FAQ

ProcessMind is a process intelligence platform that integrates process modeling, process mining, and process simulation. It lets businesses visualize, analyze, and optimize their workflows by combining manual process design with data-driven insights. The platform helps organizations improve efficiency, simplify processes, and encourage collaboration among teams.

ProcessMind combines process mining and process modeling in one platform. You can start with data to build a model, or start with a model and attach data to it, and combine models and charts in dashboards to view all relevant KPIs.

ProcessMind ships on a monthly release cadence. Every release is documented in the release notes, known issues are published alongside them, and the public roadmap covers the next quarters, so you can see the direction before you commit rather than after.

The September 2026 release rebuilt the platform around the three tracks and changed how it is sold: per-seat, per-month, with seats you can mix freely inside one organization and no minimums. It added AI process generation, governance and publishing workflows, process documentation, value stream mapping, RACI and process quality, automatic process discovery, simulation with animation, process health dashboards, variant analysis and process compare, API and integration work, a new Help Center, and an early look at the AI assistant. The release notes list everything, including known issues.

Choose Process Foundation to document and standardize processes, Process Architecture to connect and govern them, and Process Intelligence to analyze and optimize them with data. Each track has a step-by-step getting-started path.

Process Foundation covers modeling and collaboration. Process Architecture adds hierarchy levels, documentation, governance, and the Process Portal. Process Intelligence adds process mining, process health, dashboards, and simulation. Viewer users are free.

No. Viewer users are free and never count against modeling seats: self-serve plans include up to 10 free portal viewers per paid seat, and Enterprise agreements can enable unlimited viewer access.

Every organization has a monthly AI credit pool per seat level: Process Foundation includes 500, Process Architecture 2,000, Process Intelligence 5,000, and Enterprise 20,000 credits, with larger Enterprise volumes negotiable. The free trial includes a one-time allowance of 100 credits.

Yes. Access is stored per environment, so the same person can hold, for example, a Process Intelligence seat in production and a Portal Viewer seat in a test environment. The organization user list shows the highest active access level a user holds across all environments.

Yes, and that is the intended way to buy: seats are per user and per month, and Foundation, Architecture, and Intelligence seats combine freely with no minimums. A typical team mixes a Foundation seat for the analyst documenting processes, an Architecture seat for the process owner, and an Intelligence seat for the mining team, with free viewer seats for everyone else.

Process Architecture and above. Architecture adds the governed lifecycle: review and approval states, publishing, the read-only Process Portal, role-based access control, the full audit log, documentation and artifacts, roles and RACI, value stream mapping, and process quality checks. Process Intelligence adds mining, dashboards, and simulation on top of that.

Single sign-on is included on every plan, with Microsoft, Google, and LinkedIn sign-in. Enterprise adds custom SSO for organizations that need their own identity-provider setup, multi-tenant environments, and organization statistics.

Start with Process Foundation and document one process end to end. You can generate a first BPMN 2.0 model from a plain-language description or an import, refine it on the canvas with drag and drop, invite the people who do the work, and keep versions of what changed. The Foundation Path in the docs walks through exactly that, and one seat is enough to prove it.

Process Architecture is your layer: architecture levels that mirror your hierarchy, documentation and artifacts attached to the model, roles and RACI, value stream mapping, process quality checks, review and publishing workflows, and a read-only Process Portal for everyone else. You get a governed, connected landscape instead of a folder of diagrams; the Architecture Path shows the order to do it in.

Upload an event log, map it to the model, and mine the real flow. From there you work with variants and conformance, dashboards and time metrics, process health scores, and simulation to test a change before anyone commits to it. The Intelligence Path covers the sequence, and the Case Explorer lets you follow a single case end to end when a number looks strange.

Yes. Enterprise adds multi-tenant environments with a dedicated environment option, organization statistics, APIs and integrations, the MCP server for AI tooling, model and process embedding, custom SSO, priority support, and a customer success manager, on top of the RBAC, SSO, and audit logs that every plan already includes.

The partner program is built for delivery: partner pricing, multi-tenant delivery so every client stays isolated, theming and white labeling for client-facing views, and templates that shorten an engagement. Service providers run client work on the same platform instead of rebuilding a method per customer; the partner page covers the commercial terms.

Yes. The Academic Alliance offers free licenses for teaching and research, with class-ready exercises and example data, under its own agreement. Educators work with the same modeling, mining, and simulation features as commercial teams, so students use the real tool rather than a trial sandbox.

