Project Management migration
Field-level mapping, validation, and rollback between Allfred and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Allfred
Source
Jira
Destination
Compatibility
6 of 10
objects map 1:1 between Allfred and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Allfred to Jira is a structural migration that starts with a manual data export since Allfred has no publicly documented REST or GraphQL API. We work from the Settings export bundle, extract Projects and their nested Tasks, preserve Client and Brand associations, resolve Contractor records against Jira User accounts, and map Kanban board columns to Jira Board columns. Jira's project hierarchy (Projects contain Epics, Stories, Tasks, Bugs) differs from Allfred's flat Project-Task model, so we define the destination issue type schema during scoping before any data moves. Custom fields are particularly risky: Allfred allows per-project field creation with no global schema, meaning the same logical field may exist with different names or types across projects. We build a per-project field map, get customer approval, pre-create every custom field in Jira, and then import values into the correct field references. We do not migrate Allfred automations, Kanban workflow rules, or SharePoint integration links as these are platform-specific configurations requiring rebuild in Jira.
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 Allfred 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.
Allfred
Project
Jira
Project + Issue Type Scheme
1:1Allfred Projects map to Jira Projects as the top-level container. Each Jira Project gets a default Issue Type Scheme defining which issue types (Epic, Story, Task, Bug) are available. Allfred project metadata (name, description, start/due dates, status) migrates to Jira Project fields. Jira Projects do not have a native description field at the project level in all configurations; project overview text migrates as a pinned Wiki Confluence page or stays in project-level custom fields.
Allfred
Task
Jira
Story or Task (Issue Type)
1:1Allfred Tasks map to Jira Story or Task issue types depending on customer preference during scoping. Subtasks nest under parent Tasks as Jira Sub-Tasks with the parent_id reference preserved. Allfred task fields (title, description, assignee, due date, priority, status) map to Jira Summary, Description (Markdown), Assignee (User), Due Date, Priority, and Status respectively. Jira status values are workflow-dependent and require a configured workflow before import.
Allfred
Client
Jira
Component or Project-linked Account
lossyAllfred Client records (company name, contact information) have no direct Jira equivalent. We map Clients to Jira Components within the destination Project, or to a separate Account-style custom field (Client Name, multi-select) on issues. The customer chooses the strategy during scoping based on whether they want client-level filtering across Jira Projects.
Allfred
Brand
Jira
Label or Component
lossyAllfred Brand sub-entities under Clients (brand name, logo, color palette, guidelines) require a custom field or Label in Jira since Jira has no native Brand object. Brand color and guidelines URL migrate as custom text fields. Brand-to-Client parentage is preserved by adding both Client and Brand to the issue record in Jira so the relationship remains queryable.
Allfred
Contractor
Jira
User (with project role)
1:manyAllfred Contractors (name, contact, hourly rate, assignment history) do not have a native Jira equivalent. We migrate Contractor records to Jira User accounts, preserving name and email. Hourly rate and assignment history are not Jira-native fields and migrate to custom fields on the User record. The customer's Jira admin provisions the User accounts before migration or we create them with a flag for admin activation. Archived or inactive contractors migrate as inactive Jira Users.
Allfred
Kanban Board
Jira
Board (Kanban type)
1:1Allfred Kanban board structure (column names, column order, task-to-column assignments) maps to Jira Kanban Boards. We extract the column configuration from the Allfred export bundle, create a corresponding Board in Jira, and map task assignments to the appropriate column via the Jira Backlog or Board column configuration. If Allfred boards use custom column naming conventions, we document them in the mapping notes for the customer's Jira admin to configure in the Board settings.
Allfred
Custom Field (per-project)
Jira
Custom Field (site-wide)
lossyAllfred per-project custom fields require a global schema pre-creation in Jira before migration. We extract every unique custom field definition from the Allfred export, deduplicate across projects (same field name but different types = separate Jira fields), assign Jira field types (Text, Number, Date, Select, Multi-select), and submit the Jira field creation manifest for customer approval. Import fails without pre-created Jira custom fields because Jira requires the field ID at import time. This is the highest-risk step in the migration and requires explicit sign-off.
Allfred
Team Member
Jira
User
1:1Allfred Team Members (name, email, role, avatar) map to Jira Users by email match. We extract every distinct team member from Projects, Tasks, and Kanban boards, match against the Jira destination instance's User table, and provision any missing Users in a reconciliation queue. Role in Allfred (Admin, Member, Contractor) maps to Jira project roles (Administrators, Members) which are configured per Project.
