ADONIS vs. ProcessMind: BPM Suite and Process Mining Comparison

If you are evaluating BOC Group’s ADONIS against ProcessMind, the feature list will not decide it: both cover BPMN modeling, process mining, and simulation. The differences are in how the tools are built, adopted, and priced. ADONIS is built for big programs: a governed process repository, an architecture and GRC ecosystem around it, and a partner-driven rollout. ProcessMind is built to start small: one process, one event log, one seat, in one browser-based workspace at published per-seat prices. If the project starts as a program, the suite fits. If it starts as one process, ProcessMind fits, and it scales seat by seat as the project proves itself.

What are you comparing?

ADONIS and ProcessMind answer different versions of the same question: how do we understand and improve how work actually runs?

ADONIS, from BOC Group, is built around process management: BPMN modeling, a process portal, process mining, simulation, and compliance packs, with ADOIT for enterprise architecture and ADOGRC for governance, risk, and compliance as sibling products. Its design goal is a governed process environment an organization grows into over years, staffed through a large partner network.

ProcessMind puts process mining, BPMN 2.0 modeling, dashboards, and simulation in one browser-based workspace. You can import an event log, discover how the process runs, compare it with a process model, and simulate a change to the same model. There is no rollout to adopt it, and no minimum license: start with one process and one seat, then expand when the results justify it.

On the core capabilities the two tools are close: both model in BPMN, mine event logs, and simulate changes. What usually decides the purchase is not the feature table. Three practical differences decide it: how the pieces connect, how fast a team can start, and what the pricing model commits you to.

The practical comparison comes down to three questions:

• Do you need the surrounding governance and architecture ecosystem that ADONIS offers?
• Do you have the team and time to roll out and maintain a full suite?
• Is your priority a governed corporate process repository or a focused investigation of how one process runs?

What does ADONIS offer?

ADONIS is a long-running process management suite, and BOC describes it as an AI-powered BPM suite that spans BPMN modeling, a process portal for publishing, process mining, simulation, and compliance packs. Around the core product sit ADOIT for enterprise architecture and ADOGRC for governance, risk, and compliance. That is aimed at organizations that want one vendor across process, architecture, and GRC work.

That shows in how the product is bought and used. BOC sells ADONIS through a large partner network, its strongest adoption is in German-speaking Europe, and the free Community Edition is widely used in university teaching. BOC also reports analyst recognition: ADONIS was a Customers’ Choice in the 2026 Gartner Peer Insights for enterprise business process analysis, with a 4.7/5 rating from 348 reviews as of May 2026.

That strength has conditions, and they point ADONIS at big projects. Its published Grow tier starts at five seats on annual billing, and the rollout typically runs through a BOC partner. The value depends on how much of the surrounding ecosystem you use, whether your organization already works with BOC or one of its partners, and whether your process work is organized around a long-running governance program. If your need this quarter is to understand one process, the suite’s strengths (shared content across a process repository and a governed rollout) may be more than the task requires. Scope the first project and let the results decide what comes next.

What does ProcessMind offer?

ProcessMind is a process intelligence platform built around one workspace: process mining, BPMN 2.0 modeling, dashboards and KPIs, and discrete-event simulation share the same process. A model can be checked against the event log, animated with real cases, and simulated before a change is made.

You can import an existing BPMN model or let AI draft one from a text description, load an event log, and analyze how the process runs. In the same workspace, you can run conformance checking between the model and the mined process, investigate bottlenecks and rework in the case explorer, and build dashboards with process health scores. AI is part of the platform rather than a separate product: AI-assisted modeling, generated documentation, and AI-generated simulation settings are available on paid plans.

ProcessMind works with exported event data (CSV, XLSX, XES, Parquet, and other formats, or a push through the REST API) rather than live connectors into source systems. That trade-off is deliberate: it means you can analyze a process without first standing up an integration project, but it also means someone has to export or schedule the data. For teams that want to start with a specific process and expand based on what they learn, that is usually an acceptable starting point.

How do the platforms compare?

The table is a starting point, not a substitute for checking your requirements. Where a claim is about ADONIS, verify it against BOC’s current materials, because packaging changes.

Where does ADONIS have an advantage?

ADONIS wins in several situations, and a fair comparison has to name them.

Governance and repository depth. ADONIS has decades of refinement in release cycles, approvals, and process publishing, and its compliance packs are aimed at organizations that need documented, auditable process control. If your buying trigger is “who owns this process and who approved it,” that is ADONIS’s home ground.

One vendor across process, architecture, and GRC. ADOIT and ADOGRC extend the repository from processes to enterprise architecture and governance, risk, and compliance. If your organization wants a single corporate standard across those three disciplines, that ecosystem is a real advantage over a process-focused platform.

Analyst and market recognition. The Gartner Peer Insights Customers’ Choice rating gives ADONIS a track record that is easy for procurement to accept. If your evaluation process weighs analyst scores and review volume, ADONIS starts ahead.

University and partner footprint. The free Community Edition means many process professionals learned process modeling in ADONIS, and BOC’s global partner network can staff a rollout. That inertia matters: your team may already have ADONIS-trained people.

If your goal is a long-running, governed process program with an architecture repository beside it, ADONIS is the stronger candidate.

Where ProcessMind takes a different approach

The differences are not cosmetic. They change what you can do in the first week.

One workspace instead of suite modules. In ProcessMind, the model you document is the model you mine against and the model you simulate. Conformance checking compares like with like, because the mining and the modeling share the same process. That connection is the platform’s core design choice, not an integration between products. There is no hand-off between a modeling tool and an analysis tool, and no separate module to license before you can see the mining view of a process you already documented: mining, dashboards, and simulation come together on one plan.

