GITNUXSOFTWARE ADVICE
Business Process OutsourcingTop 10 Best Revision Management Software of 2026
Top 10 Revision Management Software ranking compares AuditBoard, Veeva Vault QualityDocs, and MasterControl Quality Excellence for regulated teams.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
AuditBoard
Revision lineage that links evidence and control changes to governed approvals and audit log entries.
Built for fits when audit revisions need governed workflows, traceability, and API-ready automation across teams..
Veeva Vault QualityDocs
Editor pickVault QualityDocs controlled lifecycle revision history tied to configured metadata and audit logging for every state change.
Built for fits when regulated quality teams need API-connected revision control with RBAC and audit logs..
MasterControl Quality Excellence
Editor pickRevision status control enforces access and distribution rules tied to approval outcomes and audit history.
Built for fits when regulated teams need revision governance with RBAC, audit logs, and workflow-driven automation..
Related reading
Comparison Table
This comparison table maps revision management systems across integration depth, data model, and automation with API surface for change capture, document versioning, and supplier or internal approvals. Each row highlights admin and governance controls such as RBAC, audit log coverage, and provisioning workflows, then notes extensibility points that affect configuration, schema design, and throughput. Readers can use the table to evaluate tradeoffs in how each platform models revisions and enforces review and release policies.
AuditBoard
enterprise workflowControls-driven audit and change workflows with configurable approval steps, evidence collection, audit trails, RBAC, and API-first integration patterns that support revision-governed processes inside compliance programs.
Revision lineage that links evidence and control changes to governed approvals and audit log entries.
AuditBoard supports revision management through governed workflow steps for changes to evidence, findings, and control-related artifacts. The system links revisions to the underlying audit work structure, which keeps traceability across request, review, and approval phases. Integration depth is driven by API access and data synchronization for audit objects and evidence artifacts, so revision events can flow into downstream systems with consistent identifiers.
A tradeoff is that revision rigor depends on model setup, including control definitions and workflow configuration, before teams can move at high throughput. AuditBoard fits situations where revisions must be repeatable and reviewable across multiple audit cycles, such as enterprise internal audit groups consolidating evidence and sign-offs across regions.
- +Workflow-driven revisions with approvals and evidence traceability
- +Strong RBAC and audit log coverage for revision and governance events
- +API-oriented extensibility for audit objects and automation hooks
- +Data model ties changes to controls, workpapers, and findings
- –Requires upfront schema and workflow configuration for consistent revisions
- –Revision throughput can lag when evidence volume and review steps grow
Internal audit teams
Review findings and evidence revisions
Repeatable, reviewable revision trail
SOX and compliance groups
Control update workflows with sign-offs
Consistent control revision governance
Show 2 more scenarios
Risk operations
Integrate revisions into tooling
Faster downstream processing
Uses API and automation to sync revision events and evidence updates into risk and case systems.
Audit program admins
Standardize schemas and governance
Lower variance across teams
Configures workflow steps, permissions, and data mappings to enforce consistent revision handling across programs.
Best for: Fits when audit revisions need governed workflows, traceability, and API-ready automation across teams.
Veeva Vault QualityDocs
regulated documentsRegulated document revision management with versioning, controlled publishing, approval routing, and audit history wired to administrative controls for quality and compliance workflows.
Vault QualityDocs controlled lifecycle revision history tied to configured metadata and audit logging for every state change.
Vault QualityDocs fits organizations that need revision management tied to quality processes like review, approval, and controlled publishing. The data model links documents to structured metadata so revision history can be queried by lifecycle state and relationship context. Admin controls include role-based access and audit logging so both access and edits remain traceable across document lifecycles. Automation can be implemented through Vault workflow configuration that coordinates controlled states and routing without custom UI builds.
A tradeoff appears when teams require document types and relationships not represented in the configured metadata schema. In that case, schema design and configuration become a governance project rather than a quick setup. Quality groups that integrate with other Vault applications or external systems via API surface and provisioning typically see the strongest fit. A common usage situation involves controlled SOPs, validation protocols, or batch records that must stay consistent with controlled templates and approval records.