Audit and compliance work needs evidence, and that is what the platform produces: conformance checking against the standard you defined, four-eyes control (segregation of duties) to find cases where the same person performed and approved a step, full audit logs, process classification, and documentation packs you can export and share.

It is the opposite. The platform is self-service, one seat is enough to start, viewer seats are free for everyone else, and ready-made templates and guides mean no methodologist is required. A small team typically starts with one process, proves the value during the trial, and grows seat by seat.

Ask for four numbers from the trial: cycle time, waiting time, conformance, and process health for one process, before and after a simulated change. The ROI calculator turns that into a business case built on your own figures rather than a vendor estimate, and the platform keeps measuring afterwards so the benefit can be proven later.

Yes. There are role and department guides for shared services and finance, supply chain, workforce productivity, order management, procurement, HR, and IT, each with the process to start from, the data you need, and an improvement path. Combined with the process templates and dashboards, you rarely start from a blank page.

You can start right away. All you need is a Microsoft, Google, or LinkedIn account to sign up and log in, a modern web browser (such as Chrome, Firefox, or Edge), and a basic understanding of process design/BPMN and data handling for process mining. Once you are set up, you can upload your data, build your process models, and analyze your workflows.

No, you don't need a credit card to start using ProcessMind. You can sign up for a free trial and start exploring the platform without any financial commitment. After the trial, your workspace moves to the Free plan and your data is kept; you can add seats or choose a subscription plan whenever you need more.

ProcessMind serves three roles: process modelers who document and standardize processes, process architects who connect and govern a process landscape, and analysts who improve processes with data. Viewer users get free read-only access to published processes.

You can start with the guided onboarding. There is a free trial available, and you don't need a credit card or technical expertise to begin.

No. ProcessMind works with the data you already have, including Excel files and simple system exports. You can map your data to a model and iterate as you go. There is no need for complex ETL or perfect data to get started.

ProcessMind combines process mining, modeling, and simulation in a single, integrated platform. You can design, analyze, and simulate processes without switching tools or dealing with enterprise complexity.

Modeling (a BPMN 2.0 canvas with VSM shapes, architecture levels, auto-layout, and version history), mining (the process graph, variants, conformance, filters, the case explorer, and process health), dashboards and metrics, simulation and what-if analysis, AI features (assistant, summaries, process generation, and data recommendations), documentation and governance (review states, publishing, and the Process Portal), collaboration (live editing, comments, and mentions), and integration (REST API, webhooks, and the MCP server on Enterprise).

Yes, and it needs very little from them. Anything that can export a table can feed ProcessMind, and anything that can send an HTTP request can talk to it: the REST API handles data and configuration, and webhooks notify your systems when processes, datasets, or simulations change. There is no appliance to install, no agent on your servers, and no connector to maintain.

The REST API, the data ingestion API, the simulation API, API key management, and webhooks come with Process Intelligence and Enterprise. On Enterprise they are backed by integrations, a dedicated environment, and priority support, and the same governed data is exposed to AI tooling through the MCP server.

Yes, on Enterprise. Model and process embedding lets you surface published processes and models inside your own applications, and the AI Knowledge Hub with Bring Your Own AI connects an assistant of your choice to the same process data through the MCP server and permission-aware APIs. Nothing bypasses the permission model: each user sees what their seat allows.

Yes. The platform supports more than ten languages, and this documentation is published in ten of them, including German, French, Spanish, Italian, Dutch, Portuguese, Turkish, Japanese, and Chinese. The content itself is in whatever language your models and data use.

No, they are part of the platform. Value stream mapping, roles and RACI, and process quality checks come with Process Architecture, and sustainability metrics (tCO₂e per activity) come with Process Intelligence as soon as your dataset has a CO₂ column. No separate tool is needed for any of them.

No. Ready-made process templates, dashboards, and step-by-step improvement guides cover the common processes and systems, and AI process generation covers the rest. Most teams adapt an existing template instead of modelling from scratch, which is a large part of why a first analysis fits into a session rather than a project.

Yes. ProcessMind lets you simulate different scenarios and forecast outcomes before you invest in changes. This helps you make smarter decisions and avoid costly mistakes.

Yes. ProcessMind is designed for team collaboration. You can share models, dashboards, and insights, and work together in real time.

