How enterprises manage projects with full data sovereignty

Your project database can sit inside your own data center while the surrounding system still reaches far beyond it. AI endpoints, integrations, authentication services, support workflows, telemetry, licensing, backups, and updates can each introduce another connection, another processor, or another jurisdiction into the path your project environment depends on.

For enterprises with strict sovereignty requirements, the real work is tracing those connections and deciding which ones are acceptable. This guide looks at how that plays out across project delivery, access controls, AI, self-hosted and airgapped deployments, operational ownership, and the checks security and procurement teams should run before production.

What full data sovereignty requires from a project management system

Data sovereignty is often discussed alongside data residency and data localization. The terms overlap, although each answers a different question.

For project management systems, the boundary extends well beyond the primary database.

A typical deployment can involve the application itself, databases, uploaded files, backups, search indexes, logs, integrations, authentication services, notification systems, telemetry, licensing infrastructure, software updates, and AI inference endpoints. Any one of those components can create a data flow outside the environment where the core application runs.

That gives enterprises a more useful way to evaluate sovereignty:

Application → database → attachments → backups → integrations → telemetry → licensing → updates → support access → AI inference → audit data

The goal is to understand the full path that project information can take.

With Plane, organizations that require customer-controlled infrastructure can deploy the Commercial Edition within their own environment. Plane also provides an Air-gapped edition for environments that require operation without an external network path. Plane states that self-hosted deployments run inside the customer's perimeter, with license and seat synchronization as the required outbound calls for connected Commercial installations, while its Air-gapped edition operates without external connectivity.

That distinction matters because project data includes far more than formal documents. Roadmaps, comments, Work Item descriptions, customer context, implementation decisions, dependencies, delivery risks, internal discussions, and operational history can all reveal sensitive information about how an organization works.

For a sovereignty-sensitive enterprise, the project management platform becomes part of the organization's security boundary.

How enterprises keep project work inside infrastructure they control

A sovereign project management environment still has to support everyday delivery. Teams need to plan work, coordinate execution, document decisions, monitor progress, and collaborate across projects without moving the system of record into infrastructure they cannot govern.

Deploy Plane inside customer-controlled infrastructure

Plane Commercial can run on infrastructure owned or controlled by the customer, including Docker and Kubernetes environments. Plane also supports deployment approaches such as Docker Swarm and managed infrastructure platforms, depending on how the organization operates its internal systems. For Docker Compose deployments, Plane's current self-hosting documentation lists a minimum of 2 CPU cores and 4 GB of RAM, with 8 GB of RAM recommended for production. Infrastructure requirements can vary with the deployment method, scale, and surrounding services.

Once Plane runs inside that environment, the customer controls the surrounding infrastructure decisions, such as:

• Network topology and firewall policy
• Database and object-storage configuration
• Backup location and retention
• Infrastructure-level encryption
• Access to servers and clusters
• Internal DNS and certificates
• Monitoring architecture
• Upgrade timing
• High-availability design

Plane's privacy policy states that customer data in self-hosted deployments remains in the customer's environment and that Plane has no access to the customer's instance or its data during normal operation. Diagnostic information can still be shared voluntarily when a customer engages support.

That gives infrastructure teams a clear control boundary. Plane provides the application, while the enterprise determines how and where the environment is operated.

Keep the project system of record inside the same boundary

The value of self-hosted project management comes from keeping the actual working context of delivery within that controlled environment.

Plane brings together Projects, Work Items, Cycles, Modules, Pages, Wiki, Milestones, dependencies, attachments, Views, Dashboards, and related execution data. Plane also supports Initiatives and configurable Work Item hierarchy for organizations managing work across multiple levels.

That means a team can keep information such as:

• Project plans
• Requirements
• Work Item descriptions
• Assignees and ownership
• Comments and activity
• Attachments
• Dependencies
• Cycle plans
• Milestone information
• Project documentation
• Internal decisions
• Delivery status
• Operational Dashboards

Within the same infrastructure boundary.