Adoption without a rollout. There is no implementation project to start, and a license is one seat, not a deployment. Import a log, and the analysis begins. The platform runs entirely in the browser, with no client to install and no environment to stand up. For teams that need an answer about a specific process (where cases wait, where rework happens, where the real process deviates from the documented one), the time from signup to insight is measured in hours, not weeks.

AI in the workflow. AI generation drafts models from text, AI documentation turns them into SOPs, and AI settings generate realistic simulation parameters from mined data. AI is metered in credits included with every paid plan rather than sold as a separate offering.

A modern, browser-first experience. Real-time collaboration, automatic BPMN layout, versioning with side-by-side comparison, and a portal where viewers see only released versions are all built in. A team that expects a modern SaaS experience gets it from the first session.

Published per-seat pricing with no minimum. ProcessMind publishes its prices, from €30 per seat per month for Process Foundation to €300 for Process Intelligence, with a free plan and a 14-day trial. One paid seat is enough to start, and you can cost a five-seat team in the pricing calculator before talking to anyone.

The trade-offs are explicit. ProcessMind has no out-of-the-box live connectors to source systems, its mining is case-centric rather than object-centric, and it does not import ADONIS’s proprietary ALP format. If those are hard requirements, ADONIS or an integration project may be the better route.

How do pricing and licensing compare?

Both vendors publish prices, which is unusual in this market, and both lists exclude VAT.

BOC publishes ADONIS pricing in euros: the Community Edition is free for one seat, ADONIS Starter starts at €99 per seat per month, and ADONIS Grow is €1,195 per month for five seats on annual billing. ADONIS Individual is quoted on request. BOC notes its prices are indicative and may vary by region and currency.

ProcessMind publishes three per-seat tiers: Process Foundation at €30, Process Architecture at €100, and Process Intelligence at €300 per seat per month, with a 15% annual discount in the standard band, plus a free plan and add-ons such as extra portal viewers. The 14-day trial covers the paid capabilities. The pricing calculator turns the tiers, the viewers, and the add-ons into an estimate for your seat mix.

Compare the scope you actually need rather than a single price line. The seat counts differ, the bundled capabilities differ, and the surrounding ecosystem (partner services, architecture and GRC modules, and rollout effort) is part of the total cost of adoption. Check BOC’s current pricing page before quoting either side.

What does each platform need before the first analysis?

The honest difference is in the data. ProcessMind analyzes event logs that you export from your systems or push through the API. There are no live connectors, so the first step is always a data export. For many teams that is a small task; for teams that want continuous, hands-free extraction from a live system, it is the main gap to plan around.

Starting ADONIS is a project: the suite, its environment, and usually a partner engagement come before the first analysis. That can mean the analysis waits on the rollout rather than on a data export. Neither model is universally better. The question is which cost you would rather pay first: a data pipeline or a rollout.

How should you evaluate the options?

Use a real process to test the fit. A demo can show an interface, but it cannot tell you how much work your data, process scope, and team structure will require.

1. Choose a process with a clear question. For example, identify where cases wait, where rework occurs, or how the actual process differs from the documented model.
2. Map the systems involved. List the systems that hold the relevant event data, and confirm what you can export and who owns the data.
3. Check the data preparation effort. Compare the work needed to make the event data usable in each platform, including export, transformation, and validation.
4. Test the process model. If you have an existing BPMN model, see how it fits into each platform. If you do not, assess how your team would document the process and keep it current.
5. Include rollout capacity in the decision. Identify who will configure, govern, and use the platform. A tool that fits your architecture still needs an owner.
6. Compare the full adoption scope. Consider the capabilities you will actually use, the implementation work, and the people required to sustain it.

This evaluation distinguishes a platform fit from a program fit. ADONIS is the program choice: a governed repository with architecture and GRC around it, staffed and rolled out as a project. ProcessMind is the start-small choice: one process, one log, one seat, with the option to grow seat by seat when the results justify it.

Review ProcessMind’s published per-seat pricing to compare its licensing shape with the scope of your evaluation, and estimate your seats in the pricing calculator.

For a practical starting point, review how process mining works in ProcessMind and what you need to prepare before analyzing event data.

Which platform fits your organization?

Choose ADONIS when your organization is commissioning a program: a governed process repository with ADOIT and ADOGRC around it, an analyst track record to cite, and the partner budget to staff a rollout. That is big-project territory, and ADONIS is at home in it.

Choose ProcessMind when you want to start small: one process, one event log, one seat. The process architecture and the event data stay connected in one place, models are checked against reality, and simulation runs on the mined baseline. The project grows seat by seat when the results justify it.

The deciding factors are your governance needs, data access, existing commitments, and the capacity to roll out and maintain the platform.

For the buyer whose project is an analysis rather than a program, the balance tilts toward ProcessMind: the core capabilities are comparable, the workspace is connected rather than assembled from modules, the start is self-service rather than a rollout, and the pricing is per seat with no minimum. ADONIS remains the stronger choice when the surrounding governance and architecture ecosystem is the point of the purchase. ProcessMind is the stronger choice when the process itself is.

If you are also comparing other process options, see how ProcessMind compares with SAP Signavio or compare ProcessMind with Celonis.

Connect your process architecture to your own data

One real process is the clearest way to judge whether connecting the architecture to the data works for your team. Start with a model you care about and an event log for the same process.