Appian vs Flowable: which fits your team and your deployment constraints
Start here if your Appian renewal is coming up, you run self-managed Appian on version 25.3 or earlier and need to plan the next step, or a data residency rule means process data must stay inside your own network. The decision turns on who builds the user interface. Appian fits teams that want low-code screens, records, process models and governance in one commercial product, with the vendor carrying the platform. Flowable fits teams with Java or Spring developers who are willing to build the user interface themselves, because Flowable is a process and case engine rather than an application platform. Flowable's open source distribution covers BPMN process execution, CMMN case management and DMN decision rules through Java and REST APIs under Apache 2.0, but it does not ship the screens, record designer or application builder that Appian users rely on day to day.
Deployment constraints affect the choice as much as the feature list. Self-managed Appian moved to containers managed by Kubernetes starting with 25.4, and 25.3 is the last version that supports non-containerized deployment, so a team on 25.3 or earlier must either adopt Kubernetes or move to Appian Cloud to upgrade, according to Appian's Appian on Kubernetes FAQ. Flowable can be embedded in a Spring or Java EE application, run in a servlet container such as Tomcat or Jetty, or run as a standalone service over HTTP, so it does not require Kubernetes. Confirm with your own platform team whether Kubernetes is available and supported in your environment before you compare costs.
Before you choose, count the applications that need a user interface, list the Java and Spring skills your team can staff, and confirm whether Kubernetes is an option. If most processes need only task lists and a few forms, a Flowable build with a small front end may be proportionate. If you need many applications with records, reporting and governance built by business-facing teams, Appian's low-code model may remain the better fit, and the gap you would fill with custom code deserves a written estimate from your own engineers before you decide.
Which option fits which scenario
This table compares the situations where Appian or Flowable is the better fit, based on who builds the application, the Java stack in use, the Appian version, case management needs, deployment constraints and the size of the custom front end. Read each row as the condition under which that option wins, and treat the Flowable column as the choice that also requires engineers to build the user interface.
| Scenario | Better fit | Why |
|---|---|---|
| Business users need to build apps without developers | Appian | Appian's low-code environment is built for business-led application building, which Flowable's open-source engines do not provide. Flowable's commercial products add low-code modeling, but that is a separate purchase. |
| Java team with an existing Spring stack | Flowable | Flowable runs embedded in Spring applications or as a standalone REST service, so processes sit inside code your engineers already maintain and deploy. |
| Self-managed Appian on 25.3 without Kubernetes | Flowable | Appian 25.3 is the last version supporting non-containerized deployment, and upgrades past it require Kubernetes or Appian Cloud. Flowable runs on plain servers or containers, which changes the migration scope. |
| Need for CMMN case management | Flowable | Flowable's open-source engines include CMMN alongside BPMN and DMN. Confirm that the Appian features you rely on, such as case-style records and tasks, have equivalents you can build in your own code. |
| Air-gapped or strict data residency | Flowable | Flowable is Apache-2.0 licensed and runs in your own network with your chosen database. Appian self-managed also runs in your infrastructure, but confirm its dependencies, such as Kubernetes and its licensing, against your network rules. |
| Small number of processes with many custom screens | Flowable | Flowable provides the process and task engines but not the screens, so each custom interface is code your team owns. This suits a few processes with many screens only when front-end engineering capacity exists. |
Where the low-code gap shows up and what your developers build instead
The low-code gap is the part of Appian that is not a process engine. Appian packages process modeling, data types, record views, task forms, dashboards, user administration and deployment tooling in one product, so business analysts can change screens without a separate front-end project. Flowable provides the engines for BPMN process execution, CMMN case management and DMN decision rules, with Java and REST APIs. It does not provide the rest. Your team would build a front end of its own choosing, such as a Spring or JavaScript application, that renders task screens, forms, worklists, reports and administration pages against the engine APIs. Identity wiring, a relational data model for your business records and a reporting layer also become your responsibility. Flowable's open source page notes that its commercial Work, Engage, Orchestrate and Design products add low-code modeling, visual debugging and governance on the same engines, but open source users receive the engines and a community forum, with professional services and partners offered separately.
Before you choose Flowable, scope the front end in writing. List every screen a process participant or manager touches today in Appian, then classify each as a generic task form, a bespoke record view, a report or an administrative function. Count how many distinct form layouts your analysts change each quarter, because that rate determines whether you need a form-definition layer or can hard-code screens. Identify which identity source (for example, LDAP or an SSO provider) supplies roles, and confirm with your identity team how group membership reaches the application. Flowable's docs describe replacing the identity service through an interface or an LDAP reference implementation, which is a design decision your developers will own. Ask any implementation partner to quote the front end as a separate fixed-scope deliverable, so the cost is visible before the engine work starts.