This matters in environments where even seemingly routine project metadata can be sensitive. A list of unfinished work might expose an upcoming product capability. A dependency map can reveal system architecture. A milestone can disclose a launch date. An internal Page can contain implementation details that would never appear in a formal document repository.

Data sovereignty therefore needs to cover the working layer where teams coordinate execution every day.

Audit the full data path before production

Before rolling out a self-hosted project management platform, infrastructure teams should map every system involved in the deployment.

At minimum, ask:

• Where is the primary database hosted?
• Where are attachments stored?
• Where are search indexes stored?
• Where are backups written?
• Which integrations communicate externally?
• Does licensing require an outbound connection?
• Is telemetry enabled?
• Where do notification services run?
• Where does AI inference happen?
• What diagnostic information could be shared during support?

A strong sovereignty review follows project information through the entire architecture instead of stopping at the application server.

How teams run day-to-day project delivery in a sovereign environment

A sovereign deployment still has to support the way teams plan, execute, document, and report work every day. Plane keeps those activities inside the customer-controlled environment while giving teams planning structures that can span portfolio objectives, projects, and individual work items.

Several capabilities in this section are plan-dependent, so enterprise buyers should confirm availability for the specific self-hosted plan they are evaluating.

Connect Initiatives to executable work

Large programs operate across several levels. Leadership may track strategic initiatives and major delivery dates, while individual teams work through features, tasks, bugs, and shorter execution windows.

Plane uses several planning structures, each with a distinct role. Initiatives can bring related projects and work items together under a broader objective. Within projects, work items can use parent-child relationships.

On Enterprise Grid, Workspace Admins can define Work Item Types at the workspace level and configure Hierarchy rules that control which types can be nested under others. Modules group related work, Cycles organize work into time-boxed periods, Milestones align linked work items around target dates, and dependencies capture sequencing between work items.

An enterprise launching an internal payments platform could organize the work across these structures:

• Initiative: Launch a new internal payments platform
• Connected projects: Core payments service, risk and compliance workflows, merchant migration
• Modules within projects: Authentication, settlement, reporting, migration tooling
• Milestones within relevant projects: Internal pilot, regulatory review, production launch
• Work items across those projects: Design tasks, implementation work, security reviews, testing, documentation, and migration tasks

This gives leadership a higher-level view of the program while teams continue managing detailed work inside their projects. Dependencies and work item relationships preserve the connections between pieces of execution that need to move in sequence or stay coordinated.

Execute through the workflows teams already need

As delivery moves forward, Plane work items can capture state, priority, assignees, estimates, comments, attachments, relationships, and other execution details.

On Pro and Business, Work Item Types are managed at the project level. On Enterprise Grid, Workspace Work Item Types provide centralized governance across projects.

Teams can then organize and view that work in different ways:

• Cycles for time-boxed execution
• Modules for related streams of work
• List, Board, Calendar, Table, and Timeline for different planning and review needs

Engineering teams may work primarily from work items and Cycles. Program managers can follow Milestones, dependencies, timelines, and cross-project Initiatives. Leadership can use Initiatives and Dashboards for a broader view of progress.

Keep project knowledge beside execution

Project context can become fragmented when delivery tracking, specifications, decisions, and operational notes live across different systems.

Plane provides Pages for Project-specific documentation and Wiki for knowledge shared across the Workspace.

• Pages can hold specifications, technical decisions, implementation notes, meeting outcomes, and process documentation. Work Items can also be embedded inside Pages to keep execution context close to the supporting documentation.
• Wiki provides a Workspace-level knowledge layer for architecture guidance, operating procedures, policies, and technical references that need to remain useful across Projects.

For sovereignty-sensitive teams, keeping this knowledge inside the same self-hosted environment can reduce the need to maintain project documentation in a separate cloud service. Access should still be configured according to the sensitivity of the material.

Track progress without rebuilding the data elsewhere

Reporting can create additional copies of project data when teams rely on spreadsheets, presentation decks, or manually maintained status reports.