Yes. ProcessMind is fully cloud-based, so you don't need to install anything. It is secure, scalable, and always up to date.

Yes. Themes and white labeling let you set the branding, general colors, BPMN element colors, VSM element colors, dataset colors, and chart colors per environment, and the Process Portal can publish read-only process views to viewer users under that branding.

You do not have to replace anything on day one. Existing BPMN models can be imported and the same event data uploaded, so ProcessMind can run alongside what you use today. Teams usually come for three reasons: modeling, mining, and simulation live in one place, so a finding becomes a documented and simulated change without leaving the platform; it is self-service, so you can start without a project or a consultant; and it is priced per seat, so a first analysis costs one seat rather than an enterprise contract.

That gap is what ProcessMind is built to close. Mining shows where reality deviates from the design, and the platform then keeps the change in the same loop: model the intended process, simulate the change against a baseline before committing to it, document the result, publish it to the people who do the work, and track process health afterwards so the improvement does not silently decay. The output of an analysis is a model and a measurement, not a slide.

No. Start, and let the platform tell you what actually needs fixing. Every dataset carries a quality score, AI data recommendations list the concerns they find and suggest mappings, and columns can be re-typed, reformatted, or hidden without re-exporting the file. Steps that exist but leave no trace in the data can be modelled so the process view stays complete. Imperfect data is the normal starting point; see Troubleshooting Data Issues for the symptom-by-symptom fixes.

Exports are enough to start, which is why no connector project is required. CSV, Excel, XES, Parquet, ORC, and JSONL files can be uploaded directly, including files that grow over time. When you want to automate, the REST API uploads datasets and requests presigned upload URLs, webhooks notify your systems when something changes, and on Enterprise the MCP server lets AI tooling work with your processes. Nothing in your source systems has to change.

You do not need them to start. Begin from data: map a dataset to a model and let the miner build the model from the flow, or describe the process in plain language and have it generated as a BPMN 2.0 model. From there the model is refined with drag-and-drop, and documentation, governance, and simulation all work from the same model. Modeling skills help later, not at the first step.

Start with one seat. There is a 14-day trial with no credit card, then per-seat pricing at the level you need, with AI credits included in every paid seat. Viewer users are free and never count against modeling seats, up to 10 free portal viewers per paid seat, with unlimited viewer access available on Enterprise. Academic projects can apply for a free license through the Academic Alliance.

There is nothing to install and no implementation phase: sign in, upload a file, and see a process. The guided onboarding, the three getting-started paths (Process Foundation, Process Architecture, Process Intelligence), the AI assistant, and the in-app documentation take a team through the first process without external help.

Then do not start with all of it. A sample of roughly a million events is usually enough to see how a process behaves, and segmenting by region, business unit, or product gives sharper answers than one global average. Large datasets are smaller and faster to process in columnar formats such as Parquet or ORC, and they can grow through incremental uploads instead of full re-uploads. The performance guide shows what each size costs.

Your models are standard BPMN 2.0 and can be imported and exported as such, your data stays in open formats (CSV, Parquet, ORC, XES, JSONL) and is reachable through the REST API, and the platform deliberately prefers SQL-based ETL over proprietary connectors. Nothing about the way you describe processes or extract data ties you to ProcessMind.

Run the trial on a real process and bring the numbers: cycle time, waiting time, conformance, and process health for that process before and after a simulated change. The ROI calculator turns that into a business case, and the platform keeps measuring afterwards, so the improvement can be proven instead of asserted. If the trial ends, the data stays in place and one member keeps full access on the free plan.

ProcessMind is built for that conversation. Customer data is stored in the European Union on AWS, and the legal pack includes a Data Processing Addendum, a sub-processor list, published security measures, an SLA, and disaster-recovery and incident-response documentation. Access is controlled per environment with seats, admin rights, SSO, and an audit log. The Security and Compliance group below covers the details.

Yes. Nothing you build is tied to a plan level: models, datasets, dashboards, and documentation carry over when you add seats or move to a higher track. Start with one environment and one process, add seats as more people need them, add environments to separate business units or test from production, and step up to Enterprise when you need unlimited viewers, custom AI credits, or an agreement.

Pick one process that has a clear start and end, runs often enough to produce a few thousand cases, and has a known pain point that someone owns. That combination shows results fastest and gives you a baseline to compare against. The getting-started paths walk through the first model, the first dataset, and the first analysis for exactly this situation.

