Docusign envelopes opened from those messages
412matters matched in Clio and filed to NetDocuments
6exceptions raised for review in Teams

Why it’s worth automating

Every message already names the client and the matter. The four steps are the same each time, and the tools never talk to each other, so you carry the details between them by hand.

Reads the tools you already use, read only. No event logs, no desktop agents.

Microsoft Outlook
Gmail
Clio
NetDocuments
iManage
Salesforce
Wealthbox
Redtail
Box
Docusign
QuickBooks
HubSpot
150+ tools

A Discover finding, opened: what Caddi saw, why it is worth automating, and the estimate (frequency x duration over the observed window, a ranking aid rather than a forecast).

From event log to running automation

One product, run by the ops team

1
Connect the tools, read onlySign in to the systems the work runs through. No event-log extraction.
2
Ranked findings with evidenceDiscover ranks the repeated work by hours, each finding opening to what Caddi saw and why it matters.
3
The ops person builds itBuild next on a finding, or teach Caddi once over a screen-share. Verified code over APIs, no IT project.
4
Every run on the recordGovern logs every run and decision in the same product, traceable to source.

Tap a tab to compare the event-log mining lifecycle with Caddi's Discover, Automate, Govern loop.

Caddi vs. IBM Process Mining at a glance

	IBM Process Mining	Caddi
How it finds work	Event logs extracted from ERP and other systems, plus optional task mining agents	Reads activity in connected tools, read only
Setup	Data extraction and modeling before analysis	Sign in to your tools
Who runs it	Process analysts, with data or IT support	The ops lead or the person doing the work
What happens after the insight	Hand-off to a separate automation program	Build next, in the same product
Who builds the automation	Developers in IBM RPA, watsonx Orchestrate or another platform	The ops person, by teaching Caddi once
Governance of automations	In the separate automation platform	Govern: every run and decision logged and reviewable
Pricing model	SaaS from $4,250/mo, on-prem from $2,885/mo; automation extra	Free, then $250/user/mo for Team
Time to first finding	After extraction and modeling	Usually 15 to 30 minutes
Free plan	Free trial with 1GB of data	Yes, Individual includes Discover and Automate, no time limit

How they score where it counts

On its own ground, IBM Process Mining is the deeper tool. Caddi does not do conformance checking, variant analysis over millions of ERP events, or simulation, and it does not run on-premises. Caddi wins on setup and on everything after the finding.

CaddiIBM Process Mining

Directional scoring (out of 5). IBM leads on mining depth, simulation and on-premises; Caddi leads on setup, building and governing.

When IBM Process Mining is the right call

IBM Process Mining is a good choice when you must run on-premises, when the questions are about high-volume ERP processes and you want simulation and what-if analysis before changing them, or when your organization is already standardized on IBM's automation stack and has the analysts and developers to use both halves. Its published pricing also makes it easier to budget than most enterprise mining tools.

When Caddi is the right call

Caddi fits when the work lives in email, documents, CRM and e-signature rather than ERP event tables, when there is no data team to extract logs, and when you want the finding turned into a running automation by the person who does the work, with every run and decision reviewable. That is most law firms, RIAs, accounting firms and insurance back offices.

Which fits your situation?

Best fit

IBM Process Mining

IBM Process Mining offers an on-premises edition. Caddi is a cloud product.

IBM Process Mining is a strong analysis tool with honest pricing, but its output is a recommendation for another product and another team. If your work runs through connected tools, Caddi finds it, the ops person builds it, and every run is on the record, and it is free to start.

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See it on your own work

Run Caddi Discover free, compare pricing, or book a demo. Evaluating other mining tools? See Caddi vs. Celonis and Caddi vs. Skan.ai, the process mining guide, or our process mining software roundup.

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Do more with less

Discover, Automate, Govern

No event logs to extract and no separate automation license: find it, build it and review every run. Free to start.

Frequently asked questions

How much does IBM Process Mining cost?

IBM publishes its pricing. The SaaS edition starts at $4,250 per month, which includes 20GB of data, 3 business users and 1 analyst. The on-premises edition starts at $2,885 per month. There is a free trial with 1GB of data. Automation is licensed separately, in IBM RPA, watsonx Orchestrate or another platform. By comparison, Caddi Individual is free and includes Discover and Automate, Team is $250 per user per month and adds Govern, and Business is $6,500 per month.

What are the best IBM Process Mining alternatives?

For event-log process mining at similar or greater depth, Celonis, SAP Signavio and UiPath Process Mining are the usual shortlist. For desktop task capture, Skan.ai, Mimica and KYP.ai. If you want the repeated work found in the tools you already use and then built and governed in one product, Caddi is the alternative: Discover finds it, Automate lets the ops person who does it build the automation, and Govern logs every run and decision.

Does IBM Process Mining build automations?

IBM Process Mining analyzes and simulates processes. The automations it recommends are built separately, typically in IBM RPA, watsonx Orchestrate or another automation platform, by developers or a partner. In Caddi, the same product that finds the work builds it: the ops person teaches Caddi the workflow once, and Caddi builds it as verified code over APIs across 150+ tools.

Can IBM Process Mining run on-premises?

Yes. IBM offers both a SaaS edition and an on-premises edition, which is one of its clearest advantages for organizations that require on-premises deployment. Caddi is a cloud product.

IBM Process Mining vs. Caddi: which should I choose?

Choose IBM Process Mining if you need on-premises deployment, simulation and what-if analysis on ERP event logs, or if you are standardized on IBM's automation stack. Choose Caddi if your work runs through cloud tools like email, document management and CRM, you have no data team to extract and model event logs, and you want the work found, built and governed in one product.

Is there a cheaper alternative to IBM Process Mining?

Yes. Caddi Discover is on the free Individual plan with no data volume to buy, and it usually returns ranked findings in 15 to 30 minutes because it reads your connected tools directly instead of requiring an event-log extraction. Automate is included on the free plan too.