Plane provides several ways to work with delivery data inside the platform:

• Project views for day-to-day execution visibility
• Milestones and Cycle-level progress for delivery tracking
• Plane Query Language (PQL) for structured work item queries
• Dashboards for charts, metrics, and tables across selected projects
• Dashboard-level PQL filters for refining the data shown

Dashboard data is computed from the current state of work items when the Dashboard is opened.

Keeping routine delivery reporting inside Plane can reduce the number of secondary copies teams create to understand progress, making the overall data boundary easier to govern.

How enterprises control access to sensitive project environments

Infrastructure ownership determines where Plane runs. Identity, permissions, and audit controls determine who can access that environment, what they can do, and how security-relevant activity can be reviewed.

Connect Plane to enterprise identity systems

For self-hosted Plane, the docs document OIDC SSO and SAML SSO. Enterprise Grid adds LDAP authentication and IdP Group Sync.

IdP Group Sync is available for self-hosted Commercial and Airgapped Editions. It can map identity provider groups to:

• Workspace roles
• Project access and Project roles
• Private Wiki collection access

Access can then follow group membership in the organization's identity provider, reducing manual provisioning and offboarding. Plane supports group syncing with OIDC, SAML, and LDAP, with one active provider per Workspace.

Instance admins manage authentication and other instance-level settings through God Mode, including which SSO and OAuth services users can use to sign in.

Apply permissions at the level where work happens

Plane uses Role-Based Access Control (RBAC) by default. On Enterprise Grid, Granular Access Control (GAC) adds custom roles built from reusable permission schemes.

Workspace and Project roles are separate. A user can, for example, be a Workspace Member while holding the Admin role in a specific Project. This gives enterprises room to design access around operational boundaries:

• A central program office can hold broader Workspace access.
• Engineering leads can administer the Projects they manage.
• Contractors can be limited to selected Projects with lower-privilege roles.
• Sensitive Projects can maintain narrower membership.
• Project Admins can review Project Audit Logs for their Projects without access to the Workspace Audit Log.

Instance administration remains a separate layer controlled by Instance admins through God Mode.

Keep security-relevant activity reviewable

On Enterprise Grid, Plane provides Workspace Audit Logs and Project Audit Logs for security-relevant administrative activity.

• Workspace Audit Logs cover events such as sign-ins, membership and role changes, Workspace settings, API token activity, and webhook changes. Entries are append-only and tamper-evident, with cryptographic chaining that can be verified through the audit log API.
• Project Audit Logs provide a Project-scoped view of configuration, membership, role, permission, and other supported Project events.
• Work item activity provides item-level history for changes and comments, separate from the administrative Audit Logs.

AI clients introduce an additional logging boundary. When an external AI client uses Plane through the MCP server, Plane applies the authenticated user's Workspace and Project roles to every read and write. The MCP server's structured logs capture the tool name, duration, status, opaque user ID, and Workspace slug.

Organizations that require evidence beyond those fields, such as prompt history, delegation chains, or client-side approval events, should include the surrounding AI client or gateway in their logging design.

How enterprises use AI without giving up sovereignty over project context

AI introduces another path through which project data can be processed. A self-hosted deployment may keep Plane and its primary data inside the enterprise while sending selected context to an external model, so the AI architecture needs its own security review.

Start with the project context Plane AI can access

Plane AI can use the workspace context available to the user's account. Depending on the request, that can include:

• Work Items: properties, descriptions, comments, history, state, assignees, labels, priority, and dates
• Projects, Cycles, Modules, Views, Teamspaces, and Initiatives
• Pages and their content
• Members, Workspace roles, and assignments
• Web content, when web search is enabled
• External systems, when connected through MCP connectors

Access remains scoped to the user's Plane permissions. Plane AI cannot access Workspaces the user does not belong to, and Page access follows the documented Page access rules.

The amount of context involved also changes with the task. Generating a Work Item description can use a narrow input, while summarizing a Project or answering a Workspace-level question requires broader retrieval across project data.

Choose where Plane AI runs and where inference happens

Self-hosted Plane AI runs as a separate service inside the customer environment. Its current architecture requires OpenSearch, a dedicated Plane AI database, and read access to the main Plane database. These components should be included in the enterprise's data-flow and infrastructure review.