That is a design goal, not a hope. Modeling is drag-and-drop, the AI assistant answers questions in plain language and proposes changes as reviewable diffs, and everyone who only needs to read processes gets a free viewer seat with access to the Process Portal. The documentation is published in ten languages, and the guided onboarding takes a new user from sign-in to a first process without training.

ProcessMind offers the same advanced insights and control as established enterprise process mining tools, but starts self-service and without the complexity or high cost. You can begin with one seat and grow into governance and enterprise agreements as your process landscape expands.

Yes. You can import your existing BPMN models and data into ProcessMind. The platform is designed to make migration straightforward and to help you get results quickly.

ProcessMind is built for people who already work with process diagrams. You can import your data and models, and use integrated mining, modeling, and simulation in one place.

ProcessMind is priced per seat, at four levels: Process Foundation, Process Architecture, Process Intelligence, and Enterprise. Every paid seat includes a monthly pool of AI credits, viewer seats are free, and the 14-day trial needs no credit card. Current per-seat prices and the feature comparison are on the pricing page; Enterprise agreements are quoted directly.

A seat is a user's access level in one environment, and it is also the unit you pay for. Process Foundation, Process Architecture, and Process Intelligence seats are billed per user; Portal Viewer seats are free and never count against modeling seats. Admin rights are separate from seats, so an administrator does not need one. Access is stored per environment, so one person can hold a different level in each environment.

Yes: 14 days with no credit card required. You get full access to the platform with your own data, plus a one-time AI credit allowance for the trial period. When the trial ends, the workspace continues on the free plan with your data intact and one member holding full process access, and you can add paid seats whenever you are ready.

No. ProcessMind is self-service: sign up, onboard, upload data, and start building. Sales only becomes relevant if you want an Enterprise agreement, and support is available throughout the trial.

Both monthly and annual billing are available, and you can upgrade at any time. Moving from an annual to a monthly plan takes effect when the current annual term ends. Seat changes are applied immediately on a monthly subscription; on an annual subscription you first see a Review and Confirm summary with the new amount, so the invoice impact is visible before you commit.

Payments are processed by Paddle. In Billing and Payments an admin can update the payment method, download past invoices, and maintain the business information and tax ID that appears on them. All prices are per user and exclusive of VAT. Payment currency and country are fixed in the app; contact support if that needs to change.

Your work is kept. You continue during a grace period and can renew from the Renew screen in the app. If the plan is not renewed, paid features become restricted, but processes, datasets, and dashboards remain intact, and the workspace continues on the free plan with one member holding full process access. An admin can move that access level to whoever needs it.

Yes: Portal Viewer seats. They give read-only access to published portal content, including the catalog, published models, and documentation, they are free, and they never count against modeling seats. Self-serve plans include up to 10 free viewers per paid seat, and Enterprise can enable unlimited viewer access.

Yes. Academic projects can apply for a free license through the Academic Alliance, and partners can join the partner program for commercial agreements. An Enterprise agreement can also include unlimited viewer seats on fair use, custom AI credit volumes, governance, and dedicated support.

Subscriptions can be changed or cancelled from Billing and Payments, and the Refund and Cancellation Policy describes how cancellations and refunds are handled, including your statutory rights. Because pricing is per seat, cost can also be reduced at any time by lowering an access level or deactivating a user instead of cancelling.

Yes. The Enterprise level adds unlimited viewer seats on fair use, custom AI credit volumes, governance for a large process landscape, the MCP server for AI tooling, and dedicated support under an Enterprise agreement. Organizations can run several environments to separate business units, production, and test, and manage everything from one organization account.

Self-serve plans include the documentation, guided onboarding, the AI assistant, and email support. Enterprise adds priority support with defined response times, a customer success manager, and strategic support during rollout, and the Service Level Agreement sets out the availability and incident-response commitments for eligible subscriptions.

The workspace keeps working: one member keeps full process access, everyone else can stay as a free viewer, and your processes, datasets, dashboards, and documentation stay in place. Paid seats can be added whenever the team is ready, and nothing has to be rebuilt when you do.

Credits are pooled per organization, reset monthly on paid plans, and unused credits expire at the end of the cycle; the trial uses a one-time allowance instead. A typical AI action costs between 1 and 50 credits depending on how much text the AI has to read or write. If the pool empties on a paid plan, usage continues with a notification and you are never charged beyond your plan; on the trial and the free plan, AI access pauses until the reset. Non-AI work keeps running in every case.