Write the front-end scope against your actual process inventory, not a generic list. Illustrative example: a loan-exception process with three approval levels, one document upload and a monthly SLA report needs a task form per level, an upload handler that writes to your document store, and a report query, but it needs no custom case-management UI. Confirm which Flowable version you will pin before estimating, since Flowable 8.0.0 moved to Spring Boot 4 and Spring Framework 7 with no backward compatibility for Spring Boot 3, which affects the front-end stack you pair with it. Decide early who will maintain the screens after go-live, because that ongoing work, not the initial build, is where the low-code gap is felt most.
Where data lives and who operates the stack
Appian and Flowable differ most in who runs the platform and where process data sits. The cards below cover the hosting choice, how Flowable is deployed, where its data and identity live, how it is monitored, and who prepares compliance evidence. Check each one against your own residency and staffing constraints before you compare costs.
Appian Cloud or self-managed Kubernetes
Appian offers Appian Cloud, or a self-managed deployment that, from 25.4, runs only in containers managed by Kubernetes. Self-managed Appian on 25.3 or earlier cannot move to 25.4 or later without migrating to Appian on Kubernetes or Appian Cloud. Before you commit, confirm with Appian which hosting model your contract covers, who patches the cluster, and where your records and documents are stored.
Flowable embedded or run as a service
Flowable runs as a JAR inside a Java SE, servlet, Spring or Java EE application, or as a standalone service through its REST application. Embedding keeps the engine in the same deployment unit as your application, while the REST option gives multiple consumers one shared process service. Your team chooses the model, then runs it on plain servers or containers in your own data center or cloud account.
Process data in your own database
Flowable stores process state in a relational database that you select. The documented options include H2, MySQL, Oracle, PostgreSQL, DB2 and Microsoft SQL Server. Confirm which of these your DBA team supports, plus backup, encryption and retention settings. Note that MySQL versions below 5.6.4 lack millisecond precision, which affects timer accuracy.
Identity through IdmIdentityService
Flowable does not ship a full user directory for your business apps. You can replace identity management by overriding IdmIdentityServiceImpl or by implementing the IdmIdentityService interface, and the docs provide an LDAP identity service as a reference. Plan this early, because Appian's built-in user and group management is part of what you must rebuild. Confirm how your directory groups map to process roles.
Monitoring through the actuator endpoint
With the Spring Boot starters, Flowable exposes an actuator endpoint at /actuator/flowable for monitoring running processes. This feeds your existing metrics stack, but it is not a replacement for Appian's administration console. Ask your team which dashboards, alerts and audit views they need, then build them against the endpoint and your database.
Compliance evidence stays with you
Your team prepares the configuration, access, backup and change records for any compliance assessment, and you control where they are stored. DeployOpen prepares systems, controls and evidence but does not issue audit reports or certifications. Independent auditors and certification bodies make those determinations, so confirm early which evidence they will request from a self-hosted process stack.
Deployment paths for Appian and Flowable
Appian Cloud is the option where Appian operates the hosting environment and the platform lifecycle, and your team works inside the Appian application layer. Your responsibilities centre on application design, data governance within the platform, user access and change management for the apps you build. This path fits organizations that want low-code delivery without running container infrastructure, and that can accept a hosted environment under their data residency and audit requirements.
- Hosting operations: Appian runs the infrastructure, patching and platform upgrades for the cloud environment.
- Application ownership: Your team still owns process models, records, interfaces and integrations built on Appian.
- Data location: Confirm where business data, backups and logs are stored and which regions are available for your contract.
- Exit planning: Ask how application packages and data can be exported if you later move away from the platform.
- Compliance evidence: Ask Appian which assurance reports and control documentation cover the cloud service you buy.
Before committing, check the hosting region, the data export options and the evidence Appian provides for your assessments.
Self-managed Appian from version 25.4 runs only in containers managed by Kubernetes, so your organization becomes responsible for the cluster, the Appian deployment on it, and the surrounding database and storage services. Appian's documentation describes this as Appian on Kubernetes. This path fits organizations that already operate Kubernetes platforms with the skills, monitoring and security controls to run a stateful business application.
- Cluster operations: Your platform team owns node provisioning, Kubernetes upgrades, networking and storage classes.