For model inference, self-hosted Plane supports several configurations:

• OpenAI or Anthropic: customers configure their own provider credentials.
• AWS Bedrock: organizations can configure a Bedrock model as a custom LLM.
• OpenAI-compatible endpoints: Plane supports compatible endpoints, including models served through runtimes such as Ollama, Groq, or LiteLLM.
• Local inference: An OpenAI-compatible local runtime such as Ollama can keep model inference inside customer-controlled infrastructure.

Current self-hosting documentation allows OpenAI and Anthropic credentials alongside one custom LLM. The custom model can use an OpenAI-compatible endpoint or AWS Bedrock.

Teams planning local inference should also validate model capability and infrastructure requirements. Plane's current self-hosting documentation recommends a custom model with at least 1 trillion parameters for all Plane AI features to work reliably.

For the Airgapped Edition, AI features that depend on an external provider require a locally hosted model. Plane's legal terms state that Plane has no access to or visibility into AI processing performed by that local model.

Define how AI data is handled

Plane states that Customer Data, including AI inputs and outputs, is not used to train, fine-tune, or improve general-purpose AI models unless separately agreed in writing.

The provider relationship also matters. On self-hosted deployments, data moves directly between the customer's infrastructure and the configured AI provider. Plane does not act as an intermediary for that connection, and the customer is responsible for the terms and controls of the provider it chooses.

A security review should document:

• Which model and endpoint receive project context
• Where that endpoint is hosted
• Who owns and rotates provider credentials
• What project data can enter the model context
• What the provider retains and for how long
• Where prompts, outputs, and actions are logged
• Whether web search or MCP connectors introduce additional external data flows
• Whether the required AI workload can run on an approved local model

Plane's self-hosted materials state that prompts, responses, and actions are logged locally. The AI Usage screens also report self-hosted consumption in tokens, with breakdowns by model, user, AI agent, feature, and Project.

Plane AI credits apply only to Plane Cloud. On self-hosted deployments, customers pay their AI provider directly, members are not metered by Plane, and administrators can configure a shared token budget for AI agents.

Govern AI actions separately from AI access

Plane AI supports different levels of autonomy for actions inside the Workspace.

• Ask is read-only and retrieves information without modifying Plane data.
• Build can create or update work, but presents planned actions for review and confirmation before execution.
• Auto mode executes planned actions without the Build review step when the capability is available and enabled.

This gives enterprises a way to match the level of review to the consequence of the action. A Project summary carries a different operational risk from bulk reassignment, state changes, or other modifications.

External AI tools can also interact with Plane through the MCP server. In that model, the external client reads and writes as the authenticated Plane user, and the user's Workspace and Project roles apply to every operation. The AI model belongs to the external client and does not use Plane AI credits.

That creates a separate trust boundary around the client, its model, and any additional tools it can call. Security teams should evaluate that path alongside the controls inside Plane AI.

For every AI deployment, the practical sovereignty question is the same: what project context can the AI reach, where is that context processed, who can authorize changes, and where is the resulting activity recorded?

How airgapped teams run Plane without external dependencies

Some environments require the project management system to operate without an internet connection. Plane's Airgapped Edition is built for this model and can be deployed with Docker or Kubernetes inside an isolated network.

Current Plane Docs position Airgapped Edition for Enterprise Grid customers with a minimum commitment of 100 seats.

Run Plane without external network dependencies

After the required images and deployment artifacts have been transferred into the environment, Plane can operate without external network connectivity.

The Airgapped Edition is designed around four controls:

• No outbound telemetry: Application data, analytics, crash reports, usage metrics, and telemetry do not leave the cluster.
• Offline licensing: License validation uses a license file transferred into the environment.
• Internal service communication: Plane services communicate within the isolated network.
• No runtime dependency on external APIs or CDNs: Required services and dependencies must be available inside the approved network boundary.