It depends on the process, so treat industry figures as expectations rather than promises: published ranges for process mining programs sit around 30 to 50 percent shorter cycle times and 10 to 25 percent lower process cost, and the discovery usually matters more than the percentage. The honest answer for your organization comes from a trial on one real process: your own baseline, a simulated candidate change, and a business case built on your numbers.

ProcessMind is cloud-native, so there is no on-premises deployment, and that is what keeps it fast: AI discovery, queries, and simulation run on elastic cloud capacity instead of on your own hardware. In practice this is rarely the blocker it sounds like. Customer data is stored in the European Union on AWS, event data can be filtered and anonymized before it is uploaded (names, invoice numbers, customer or employee IDs), SSO and per-environment access keep people inside their boundaries, and the API lets your own systems push data instead of relying on manual uploads.

Yes. Customer data is stored in the European Union on AWS, separated per environment in a multi-tenant architecture, and encrypted in transit and at rest. Access is controlled with seats, admin rights, Single Sign-On, and an audit log, and the legal pack (Data Processing Addendum, sub-processor list, published security measures, SLA, and disaster-recovery documentation) is published so your security team can review it before you sign up.

In the European Union. Customer data is stored on AWS in the EU (eu-central-1), the platform is operated with regional separation, and database backups are automated. The Privacy Policy and the Data Processing Addendum describe the storage, retention, and international-transfer position in detail.

Yes, nothing has to be negotiated first. The Data Processing Addendum, the sub-processor list (including the payment provider Paddle.com Inc), the published security measures, the Customer Agreement, the Service Level Agreement, and the disaster-recovery and business-continuity documentation are all available on the site.

Yes. Access is granted per environment as a seat, admin rights are separate, and a View analytics switch can grant dashboard access on its own. Processes carry a classification (Public, Internal, or Confidential), the Process Portal publishes read-only views to viewer users, and an admin-only audit log records who did what, when, and in which environment.

Treat the extract as personal data and strip what the analysis does not need before uploading: remove or mask names, addresses, and customer numbers, and keep user IDs only where resource analysis matters. Inside ProcessMind you can hide attributes you do not analyze, restrict access per environment, and rely on EU storage, while the quality panel shows how complete what remains is. The data cleaning guide covers anonymization and retention in practice.

The contractual Service Level Agreement defines the availability commitment, service credits, support channels, and incident-response times for eligible subscriptions, and the disaster-recovery and business-continuity document describes regional design, backup, and recovery objectives. Both are published, so they can be reviewed before you commit. If a payment fails, your subscription also has a grace period before paid features are restricted.

Our ISO 27001 and SOC 2 Type II programs are in progress. Until those certificates are issued, a security review can work from what is already published today: the security measures document, the Data Processing Addendum, the sub-processor list, the Service Level Agreement, and the disaster-recovery and business-continuity documentation. SSO, role-based access control, audit logs, EU hosting, and tenant separation are live in the product now.

The Data Processing Addendum states the retention rules: trial accounts are deleted thirteen months after the account was created, paid subscriptions ninety days after the end of the subscription term, and a Free plan keeps its data for as long as the account remains active. Backups are purged on their own retention windows. You can also export your models and data before you leave, so the decision is never irreversible in practice.

Yes. The platform is operated GDPR-first from the EU and ships the documents regulated buyers ask for: a Data Processing Addendum, a sub-processor list, published security measures, an SLA, a customer agreement, an acceptable-use policy, and a KVKK cross-border data transfer position paper. Customers with additional obligations, such as analyzing employee data or sector-specific rules, should confirm the fit with their own compliance team; the contracts are written to make that review straightforward.

Process mining is a technique that uses data from IT systems to discover, analyze, and improve business processes. It helps you see how work is actually performed, uncover inefficiencies, and find opportunities for improvement.

Process modeling is the practice of visually documenting how a process should work, using diagrams like BPMN. It helps teams communicate, train, and ensure consistency.

Process simulation lets you test changes and forecast outcomes before making real-world changes. It helps you make better decisions by showing the impact of different scenarios.

ProcessMind integrates all three. You can model your process, mine real data to see how it actually works, and simulate changes to predict results. This closed-loop approach enables continuous improvement and better business outcomes.