- Platform upgrades: Appian releases are applied to your environment, so plan maintenance windows and test upgrades in non-production first.
- Database and backups: Your team operates the database tier and backup and restore procedures for Appian data.
- Security controls: Secrets, image provenance, network policies and access to the cluster fall to your security team.
- Support boundary: Confirm with Appian which components it supports on your chosen Kubernetes distribution.
Confirm your Kubernetes distribution and staffing against Appian's installation requirements before you choose this path.
Self-managed Appian 25.3 is the last version that supports non-containerized deployment. Environments on 25.3 or earlier keep receiving hotfixes for that version's support lifetime, but they cannot upgrade to 25.4 or later without moving to Appian on Kubernetes or Appian Cloud. This path fits organizations that run Appian on traditional servers today and need time to prepare their container platform, while accepting that the upgrade path is a future decision with its own migration work.
- Current operations: Your team keeps running the existing server topology, patching and hotfixes for the installed version.
- Upgrade blocker: The jump to 25.4 or later requires Appian on Kubernetes or Appian Cloud, so the decision has a deadline set by your support lifetime.
- Support timeline: Ask Appian for the end-of-support date for your specific version before planning.
- Hotfix process: Confirm how security hotfixes are delivered and how fast your team can apply them.
- Parallel planning: Assess whether to build the container platform now or to start a migration to a different engine.
Check the support lifetime for your version and the migration options Appian offers before you decide to stay on this path.
Flowable is an Apache-2.0 Java engine for BPMN, CMMN and DMN, and it can be used in three forms: embedded as a JAR in a Java SE application, servlet container, Spring application or Java EE server, run as a Spring Boot service using the engine starters, or used over HTTP through the Flowable REST application. Your organization owns the application, the hosting and the user interface in every form. This path fits teams with Java skills that want the process engine inside their own service or as a shared service on plain servers or containers.
- Embedded JAR: The engine runs inside your application and shares its lifecycle, deployment and database connection.
- Spring Boot service: Starters cover all engines, REST, and individual process, CMMN and DMN engines, with an actuator endpoint at
/actuator/flowablefor monitoring. - REST application: A standalone service exposes the engines over HTTP, which suits multiple client applications calling one process service.
- Clustering: The async executor coordinates nodes through lock owners and expiry times stored in the database, so confirm your database and node topology supports it.
- Identity: Identity management can be replaced through a custom service or the LDAP reference implementation.
Match the form to your team's Java and Spring skills, and check the supported database types in the configuration documentation before you design the deployment.
Licensing and editions: what Flowable open source includes
The core Flowable engines for BPMN, CMMN and DMN are licensed under Apache 2.0, and that license covers the open-source engines and their REST APIs. Flowable also sells commercial editions, including Flowable Work, Engage, Orchestrate and Design. Those products are built on the same engines and add low-code modeling, visual debugging, security controls, monitoring and governance. Open-source users get a community forum, while professional services and partners are offered separately. Before you compare totals, list which of those capabilities your Appian contract currently uses, because each one you need from Flowable may sit in the commercial tier rather than the engine.
The version line matters for planning. Flowable 7.0.0 moved to Java 17, Spring Boot 3 and Jakarta EE, and it removed the UI applications, the form and content engines, the Mule integration and async history, so any screen or form work you once relied on inside the platform must be rebuilt in your own application. Flowable 8.0.0, released on February 27, 2026, moved to Spring Framework 7 and Spring Boot 4 with no backward compatibility for Spring Boot 3, uses Jackson 3 as the default JSON library with a Jackson 2 compatibility layer, and dropped JUnit 3 and 4 support. Check your own Spring Boot and Java baseline against these requirements before you pick a target version.
Two items sit outside what open source can settle for you. First, confirm which Appian licensing metric applies to your contract, such as per user, per app or per environment, and ask your Appian account team to show how that metric maps to your current deployment. Second, check Flowable's current license terms, support options and any commercial edition pricing directly with Flowable, since commercial terms and edition contents can change between releases. Ask for those answers in writing so the comparison rests on your contract and your vendor's current terms, not on assumptions.
What drives the cost of each option
What does an Appian subscription cost and what drives it up?
Appian is licensed per user, per month, per app, so the subscription scales with how many people use the platform, how many applications you run and the edition you buy. Hosting is either Appian Cloud, which is bundled into the subscription, or self-managed, where you pay for the infrastructure and the Kubernetes platform that Appian requires from version 25.4. This cost recurs every month or year for as long as you stay on the platform. Ask Appian or your reseller for the exact per-user and per-app terms, the hosting model, and which environments (production, test, disaster recovery) are included.