Internal integrations can remain inside that boundary as well. For example, Plane can communicate with internally hosted GitHub Enterprise or GitLab instances without routing authentication, API calls, or webhooks through their public SaaS services.

Plane's Privacy Policy also states that an airgapped instance transmits no data to Plane and operates with zero connectivity to Plane's servers.

Activate licensing offline

Airgapped Edition uses a license file instead of runtime license validation against Plane's servers.

For Enterprise Grid, the administrator:

1. Downloads the license file from the Prime portal using a connected system.
2. Transfers the file into the isolated environment through the organization's approved process.
3. Signs in to the Plane instance through God Mode.
4. Opens Billing and uploads the license file to activate the instance.

Because the license file is obtained outside the isolated network and then transferred in, license handling should be included in the organization's operational runbook.

Transfer and apply updates through internal infrastructure

Airgapped Plane instances cannot pull application updates directly from public repositories. Updates therefore move through infrastructure controlled by the organization.

Plane's current deployment model uses an internal container registry to host the images required by the Airgapped Edition. Organizations need a controlled process to obtain Plane images and deployment artifacts on a connected system, verify them according to internal policy, and move them into the isolated environment.

For Kubernetes deployments, the documented update flow includes:

1. Pull the required Plane images on a connected system and push them to the registry available to the airgapped cluster.
2. Download the current Plane Enterprise Helm chart.
3. Transfer the Helm chart into the restricted environment.
4. Update the deployment configuration for the new Plane version.
5. Redeploy the Helm release and verify the version after the upgrade.

The exact transfer and verification controls remain an enterprise responsibility. Plane's production environment does not need to reach public image repositories during the upgrade.

Run Plane AI with a local model

AI features that require an external model provider cannot reach that provider from a fully disconnected Plane deployment. Plane supports configuring a locally hosted model so AI processing can remain inside the airgapped environment.

The local model and the infrastructure required to serve it must be reachable within the approved network boundary. Any other dependencies required for the organization's Plane AI configuration also need to operate internally.

Plane's AI Terms state that when an airgapped customer uses a locally hosted model, Plane has no access to or visibility into that AI processing. The customer remains responsible for the model's configuration, performance, and compliance.

What enterprises take responsibility for when they self-host project management

Self-hosting gives enterprises greater control over where Plane runs, while shifting responsibility for much of the production environment to the customer. Plane's terms assign customers responsibility for infrastructure, backups, supplied updates and patches, and the security and integrity of their self-hosted environment. Plane supports the software itself, rather than the customer's infrastructure, networking, or third-party components.

Teams should account for that operational ownership before rollout.

Infrastructure operations

Platform or infrastructure teams need to manage:

• Compute capacity
• Databases and object storage
• Network connectivity and DNS
• Certificates and load balancing
• High availability
• Resource monitoring
• Infrastructure patching

The operating model depends on the deployment. A smaller installation may use Docker, while larger production environments may use Kubernetes with external databases, object storage, high availability, and dedicated monitoring.

Backup and recovery

The customer also owns the recovery architecture, including:

• Backup scope and frequency
• Retention and storage location
• Encryption
• Restore procedures
• Recovery objectives
• Restore testing

Plane's self-hosting guidance places responsibility for database, object store, search, queue, backup, and key-management controls within the customer's environment. Regular restore testing should be part of that operating model so teams know their backups can support recovery when needed.

Security configuration

Plane provides application-level security controls, while the enterprise configures and operates the surrounding security environment.

Plane supports authentication and access capabilities such as SAML SSO, OIDC SSO, LDAP on supported Enterprise Grid deployments, Role-Based Access Control (RBAC), and Granular Access Control (GAC). The enterprise remains responsible for areas such as:

• Identity provider configuration
• Group mappings
• MFA policy
• Break-glass access
• Certificates
• Internal network policies
• Periodic access reviews

This division of responsibility should be documented as part of the deployment's security model.

Upgrade planning

Self-hosting gives teams control over when releases move into production. Organizations with change-management requirements can validate Plane releases internally before deploying them during an approved maintenance window.