ProcessMind supports process optimization with three connected capabilities. Process Modeling: visually map out your workflows to understand the current state (As-Is) and design the future state (To-Be). Process Mining: ingest data from existing systems to analyze how processes are performed, uncovering bottlenecks, inefficiencies, and variations. Process Simulation: experiment with different scenarios and forecast outcomes before implementing changes.

ProcessMind provides a variety of support resources, including: Documentation: Step-by-step guides on using the platform's features. Customer Support: Dedicated support teams to assist with technical and operational questions. Onboarding: A guided onboarding wizard that sets up your account and helps you start your first process.

Yes, through open interfaces rather than a fixed connector catalog. The REST API covers processes, datasets, simulations, organizations, and search; API keys are scoped to read, write, uploadData, and sessions; webhooks send signed JSON notifications to your systems; and on Enterprise the MCP server exposes processes, datasets, and simulation results as tools for AI assistants. On the data side, files from any system can be prepared with the ETL tools you already use and uploaded as CSV, Excel, XES, Parquet, ORC, or JSONL.

ProcessMind includes real-time collaboration features that allow multiple team members to work on the same process models simultaneously. This live collaboration ensures that stakeholders, process owners, analysts, and other team members are aligned and can contribute to the improvement process. Sharing insights and updates directly on the platform keeps process improvements transparent.

ProcessMind helps sustain long-term improvements by providing a clear process documentation framework and ongoing collaboration tools. Once improvements are made, they can be standardized and documented using the process design canvas. Continuous monitoring of processes through mining and simulation allows teams to make incremental changes and keep improvements in place, ensuring long-term success.

ProcessMind is suitable for many industries and business sizes, from a small business improving internal workflows to a large enterprise optimizing complex processes. It is especially useful in industries where operational efficiency, process standardization, and collaboration are critical, such as manufacturing, finance, healthcare, and IT services.

ProcessMind supports change management by providing a structured approach to improving processes incrementally. It allows businesses to simulate changes before implementing them, reducing the risk of disruption. The platform also enables teams to collaborate on process models, ensuring that all stakeholders are aligned and engaged in the change process. By improving processes continuously, businesses stay better prepared for change.

Yes. ProcessMind lets you design and map your processes with BPMN 2.0 notation. You can customize your models with drag-and-drop functionality and collaborate with your team in real time to create a shared understanding of your processes.

To use ProcessMind effectively, you need data from your existing business systems, such as ERP, CRM, or ticketing systems. The key components for process mining are: Case ID, a unique identifier for each process instance. Activity Name, the steps or actions performed within the process. Timestamp, the time when each activity occurred. This data can be manually ingested into the platform, giving you control over which information is included in the analysis.

No. One export is enough to prove the value: a CSV or Excel file with case ID, activity, and timestamp produces a process graph. A warehouse becomes useful later, when you want the extraction automated and repeated. When that happens, use SQL-based transformations and upload the result through the API or as Parquet, and nothing about your first analysis has to be rebuilt.

Not by itself, and that is deliberate. Built-in connectors tie your data pipeline to one vendor, while an export you control is faster to set up and easier to audit. Extract the event data with the tools you already have (a report, a query, SQL, or an ETL tool) and upload it: exports from SAP, Oracle, ServiceNow, Salesforce, and Workday all work this way. If you want the step automated, the REST API can upload datasets and request presigned upload URLs, so a scheduled job replaces the manual upload.

ProcessMind is as current as the data you load: the process graph and dashboards always reflect the most recent upload. Most teams start with weekly or monthly extracts and then shorten the cycle. Incremental (delta) uploads append new events instead of replacing a file, and the API lets a scheduled job push data automatically when you want daily or hourly freshness. For second-by-second operational monitoring, ProcessMind complements your operational systems rather than replacing them.

Yes, ProcessMind can work with incomplete data. If certain activities or data points are missing from your datasets, you can use the process modeling features to manually fill in gaps. This flexibility allows you to create a complete process model even when some information is unavailable, ensuring that you still get valuable insights into your operations.

ProcessMind operates in a secure cloud environment. The platform uses data separation and tenant-specific environments to ensure that your data remains isolated, private, and secure. All data is handled in compliance with industry-standard security protocols, and only authorized personnel have access to your information.

ProcessMind runs on AWS with a fully serverless architecture, deployed with SST v2 and AWS CDK. The stack uses React on the frontend and TypeScript across the application.