Project Management migration
Field-level mapping, validation, and rollback between CAMMS and Jira. We move data and schema; workflows are rebuilt natively in Jira.
CAMMS
Source
Jira
Destination
Compatibility
6 of 10
objects map 1:1 between CAMMS and Jira.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from CAMMS to Jira is a structural migration that requires resolving two fundamental incompatibilities: CAMMS has no documented public REST API for bulk data extraction, and Jira's data model uses a flat Issues-within-Projects structure rather than CAMMS's hierarchical Project-Task-Risk-Issue-Budget decomposition. We address the export challenge by coordinating structured data exports from CAMMS support or database-level access for on-premise deployments before any field mapping begins. On the Jira side, we decompose CAMMS hierarchies into Jira Projects (one per CAMMS Project or sub-portfolio), map Tasks to Jira Issues, Risks to labeled Issues with priority and custom fields, and Budgets to Jira Issue descriptions or custom fields where budget tracking is required. We run a parallel attachment export that downloads files in original format, preserves CAMMS folder structures, and re-links each file to its parent Jira Issue after import. We do not migrate CAMMS approval workflows, stage gates, or governance frameworks as code; we deliver a written inventory of these for the customer's Jira admin to rebuild using Jira Automation or third-party workflow tools.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a CAMMS object lands in Jira, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
CAMMS
Project
Jira
Project
1:1CAMMS Projects (including sub-projects and work packages) map to Jira Projects. We extract full project hierarchies and map the top-level CAMMS Project to one Jira Project per portfolio or programme. Sub-projects become Jira Projects within the same Jira organisation or, where the destination org uses a single large project, become Jira Epics or Folders depending on the team's hierarchy convention agreed during scoping.
CAMMS
Task
Jira
Issue
1:1CAMMS Tasks map to Jira Issues (Story or Task issue type). Parent-child task relationships in CAMMS map to Epic-Story-Subtask or Story-Subtask nesting in Jira depending on the depth of the original hierarchy. Task status, assignees, start/end dates, and effort estimates migrate to Jira Issue fields. Task-level attachments require the parallel file export pipeline.
CAMMS
Risk
Jira
Issue (custom fields)
lossyCAMMS Risks map to Jira Issues using a Risk-dedicated Issue Type (we recommend a custom Issue Type called Risk created in the destination Jira Project). Risk likelihood and impact scores migrate to custom Number fields; risk owner migrates to the Jira Assignee field; mitigation plan migrates to the Issue Description or a linked child Issue. CAMMS risk-to-issue associations require explicit cross-object mapping during the transform phase.
CAMMS
Issue
Jira
Issue
1:1CAMMS Issues (distinct from Risks in CAMMS) map to Jira Issues using the standard Issue issue type. Issue status workflow, priority, and linked project context migrate directly. Issue-to-risk associations in CAMMS do not have a direct Jira equivalent; we create these as Jira linked issues (Blocks/Is blocked by relationship) or as labels during migration.
CAMMS
Budget
Jira
Custom Fields
lossyCAMMS Budget entries have no native Jira equivalent. We map budget lines to Jira Issue custom fields: Planned Cost becomes a Number field, Actual Cost becomes a Number field, and Variance is computed or stored as a read-only Formula field if Jira Premium is used. Cost code schemas and period structures are mapped to custom Select or Text fields. Budget roll-up to portfolio level requires Jira Portfolio or third-party apps post-migration.
CAMMS
Meeting
Jira
Issue or Comment
1:manyCAMMS Meeting records (agenda, attendees, minutes) are decomposed in Jira. The meeting title and key decisions become a Jira Issue; the full agenda and minutes become Issue Description; attendees are mentioned in a first Comment or linked via Labels. Meeting attachments (documents, PDFs) are extracted via the file export pipeline and re-attached to the corresponding Jira Issue.
CAMMS
Document
Jira
Issue Attachment
1:1Documents attached to CAMMS Projects, Tasks, Risks, or Meetings are exported as files in their original format via the parallel attachment pipeline. We recreate the original folder hierarchy in a staging directory and re-link each file to its parent Jira Issue during import using the Jira REST API attachment endpoint. File size limits (75MB per attachment for Jira Cloud, 10MB for Jira Data Center) apply and are communicated during scoping.
CAMMS
User
Jira
User
1:1CAMMS user accounts and resource allocations are extracted and matched to Jira Users by email address. We resolve role-based access assignments (CAMMS project roles, approval authorities) to Jira Project Roles (Administrators, Developers, Users) or Group memberships depending on the destination permission model. Inactive CAMMS users map to Inactive Jira users if historical attribution is required.
CAMMS
Custom Fields
Jira
Custom Fields
lossyCAMMS custom fields are not governed by a stable export schema and have no documented API. We request a written inventory of all active CAMMS custom fields (name, data type, current values) from the customer before scoping. We then configure equivalent Jira custom fields (Text, Number, Select, Multi-Select, Date, User Picker) during Jira schema design. Fields with no Jira equivalent are flagged as manual carry-over items in the handoff documentation.