Does Flowable software cost anything to license?
The Flowable open-source engines for BPMN, CMMN and DMN are licensed under Apache 2.0, so there is no license fee for the engine software itself. The cost sits elsewhere: the people who build and run it, the infrastructure it runs on, and any commercial add-ons or support you choose. Flowable also sells commercial editions such as Flowable Work, Engage, Orchestrate and Design, which add low-code modeling, visual debugging and governance. Those carry their own license terms, so confirm with Flowable which components you actually need before assuming the open-source path covers everything.
What infrastructure costs come with a self-hosted Flowable deployment?
Infrastructure is the recurring cost you pay directly to a cloud provider or data center. It includes application servers or containers, a supported production database (Flowable documents PostgreSQL, MySQL, Oracle, DB2, Microsoft SQL Server and H2 as database types), backups, monitoring, and separate environments for development, testing and production. Costs rise with process volume, the number of nodes the async executor coordinates, retention of history data, and high-availability requirements. Ask your cloud or hosting team to price each environment, and confirm which database edition your organization already licenses.
How much does rebuilding Appian applications in Flowable cost?
The rebuild is usually the largest one-time cost, because Flowable provides engines, not a visual application builder. Your team or a partner must recreate process models, forms, user interfaces, record views and reports that Appian currently provides out of the box. Effort depends on the number of applications, the complexity of their interfaces, the amount of custom Appian logic (SAIL expressions, rules and integrations) and how much of the front end you want to rebuild rather than replace. Ask for an effort estimate per application, grouped by process, screens and integrations, and ask what is excluded from the fixed scope.
What front-end and integration work is needed after moving off Appian?
Front-end development and integration work are one-time costs that often go unbudgeted. Flowable exposes Java and REST APIs, so the user interface, task lists, dashboards and any identity integration must be built or chosen separately. Identity can be connected by implementing the IdmIdentityService interface, with an LDAP reference implementation supplied in the docs. Each external system that Appian currently calls or receives data from needs an adapter, tests and monitoring. Costs rise with the number of integrations, the number of user roles and the level of design work expected. Ask for a per-integration breakdown in any proposal.
What does commercial Flowable support cost compared with a retainer?
Support is recurring and can take two forms. Flowable offers commercial support and professional services for its products, and partners provide services separately, which the open-source community forum does not cover. A retainer with an implementation partner is a separate contract that can cover upgrades, patching, incident response and continuous testing on a fixed or monthly basis. Costs depend on the service level you need, the number of environments, and whether you want the vendor or a partner to own production issues. Confirm response expectations in writing and ask whether the quote includes Flowable version upgrades such as the move to Flowable 8.0.0.
What ongoing engineering staff does a self-hosted process platform need?
Ongoing engineering is the recurring cost that most often decides whether the move pays back. It covers the people who maintain process models, fix defects, upgrade Flowable and its Spring or Java dependencies, manage the database and the async executor, and respond to business change requests that Appian's low-code tooling would otherwise handle. Costs rise with the number of processes, the rate of change, and the depth of Java skill in your team. Costs fall when models are standardized, automated tests are in place and runbooks are maintained. Ask who owns each role after go-live and what the skills gap looks like.
Which costs are one-time and which recur when moving off Appian?
One-time costs include the application rebuild, front-end development, integration adapters, data migration from Appian records, testing, and initial infrastructure setup. Recurring costs include the infrastructure bill, any Flowable commercial license or support, retainers, and the engineering staff who maintain the platform. Appian subscription fees stop only after the last application is retired and the contract ends, so the overlap period is a real cost to plan for. Ask the implementation partner to split the proposal into one-time and recurring lines, with the exit date for the Appian contract stated.
How a move from Appian to Flowable is structured
The sequence turns an Appian estate into an inventory, a set of rebuilt Flowable process and decision models, a front end and integrations, and a verified cutover that moves one application at a time.
Inventory the Appian application estate
Start by listing every Appian application, process model, record type, interface, integration and plug-in. Use the Appian package exports as the starting inventory, then compare them against what the business actually runs, because some process logic often lives in interfaces, rules or scheduled jobs that are easy to miss. Ask your Appian administrators and process owners to confirm the list. The step is complete when each application has an owner, a business process it supports, and a rough dependency map showing which applications call each other and which external systems they reach.