- +Revision state and metadata are modeled for audit-ready lifecycle control
- +Vault integration uses API surfaces that connect approvals to external systems
- +RBAC plus audit logs provide traceability for document edits and access
- +Workflow automation can enforce controlled publishing rules consistently
- –New document structures can require schema and relationship configuration work
- –Automation depends on available workflow patterns and Vault configuration limits
QA operations teams
Control SOP revisions and approvals
Consistent controlled publishing
Regulatory affairs teams
Track change across submissions packages
Faster change traceability
Show 2 more scenarios
IT quality engineering
Integrate document updates via API
Higher integration throughput
Uses Vault APIs and provisioning hooks to sync status and metadata with external systems.
Quality management administrators
Enforce RBAC for controlled documents
Reduced access risk
Applies role-based permissions and audit logs to limit edit access and record changes.
Best for: Fits when regulated quality teams need API-connected revision control with RBAC and audit logs.
MasterControl Quality Excellence
quality systemsElectronic document control with revision approvals, configuration of document life cycles, strong audit logging, and enterprise integration hooks for quality management systems.
Revision status control enforces access and distribution rules tied to approval outcomes and audit history.
MasterControl Quality Excellence centers its revision management on a governed lifecycle that links each revision to approval steps, distribution controls, and traceable change records. The data model connects documents, forms, and related quality records so revision status can drive downstream controls and retrieval behavior. Admin and governance controls include role-based access, enforced status-based permissions, and an audit log that records review and edit activity by actor and timestamp.
A common tradeoff is tighter configuration discipline. Teams need schema mapping and workflow definitions before automation can handle high throughput across many document families. MasterControl Quality Excellence fits situations where revision control must propagate through multiple systems and where audit log completeness and RBAC enforcement matter more than ad hoc edits.
- +Revision lifecycle ties approvals, distribution, and audit log into one governed flow
- +RBAC-enforced permissions prevent unauthorized changes by revision state
- +Configurable workflows support automated routing and lifecycle transitions
- +Extensibility and integration-oriented design support system synchronization
- –Schema and workflow configuration require upfront governance effort
- –High document volume can increase administration load for review routing
Quality management teams
Manage controlled SOP revision cycles
Fewer unauthorized document updates
Regulatory affairs teams
Coordinate change control submissions
Faster compliance-ready documentation
Show 2 more scenarios
IT integration teams
Sync revisions with external systems
Consistent revision data across systems
An automation and API surface supports provisioning workflows and downstream synchronization across tooling.
Operations and labs
Retrieve revision-correct work instructions
Reduced use of outdated instructions
Role-based access ensures teams pull the correct revision based on status and permissions.
Best for: Fits when regulated teams need revision governance with RBAC, audit logs, and workflow-driven automation.
QT9 QMS
QMS document controlDocument control and revision management for regulated environments with workflow states, permissioning, and audit trails designed for governance and structured change histories.
Controlled publishing of revision changes with audit logging and RBAC enforced access controls.
QT9 QMS targets revision management with structured control over document and record lifecycles, including controlled revisions and approval gating. It pairs that revision data model with automation for workflow states, so teams can route changes consistently across documents.
Integration depth centers on how QT9 QMS connects revision objects to the rest of the QMS through its API and configurable workflows. Admin governance focuses on RBAC, audit logging, and controlled publishing actions.
- +Document revision control maps to workflow states and approvals
- +Audit log captures revision changes and publishing activity
- +RBAC supports separation across authors, approvers, and admins
- +Automation ties schema-driven revisions to routing and notifications
- –API surface depends on object model alignment to existing schemas
- –Complex custom workflows require careful configuration governance
- –High-volume revision updates can stress throughput without batching
- –Sandboxing complex approval chains takes setup time
Best for: Fits when regulated teams need revision workflows with auditability, RBAC governance, and API-driven integration to QMS systems.
Thomasnet Supplier Portal
supplier document workflowsSupplier document collection and review with revision tracking and governance oriented toward controlled technical documents exchanged between enterprises.
Portal-driven supplier revision submissions tied to published catalog document sets
Thomasnet Supplier Portal supports supplier-side revision workflows tied to published catalog artifacts and document sets. It centers on controlled updates where suppliers can submit change-related information for review and acceptance in the Thomasnet data ecosystem.