CAMMS
Approval Workflow
Jira
None (inventory only)
1:1CAMMS custom approval chains and stage-gate workflows do not migrate to Jira as code. Jira does not have a native approval workflow in Jira Software; approvals typically require Jira Automation for DevOps-style chains or a third-party app like Tempo Timesheets for time-based approvals. We deliver a written inventory of every active CAMMS approval workflow (trigger, approver role, conditions, escalation path) for the customer's Jira admin to rebuild post-migration.
| CAMMS | Jira | Compatibility | |
|---|---|---|---|
| Project | Project1:1 | Fully supported | |
| Task | Issue1:1 | Fully supported | |
| Risk | Issue (custom fields)lossy | Fully supported | |
| Issue | Issue1:1 | Fully supported | |
| Budget | Custom Fieldslossy | Mapping required | |
| Meeting | Issue or Comment1:many | Fully supported | |
| Document | Issue Attachment1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Custom Fields | Custom Fieldslossy | Not supported | |
| Approval Workflow | None (inventory only)1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
CAMMS gotchas
No public API forces manual or database-level export
Custom fields lack a stable schema for export
On-premise deployments require IT coordination for database access
Attachment export requires separate file-handling pipeline
Jira gotchas
Unsupported workflow validators silently skipped during migration
Custom fields converted to flat text labels when migrating to non-Jira platforms
Historical status-change timestamps lost when exporting without a Marketplace plugin
Attachment import failures from oversized files and JQL reference corruption
Points-based API rate limits enforced on Jira Cloud apps from March 2026
Pair-specific challenges
Migration approach
Export method assessment and CAMMS coordination
We audit the source CAMMS environment to determine the available export path: cloud-hosted with support export request, or on-premise with database-level access requiring IT coordination and VPN. We request a structured data export from CAMMS support (cloud) or coordinate with the customer's IT team for database credentials and scheduling (on-premise). We begin a parallel attachment export that downloads files in original format and recreates the folder hierarchy in our staging environment. This step typically takes one to three weeks depending on export method and IT response time.
Jira schema design and project structure
We design the destination Jira schema in a Sandbox or development environment. This includes creating Jira Projects (one per CAMMS Project or sub-portfolio), defining Issue Types (Epic, Story, Task, Subtask, and a custom Risk Issue Type), configuring custom fields to receive CAMMS budget data and custom field values, and setting up Jira Labels and linked issue relationships to model CAMMS Risk-to-Issue associations. We also configure permission schemes, notification schemes, and Issue Type screens per project.
Object mapping design and transformation logic
We design the field-level mapping for each CAMMS object against its Jira target: CAMMS Project fields to Jira Project metadata, CAMMS Task fields to Jira Issue fields (Summary, Description, Assignee, Priority, Labels, Sprint if applicable), CAMMS Risk likelihood and impact to custom number fields, CAMMS Budget cost fields to custom number fields. We also design the parent-child hierarchy decomposition rules that split CAMMS Project-Task structures into Jira Epic-Story-Subtask or Project-Epic-Story nesting. The mapping document is reviewed and signed off before any code runs.
Sandbox migration and reconciliation
We run a full migration into a Jira Sandbox or test environment using production-like data volume. The customer's project management lead reconciles record counts, spot-checks 25-50 records against the CAMMS source, and verifies that parent-child hierarchies, risk mappings, budget custom fields, and attachment links appear correctly in Jira. Any mapping corrections happen here, not in production. Attachment file size compliance (75MB Jira Cloud, 10MB Data Center) is verified at this stage.
Production migration in dependency order
We run production migration in record-dependency order: Jira Projects and permission schemes first, then CAMMS Projects (mapped to Jira Projects), then CAMMS Tasks (mapped to Jira Issues with parent-child resolution), then Risks and Issues with custom fields, then Budget data into custom fields, then Meeting records as Jira Issues with descriptions, then Attachments via the Jira REST API attachment endpoint. Each phase emits a row-count reconciliation report. We use Jira REST API with rate-limit handling and exponential backoff; for large datasets we use Jira Bulk API where available.
Cutover, validation, and workflow handoff
We freeze CAMMS writes during cutover, run a final delta migration of any records modified during the migration window, then enable Jira as the system of record. We deliver the approval workflow and governance framework inventory document to the customer's Jira admin for rebuilding in Jira Automation or a third-party workflow app. We support a one-week hypercare window where we resolve any data integrity issues raised by the project team. We do not rebuild CAMMS approval workflows as Jira Automation inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
CAMMS
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Moderate Project Management migration. 1 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across CAMMS and Jira.
Object compatibility
1 of 8 objects need a manual workaround.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
CAMMS: Not publicly documented.
Data volume sensitivity
CAMMS doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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