Rebuild process and decision models in BPMN and DMN
Redraw each in-scope process as a BPMN 2.0 model that Flowable can execute, and move business rules that Appian implements as decision logic into DMN tables. Process analysts and engineers work from the inventory and validate each model with the process owner, since rebuilt models often expose unclear ownership or exception paths that the original Appian flow hid. The step closes when each model deploys to a Flowable test environment and the process owner signs off on the path, the exceptions and the decision tables.
Design the data and task model
Appian records, data store entities and process variables do not move automatically with the process models. Map each Appian record type and data store table to a relational schema that your team owns, decide which data Flowable stores in its own database tables, and define how process variables link to business entities. Document where each piece of business data lives after the move. The step is complete when the data map is reviewed by the data owners and security team, and every field that carries personal or regulated data has a documented location and access rule.
Build the front end and user tasks
Flowable executes the process and exposes tasks through its APIs, but it does not replace the screens users work in. Your developers build the task lists, forms and reporting views that Appian interfaces provided, using the front-end framework your organization already supports, and connect them to Flowable's REST endpoints or embedded Java API. Test these screens with real users on the rebuilt models. The step is complete when each in-scope task can be started, completed and audited end to end, and accessibility and permission checks have been run against the same role model Appian enforced.
Replace Appian integrations and identity
Rebuild each integration that Appian connected, such as APIs, message queues, email, document stores and identity lookups, as explicit services in your own code or integration layer. Replace Appian's user and group logic with your directory service, using Flowable's identity service extension points to connect it. Confirm that each external call has an owner, an error path and a retry behavior. The step closes when every integration in the inventory has a documented replacement and passes tests against non-production copies of the external systems.
Run parallel validation
Run the rebuilt Flowable process alongside Appian for a selected set of cases, comparing outcomes, timing, task assignments, decision results and data written to the business stores. Reconcile differences with the process owners and fix the models or integrations where the behavior diverges. Record the results in a validation log that auditors and the business can review. The step is complete when the agreed set of cases matches the expected results, and the open differences are accepted in writing by the process owners.
Cut over application by application
Move one application at a time, starting with those that have the fewest dependencies, and keep Appian available as a fallback until the cutover criteria are met. For each application, confirm data migration, switch the users and integrations, and retire the Appian version once in-flight work has finished or been moved. Operations teams monitor the Flowable async executor, database and logs during each move. The step closes when the application runs fully on Flowable, the rollback plan has been tested, and the owner has accepted the handover to operations.
Questions buyers ask before choosing Flowable over Appian
How much does moving from Appian to Flowable cost, and what drives it?
The cost depends mainly on how many Appian applications you run, how much of each is low-code interface versus process logic, and how many integrations sit behind them. Appian costs are recurring subscription or hosting fees, while a Flowable move is mostly one-time: engineers rebuild process models, forms, front ends and integrations, then you carry recurring costs for hosting, support and ongoing engineering. Flowable's open-source engines carry no license fee, but a commercial Flowable subscription or professional services change the total. Ask any provider for a quote that splits build, data migration, testing, hosting, support and internal staff time, and that states which applications are in scope.
How long does an Appian to Flowable migration take?
Duration depends on the number of applications, their process complexity, the amount of business data to move, and how many systems each process calls. We do not give a timeline here because it changes with those inputs and with how many screens your team wants to keep. A practical way to size it is to inventory each Appian application, rank them by business value and dependency, and move them in waves. Ask for a timeline in the written scope, with milestones for process rebuild, data migration, integration testing and cutover for each wave.
What does the move require from our developers and architects?
Flowable is an engine, so your developers must build what Appian provides out of the box: user interfaces, forms, task screens, reporting and the glue between services. Architects need to decide where the engine runs, how it connects to your identity provider and database, and how it scales. Java and Spring skills are the core requirement, plus front-end skills if you build the interface yourself. If your team has limited Java experience or no front-end capacity, plan for that gap before committing to a date.
Can our internal team migrate from Appian to Flowable without a partner?
An internal team can do it if it has Java engineers familiar with BPMN, CMMN and DMN, a database administrator, a front-end developer and time to rebuild the interfaces. The condition that changes the answer is capacity: if the same people also run production Appian, or if the process estate is large and tightly integrated, the work usually needs outside help. DeployOpen plans, implements, customizes, integrates, hardens, backs up and documents self-hosted platforms in your own infrastructure, and most engagements are fixed-scope with scope and deliverables agreed in writing before work starts.
Can Flowable replace Appian's low-code interface?