Revision handling is organized around the portal’s supplier workflows and document submission steps rather than a separate revision schema or branching model. Integration, automation, and governance controls are largely mediated through supplier provisioning and portal permissions rather than a clearly exposed API-first revision platform.
- +Revision submissions follow portal-driven steps tied to catalog artifacts
- +Supplier workflow reduces revision handling work done in email threads
- +Permission-based access supports controlled contribution from supplier roles
- –Revision data model and schema are not exposed as a programmable interface
- –API automation surface for revision workflows is not clearly defined
- –Audit log granularity for field-level diffs and reviewer actions is limited
Best for: Fits when supplier teams need portal-based revision submission with review routing, not code-driven schema control.
Confluence
collaboration versioningPage versioning and history with granular permissions, audit log support, and REST APIs that enable automated revision workflows tied to internal governance processes.
Built-in page versioning with diff views, plus audit logs for admin and content-change traceability.
Confluence fits teams that document decisions, link work to updates, and manage change history in shared spaces. Its distinct capability is a revision data model for pages that supports granular versioning, comment history, and attachment updates.
Atlassian integration depth ties Confluence revisions to Jira issues and Bitbucket or Git data via smart links. Admin workflows add configuration controls around permissions, audit logging, and change management through organization and site settings.
- +Page revision history with author, timestamps, and diff-style comparisons
- +Tight Jira linkage via smart links and issue panels
- +Audit log visibility for permissions, admin actions, and content changes
- +Extensible automation with REST APIs and webhooks
- –Revision granularity is page-scoped rather than file-scoped by default
- –Schema customization for content models is limited without custom apps
- –Automation throughput depends on external workflow and API request volume
- –Bulk migration and backfills require careful planning of space permissions
Best for: Fits when teams need revisioned documentation with Jira-linked context and controlled governance.
Jira Software
change trackingChange-driven revision governance via issue histories, approval-like workflow design, field-level auditability, and REST APIs that connect revision events to engineering process controls.
Issue-level change history plus an audit log records who changed which fields across workflow transitions.
Jira Software pairs issue-centric data modeling with an extensible automation engine built around workflows, fields, and permissions. It supports revision management through history, change tracking, and audit trails on issues, projects, and associated artifacts like epics, versions, and deployments.
Tight integration depth comes from Jira’s REST APIs, webhooks, and app framework for schema-aware customization and workflow extensions. Automation and governance controls combine rules, role-based access, and audit logging to manage configuration changes at scale.
- +REST APIs and webhooks cover issue history, transitions, and project configuration
- +Workflow and field schemas tie revision history to concrete data model elements
- +Automation rules reduce manual edits while recording resulting state changes
- +RBAC and audit logs support governance for edits, permissions, and configuration changes
- –Revision granularity depends on which fields are tracked in workflows and issue edits
- –Cross-entity change reconstruction can require multiple API calls and careful correlation
- –Automations can create throughput hotspots when rules trigger on high-volume events
- –Custom workflow extensions can increase admin overhead for schema and permission alignment
Best for: Fits when teams need audit-grade change history tied to workflow transitions and API-driven integration.
Google Drive
cloud file versioningFile versioning with access control, activity auditing, and admin-managed policies that integrate with APIs for revision lifecycle workflows.
Version history and comment threads in Google Docs, Sheets, and Slides with programmatic access via Drive API
Google Drive functions as a file-centric revision system inside Google Workspace, with version history on supported Google Docs, Sheets, and Slides. Integration depth is driven by Drive API and Google Workspace APIs, which allow programmatic listing, metadata, permissions, and revision history retrieval.
Automation and extensibility come from API-driven workflows plus add-ons and Apps Script projects attached to Drive content. Administrative governance centers on shared drives, RBAC via Google Groups, and audit logging for access and document events.