An upgrade process should cover:

• Release and security review
• Staging validation
• Pre-upgrade backup
• Compatibility testing
• Change approval
• Production rollout
• Post-upgrade verification
• Rollback planning

For Airgapped Edition deployments, the process also includes transferring the required release artifacts through approved internal infrastructure.

Define a policy for support interactions

Normal self-hosted application data remains within customer-controlled infrastructure, but troubleshooting can create a separate data path.

Plane's Privacy Policy allows customers to voluntarily share diagnostic information when requesting support. Enterprises should therefore define:

• What logs, screenshots, or data samples may be shared
• Who must approve that disclosure
• Whether sensitive data needs to be removed first
• How support artifacts are handled after troubleshooting

Defining this process before an incident helps keep support activity within the organization's broader data-governance requirements.

When to choose Plane's Commercial Edition vs. Airgapped Edition

Plane's Commercial Edition and Airgapped Edition both run on customer-controlled infrastructure. The deciding factor is usually the network policy around the production environment: whether controlled outbound connectivity is permitted or the environment must remain fully isolated.

Choose Commercial Edition when controlled outbound connectivity is permitted

Commercial Edition fits organizations that need Plane and its project data on infrastructure they control while allowing a defined set of outbound connections.

It is generally the better fit when the organization can approve:

• Connectivity to Plane's licensing service
• External services such as SMTP, integrations, or AI providers where policy permits
• Optional telemetry, or disabling telemetry through God Mode
• Connections to internal systems and private infrastructure services

The enterprise still controls where Plane runs, where its data stores live, which integrations are enabled, and when releases are deployed. The network policy simply allows specific external destinations that have been reviewed and approved.

Choose Airgapped Edition when production must remain disconnected

Airgapped Edition is designed for environments where the production network cannot maintain external internet connectivity.

It is the appropriate model when requirements include:

• No outbound internet access from the Plane environment
• Offline license activation
• Internal endpoints for identity, integrations, storage, and other required services
• Locally hosted AI when AI capabilities are needed
• Controlled transfer of release images and deployment artifacts into the isolated network

This model adds operational processes for moving licenses, software, and updates across the organization's trust boundary, which should already be accounted for in the infrastructure and change-management plan.

For buyers, the decision can be reduced to the approved network boundary. If controlled egress is permitted, Commercial Edition supports a private deployment with governed external connections. If production must operate without an external network path, Airgapped Edition is the corresponding Plane deployment model.

What security and procurement teams should verify before deployment

Security, infrastructure, legal, procurement, and the teams that will operate Plane should review the same production architecture. The goal is to establish where project data goes, who can access it, which external connections exist, and what evidence the organization can retain.

Map the data and network boundary

Start with the complete data path rather than the primary database alone. The review should cover Work Items, comments, attachments, Pages and Wiki content, search indexes, activity history, Audit Logs, backups, reporting data, and AI inputs and outputs.

For each category, record where it is stored or processed, who controls that infrastructure, and whether another service receives it.

The same review should identify every outbound connection. On a connected self-hosted Plane, license and seat synchronization are the only required outbound calls. Additional paths can come from telemetry, SMTP, integrations, storage architecture, or AI providers, depending on the deployment. Plane states that outbound calls from connected self-hosted deployments are logged and inspectable.

Airgapped Edition removes runtime external connectivity, so any required identity, integration, storage, AI, and other services must be reachable inside the isolated environment.

Validate identity, permissions, and audit coverage

Document access at every layer:

• Plane instance
• Workspace and Project
• Infrastructure and database
• Backups and service accounts
• AI providers and clients
• Support procedures

Plane's Privacy Policy states that Plane does not access a customer's self-hosted instance or data during normal operation. Customers may voluntarily share diagnostic information when support is required.

Also define which events must be retained as evidence:

• Workspace Audit Logs: Security-relevant Workspace activity on Enterprise Grid
• Project Audit Logs: Project-scoped activity on Enterprise Grid
• Work Item activity: Changes to individual Work Items

If external AI clients use Plane through the MCP server, include the client and any surrounding gateway in the review. The MCP server follows the authenticated user's Workspace and Project permissions. Prompt history, client-side approvals, and activity outside Plane may require evidence from the external AI system.