Not directly. Flowable's open-source engines provide BPMN, CMMN and DMN execution with Java and REST APIs, but they do not include the visual application builder, record management and interface designer that Appian offers. Flowable's commercial products add low-code modeling, but that is a separate purchase. For the open-source route, the gap is filled by custom user interfaces, typically built with a web framework of your choice, along with your own reporting and data layer. Map each Appian screen to a task, form or report before you commit, and confirm which commercial Flowable components, if any, you need to cover the low-code parts.
What happens to our Appian 25.3 environments?
Appian 25.3 is the last version that supports non-containerized deployment. Self-managed environments on 25.3 or earlier continue to receive hotfixes for that version's support lifetime, but they cannot upgrade to 25.4 or later without moving to Appian on Kubernetes or Appian Cloud. This matters for timing: if you plan to leave Appian, you still need a plan for the years in which the current version receives support. Confirm your exact support end date with Appian, and check whether a move to Flowable would start before or after you need to decide on a Kubernetes upgrade.
What operational work does Flowable add that Appian handled for us?
You take on the operations Appian previously covered: deploying the engine, configuring a supported database such as PostgreSQL, Oracle or Microsoft SQL Server, monitoring running processes and patching. Flowable's async executor coordinates multiple nodes through lock owners and expiration times stored in the database, so you need to size the database and test failover. Flowable's Spring Boot starters expose an actuator endpoint for monitoring. Ask any provider to document backup, restore, upgrade and on-call responsibilities before cutover, since these recur every month rather than once.
How to decide before you ask for a quote
Start by counting the applications that need a user interface, not only the processes. In Appian, a process model often arrives with its screens, records and permissions already attached, so the team may not have separated them. With Flowable, the BPMN, CMMN and DMN engines run the orchestration, while your developers build every screen, form and role-based view. List each application, its user groups and whether its screens are simple task forms or full case workspaces. That list drives the front-end estimate more than the process count does, and it is the first thing a scope of work must reflect.
Next, be honest about the skills you already have. Flowable is a Java engine, and its Spring Boot starters and REST APIs assume people who can write and operate Java services, configure a relational database and manage identity integration. Check whether your team has that depth, whether you have front-end engineers, and who will own the engine after go-live. Also confirm your Kubernetes readiness. Flowable can run embedded in an application or as a standalone service on plain servers or containers, so Kubernetes is a choice rather than a requirement, but if you already run Appian on Kubernetes, the platform team's existing tooling and on-call rota will shape the design. Note the Appian version you run: 25.3 is the last release that supports non-containerized deployment, and the Appian on Kubernetes FAQ in the Appian documentation is the place to confirm your upgrade path.
Then settle the constraints that a vendor cannot decide for you: data residency, the renewal date and the contract terms. Confirm where process data, attachments and audit logs must physically live, and which regulator or customer clause applies. Establish your renewal notice period and the date by which a decision must be made, because a parallel run needs time. A written scope of work should state the applications in scope, the screens each one needs, the integrations to replace, the database and hosting environment, the identity source, the test and cutover approach, and who supports the system after handover. Ask any partner to show how that scope will be fixed and priced before work starts, and ask Flowable's licensing terms and any commercial support tier you are considering against your actual requirements, not against a generic comparison.
How DeployOpen helps evaluate, implement or migrate
DeployOpen plans and implements self-hosted open-source process platforms inside your own cloud accounts, data centers or air-gapped networks. For Appian vs Flowable, we start with a written scope that separates the process engine work from the front-end and data work, so you can see what Flowable will and will not replace out of the box.
How we scope
- Inventory your Appian process models, records, integrations and user interfaces before any engine choice is made
- Agree in writing which workflows move to Flowable BPMN, CMMN or DMN engines and which need custom screens
- Engagements are fixed-scope, with deliverables and timelines confirmed before work starts
How we build
- Model BPMN processes and DMN decision tables on Flowable, deployed to your chosen Java and database stack
- Build the task interfaces and reporting your teams need, using the front-end approach agreed in scope
- Configure the async executor, identity integration and monitoring endpoints to run safely across nodes
How we hand over
- Document process models, configuration, deployment steps and the data migration runbook for your team
- Provide test evidence for each migrated workflow and the controls that support your compliance assessment
- Train your engineers to change models and releases; independent auditors remain responsible for any attestation
How we support
- Offer ongoing support, upgrades and continuous testing as a retainer after handover
- Plan Flowable version upgrades against the release notes and your regression tests before each change
- Confirm support terms, backup scope and response expectations in the written agreement