- +Drive API exposes file metadata, permissions, and version history for automation
- +Version history is built for Google Docs, Sheets, and Slides
- +Shared drives support role-based access patterns across teams
- +Admin audit logs record Drive and document activity for investigations
- +Google Groups enable RBAC mapping for scalable access control
- –Revision history behavior varies by file type and editor format
- –Granular revision diffs are limited for non-Google file formats
- –Cross-system revision linking requires external workflow coordination
- –Large-scale automation depends on careful API quota and batching
Best for: Fits when teams need revision history tied to shared content and governed access via Google Groups and audits.
Smartsheet
workflow automationRevision-aware work management with change history, role-based access control, and REST APIs that enable automation around document or record revisions.
Sheet revision history with activity log detail for traceable cell-level edits.
Smartsheet supports revision management by tracking changes to sheets, rows, and cells with version history and activity logs. The data model centers on workspaces, sheets, and fields that map cleanly to structured updates and approvals.
Smartsheet Automation and its REST API provide a workflow surface for controlled edits, notifications, and synchronization across connected systems. Admin controls cover sharing governance, permissioning, and audit visibility across teams and workspaces.
- +Revision history and activity trails for sheet changes at cell level
- +REST API supports programmatic edits, task updates, and structured synchronization
- +Automation rules trigger on changes for approvals, notifications, and workflow routing
- +RBAC-style permissions at workspace and sheet levels for controlled sharing
- +Audit log visibility helps trace who changed what and when
- –Complex revision workflows need careful configuration across dependent automations
- –Schema changes to fields can impact integrations that assume stable field mapping
- –Large automation graphs can be harder to troubleshoot without granular logs
- –Branching or parallel draft lineage is limited compared to document versioning models
Best for: Fits when teams need governed, API-driven revision tracking over structured work plans in Smartsheet fields.
DocuSign
approval automationWorkflow-based approvals with auditable signing events, integration APIs, and template-driven governance for controlled revision approval processes.
Audit log plus API-driven envelope events for revision governance and automation triggers.
DocuSign fits organizations that need contract workflow automation with deep integration across CLM and identity systems. Its data model centers on envelope objects, recipients, templates, and event callbacks, which supports traceable revision cycles.
DocuSign exposes API endpoints for eSignature lifecycle actions and webhook-style notifications, so automation can react to status changes and metadata. Admin controls support RBAC, audit logs, and governance policies for account-wide signing and document handling.
- +Envelope and template data model supports consistent revision workflows
- +API and event notifications enable automation around signing status changes
- +RBAC and audit logs support governance for document and user actions
- +Integration catalog covers common identity and content systems
- –Revision history depends on template and versioning practices
- –Schema complexity increases when many recipients and routing rules are used
- –Throughput tuning requires careful account and API usage planning
Best for: Fits when enterprise teams manage contract revisions with auditability and API-driven workflow automation.
How to Choose the Right Revision Management Software
This buyer’s guide covers AuditBoard, Veeva Vault QualityDocs, MasterControl Quality Excellence, QT9 QMS, Thomasnet Supplier Portal, Confluence, Jira Software, Google Drive, Smartsheet, and DocuSign for revision workflows, evidence traceability, and audit-grade history.
The guidance focuses on integration depth, the revision and workflow data model, automation and API surface, and admin and governance controls that govern who can change what and when across revision states.
Revision governance that couples version history to approval, evidence, and audit trails
Revision Management Software records document and record changes using a governed model that ties each revision state to approvals, publishing rules, and audit history. It solves problems where file history alone does not answer governance questions like who approved a revision, what evidence supported the change, and which downstream artifacts were affected.
Tools like AuditBoard and Veeva Vault QualityDocs implement revision workflows with configurable steps, audit logs, and RBAC so revision lineage connects back to governed approvals and controlled lifecycle metadata.
Evaluation criteria for governed revisions: integration, data model, automation, and administration
Revision management succeeds when revision objects, metadata, and workflow states share a consistent schema across integrations. When data model choices are unclear, cross-system automation can require fragile mapping and expensive rework.
Automation and API surface matter most for throughput and governance at scale. Admin and governance controls determine whether revision creators, approvers, and admins can operate with enforced separation using RBAC and audit logs.
Revision lineage tied to approvals and evidence
AuditBoard links evidence and control changes to governed approvals and audit log entries using a revision lineage model. MasterControl Quality Excellence ties revision status control to distribution and audit history so access and routing follow approval outcomes.