Review the AI data path separately

For every AI capability the organization plans to enable, document the model, endpoint, hosting location, credential owner, project context supplied, retention policy, and logging location.

Self-hosted Plane can use customer-configured providers or local model infrastructure. The chosen endpoint determines whether project context remains inside the enterprise network or travels to an external provider.

The review should also cover web search and MCP connectors if they are enabled, since these can introduce additional data paths beyond the model endpoint.

Review operations and assurance evidence

Procurement and security teams should confirm how licensing, updates, recovery, and vendor assurance fit into the production model.

• For Commercial Edition, document the licensing endpoints, upgrade process, maintenance windows, backup and rollback procedures, and any additional outbound services the organization enables.
• For Airgapped Edition, document offline license handling, the controlled transfer of release images and deployment artifacts, the internal registry, upgrade procedures, and the organization's own verification and approval process.

Vendor assurance should also be described precisely. Plane publicly states a SOC 2 Type II attestation, ISO 27001:2022 certification, and compliance with GDPR and CCPA. Procurement teams should request the evidence relevant to their review and map it to the controls operated in their own self-hosted environment.

That customer-side review commonly includes encryption and key management, TLS, identity configuration, network segmentation, backups, vulnerability management, access reviews, audit retention, incident response, and software-update procedures.

Validate the deployment before production

A technical evaluation should prove the controls that matter most in the organization's own environment.

The deployment should move forward only after the organization can demonstrate that these controls match its required data-sovereignty and operational policies.

Bottom line

Full data sovereignty depends on understanding where project data lives, which systems can access it, how AI processes it, and what evidence the organization can retain. Plane supports this through Commercial Edition for customer-controlled environments with governed connectivity and Airgapped Edition for networks that must remain disconnected.

If your team is evaluating either model, bring your network, identity, AI, audit, and recovery requirements into the conversation and Talk to Sales to validate which deployment model fits your security architecture.

Frequently asked questions

Q1. Can project management software be fully self-hosted?

Yes. Fully self-hosted project management software runs the application and its project data on infrastructure controlled by the organization. Enterprises should also review storage, backups, integrations, licensing, telemetry, authentication, and AI services because these components can introduce additional data flows.

Plane offers self-hosted Commercial deployments for organizations that want to run project management on their own infrastructure.

Q2. What is the difference between self-hosted and air-gapped project management?

Self-hosted project management runs on infrastructure controlled by the customer and may still connect to approved external services. An air-gapped project management deployment operates inside an isolated network without an external network path.

Plane's Commercial self-hosted edition supports customer-controlled infrastructure with minimal required outbound connectivity. Plane Air-gapped uses offline licensing, offline software packages, and requires no external connectivity for operation.

Q3. Does self-hosting guarantee data sovereignty?

Self-hosting provides significant control over where an application and its data run, while full data sovereignty depends on the complete architecture.

Enterprises should also evaluate legal jurisdiction, backups, integrations, support access, telemetry, licensing services, identity systems, and AI inference endpoints. A self-hosted application that sends sensitive project context to an external service creates an additional data boundary that needs its own review.

Q4. Can enterprises run AI in a self-hosted project management system?

Yes. Self-hosted project management systems can run AI when they support customer-controlled model connections or local inference.

Self-hosted Plane AI supports OpenAI and Anthropic credentials, plus one custom LLM. The custom LLM can use AWS Bedrock or an OpenAI-compatible endpoint such as Ollama, allowing enterprises to choose an AI setup that fits their infrastructure and data policies.

Q5. Can AI agents operate without sending project data to external models?

Yes, when the project management platform and AI inference runtime both operate inside infrastructure controlled by the organization.

For example, Plane can connect to local models in self-hosted environments. In an air-gapped deployment, AI capabilities that would normally require external connectivity can operate through a locally configured model instead.

The organization should also evaluate agent permissions, action logging, and any tools or services the agent can call.