Configurable workflow states with controlled publishing
Veeva Vault QualityDocs uses schema-driven lifecycle metadata to enforce controlled publishing rules across revision states. QT9 QMS implements controlled publishing of revision changes with audit logging and RBAC-enforced access controls tied to workflow actions.
Schema-driven data model for revision metadata and relationships
Veeva Vault QualityDocs maps versioning, lifecycle metadata, and document relationships into configurable configuration. QT9 QMS and MasterControl Quality Excellence use workflow states and revision lifecycle ties so revision history is grounded in structured data model elements.
API and automation surface for revision workflows
AuditBoard is built around API-first integration patterns that support automation hooks for audit objects and workflow steps. Jira Software provides REST APIs and webhooks that connect issue history and workflow transitions to revision events, while Smartsheet exposes a REST API plus Automation rules for structured updates and approvals.
RBAC governance and audit log coverage for revision events
AuditBoard includes RBAC and audit logs that record revision and governance events tied to configuration controls. Confluence and Jira Software add audit log visibility for admin and content changes, and QT9 QMS pairs RBAC with audit logging for revision changes and publishing actions.
Integration depth into adjacent systems where revisions originate
Confluence integrates with Jira using smart links and issue panels so revision context stays connected to engineering decisions. DocuSign integrates through API endpoints, envelope templates, and webhook-style notifications so automation can react to signing status changes that represent contract revision cycles.
A decision path for selecting the right revision management tool for governed change
Start by matching the revision workflow type to the tool’s governed model rather than the tool’s version history UI. AuditBoard and Veeva Vault QualityDocs treat revisions as governed objects with workflow steps, evidence collection, and audit trails.
Then validate automation expectations using the tool’s API and event surfaces. Jira Software, Confluence, Google Drive, Smartsheet, and DocuSign each expose different integration patterns that affect throughput, correlation, and governance control.
Map revision governance to workflow states and approval steps
Select AuditBoard, Veeva Vault QualityDocs, or MasterControl Quality Excellence when revisions must pass configurable approval steps with evidence traceability. Use QT9 QMS when controlled publishing and approval gating must be tied to revision workflow states with audit logging.
Validate the revision data model before building integrations
Require schema-driven lifecycle metadata in Veeva Vault QualityDocs when document relationships and state transitions must be consistent across revisions. Use QT9 QMS and MasterControl Quality Excellence when revision state must be enforceable through structured workflow and data model ties, not through unstructured comments or file history.
Confirm automation and event surfaces match revision throughput needs
Choose AuditBoard when API-first integration patterns must connect audit objects to automation hooks for revision steps and audit tracking. Choose Jira Software when issue-level change history and REST APIs plus webhooks must drive workflow-driven revision governance at scale.
Test administrative separation with RBAC and audit logs
Demand RBAC-enforced separation and audit log coverage for revision and configuration events from AuditBoard, Veeva Vault QualityDocs, and MasterControl Quality Excellence. Validate Confluence and Jira Software when admin and permission auditability must cover content changes and workflow transitions.
Align integration breadth to where revisions originate
Use Confluence when revisioned documentation must stay linked to Jira decisions through smart links and issue panels. Use DocuSign when contract revisions must be governed through envelope objects, templates, and signing status callbacks.
Which organizations get the most from governed revision management tools
Revision Management Software fits teams that must answer governance questions using traceable revision state transitions and auditable change events. It also fits teams that need integration-ready revision objects instead of relying on human interpretation of file histories.
Different tools fit different governance models, from audit and quality control evidence chains to document-centric collaboration linked to engineering workflows.
Audit and risk teams running evidence-based revision approvals
AuditBoard fits teams that require revision lineage linking evidence and control changes to governed approvals and audit log entries. It also supports RBAC and API-first integration patterns for revision-governed processes inside compliance programs.
Regulated quality teams that must enforce controlled lifecycle publishing
Veeva Vault QualityDocs fits regulated quality teams that need API-connected revision control with RBAC and audit logs tied to configured metadata. MasterControl Quality Excellence fits teams needing revision status control that enforces access and distribution rules based on approval outcomes.
QMS teams that need workflow states and controlled publishing with API-driven integration
QT9 QMS fits regulated teams that need revision workflows with auditability and RBAC governance tied to controlled publishing. It connects revision objects to QMS systems using its API and configurable workflows so routing and publishing are consistent.
Engineering and product teams that need revision history tied to issue workflow transitions
Jira Software fits teams that need audit-grade change history linked to workflow transitions and API-driven integration through REST APIs and webhooks. Confluence fits teams that manage revisioned documentation with diff views, audit logs, and Jira-linked context through smart links.
Contract and supplier workflows where revisions follow signing or submission cycles
DocuSign fits enterprise contract revision governance that relies on envelope objects, templates, and audit logs driven by signing status events. Thomasnet Supplier Portal fits supplier-side revision submissions where supplier workflow steps drive controlled review and acceptance tied to published catalog artifacts.
Pitfalls that break revision governance across integrations and admin controls
Common failures happen when revision models are treated like generic version history. Audit and regulated quality tools require workflow states, controlled publishing rules, and auditable governance events that are representable in a schema.
Another failure is integrating without validating how revision correlation works across entities. Jira Software and Google Drive can require careful correlation across multiple API calls or external workflow coordination when linking revisions across systems.
Building automation on a revision history that is page or field scoped
Confluence revision history is page-scoped by default, which can limit file-scoped revision governance and complicate schema customization without custom apps. Jira Software revision granularity depends on which fields are tracked in workflows and issue edits, which can require careful field design for reconstruction.
Skipping schema and workflow configuration validation before enabling governed processes
AuditBoard, Veeva Vault QualityDocs, and MasterControl Quality Excellence require upfront schema and workflow configuration for consistent revisions, and revisions throughput can lag when evidence volume and review steps grow. QT9 QMS also requires careful configuration governance, and complex custom workflows can stress admin setup for sandboxing.
Assuming supplier or file-centric tools expose revision data as programmable schema objects
Thomasnet Supplier Portal centers supplier workflow steps and revision submissions rather than exposing a clearly programmable revision schema and API-first revision platform. Google Drive exposes version history via Drive API, but granular revision diffs are limited for non-Google file formats and cross-system revision linking depends on external workflow coordination.
Underestimating automation troubleshooting complexity in revision graphs
Smartsheet Automation can require careful configuration across dependent automations, and large automation graphs can be harder to troubleshoot without granular logs. Jira Software automations can create throughput hotspots when rules trigger on high-volume events, which increases the need for targeted workflow and event scoping.
How We Selected and Ranked These Tools
We evaluated AuditBoard, Veeva Vault QualityDocs, MasterControl Quality Excellence, QT9 QMS, Thomasnet Supplier Portal, Confluence, Jira Software, Google Drive, Smartsheet, and DocuSign using criteria tied to features, ease of use, and value, with features carrying the most weight because revision governance depends on workflow, data model, automation, and administration controls. We used an overall rating that treats features as the primary driver, while ease of use and value each matter enough to prevent workflow-capable tools from ranking too high without practical operability.
AuditBoard stood apart because its revision lineage links evidence and control changes to governed approvals and audit log entries, and that capability directly lifts the score on governance traceability and API-ready automation patterns.
Frequently Asked Questions About Revision Management Software
How do audit-grade revision workflows differ between AuditBoard and MasterControl Quality Excellence?
Which tools provide API-first revision automation, and which rely more on configuration or integrations?
What integration paths work best when revision changes must trigger downstream system updates?
How do SSO and access control features typically control who can alter revision definitions or workflow steps?
What data migration tasks appear when moving revision history into a schema-based system like Veeva Vault QualityDocs?
How does extensibility differ between Jira Software and MasterControl Quality Excellence for custom revision logic?
Which platforms handle revision approval gating with controlled publishing actions?
When revision tracking must include granular change detail, what should be evaluated across Smartsheet and Google Drive?
How do supplier-facing revision submissions differ from internal revision control in Thomasnet Supplier Portal and enterprise QMS tools?
What are the main administrative controls to review when teams need change audit visibility and governance?
Conclusion
After evaluating 10 business process outsourcing, AuditBoard stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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