Allfred
File Attachment
Jira
Attachment
1:1Allfred file attachments linked to Projects and Tasks migrate to Jira Issue Attachments via the Jira REST API. Files must be under Jira Cloud's attachment size limit (up to 10 MB depending on plan). Files stored via Allfred's SharePoint integration export as URL references only; these migrate as text URLs in a custom field rather than as hosted files, and the customer must ensure SharePoint access persists post-migration.
Allfred
Settings and Preferences
Jira
Documentation (not migrated)
1:1Allfred workspace settings, notification preferences, and SharePoint integration configurations export as JSON but do not have direct Jira equivalents. We deliver these as a JSON export in the migration handoff documentation for the customer's admin to evaluate for manual reconfiguration in Jira. No settings import into Jira occurs.
| Allfred | Jira | Compatibility | |
|---|---|---|---|
| Project | Project + Issue Type Scheme1:1 | Fully supported | |
| Task | Story or Task (Issue Type)1:1 | Fully supported | |
| Client | Component or Project-linked Accountlossy | Fully supported | |
| Brand | Label or Componentlossy | Fully supported | |
| Contractor | User (with project role)1:many | Fully supported | |
| Kanban Board | Board (Kanban type)1:1 | Fully supported | |
| Custom Field (per-project) | Custom Field (site-wide)lossy | Fully supported | |
| Team Member | User1:1 | Fully supported | |
| File Attachment | Attachment1:1 | Fully supported | |
| Settings and Preferences | Documentation (not migrated)1:1 | Mapping required |
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.
Allfred gotchas
No publicly documented API for bulk data export
Custom fields have no fixed global schema
SharePoint integration files export as URL references only
Loading delays during platform updates cause brief outages
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
Discovery and manual export
We audit the Allfred export bundle for Projects, Tasks, Clients, Brands, Contractors, Kanban board structure, custom field definitions, and file attachments. We identify the unique custom field set across all projects and flag any field type conflicts (same name, different type across projects). We confirm the export was run immediately before scoping to minimize stale data. The discovery output is a written migration scope listing record counts per object, the deduplicated custom field manifest, and the Kanban board structure breakdown.
Jira project and schema pre-creation
We create Jira Projects, Issue Type Schemes, and Screens before data import. We pre-create every Jira custom field from the deduplicated Allfred field manifest, assigning Jira field types that match the Allfred data. We configure Kanban Boards in Jira with column names matching the Allfred board structure. Workflows are not created in this step; they are documented from Allfred for manual rebuild post-migration. All schema work occurs in the customer's Jira Cloud instance before any data ingestion begins.
Contractor and User reconciliation
We extract every distinct Allfred Contractor and Team Member, match by email against the Jira destination User table, and provision any missing Jira Users. Contractors without email matches go to a reconciliation queue for the customer's admin to resolve (assign to existing Jira Users or provision new accounts). Jira requires at least one active User before Issue import can succeed. This step gates all subsequent phases.
Sandbox or test-environment migration
We run a full migration into the customer's Jira Cloud instance using production-equivalent data volume on a subset of Projects. The customer's project lead spot-checks 25-50 randomly selected issues against the Allfred source, validates custom field values, and confirms Kanban board column mapping. Any field type mismatches, missing required fields, or mapping errors are corrected in the Jira instance and the field manifest before production migration begins. This is the only validation gate before cutover.
Production migration in dependency order
We run production migration in record-dependency order: Jira Users (validated from step 3), Jira Projects and Issue Type Schemes, Jira Custom Fields (pre-created), Issues (Allfred Tasks mapped to Story/Task, with Sub-Tasks resolved by parent_id), Custom Field values (per-issue), Kanban Board column assignments (via Jira Board API), File Attachments (via Jira Attachment API), and SharePoint URL references (as custom text fields). Each phase emits a row-count reconciliation report. We use Jira REST API with rate-limit handling and exponential backoff.
Cutover, validation, and automations handoff
We freeze Allfred writes during cutover, run a final delta import of any records modified during the migration window, and enable Jira as the system of record. We deliver the Kanban board column mapping documentation and workflow notes to the customer's Jira admin team for Automation for Jira and Workflow rebuild. We support a one-week hypercare window for reconciliation issues. We do not rebuild Allfred Kanban workflows as Jira Automations inside the migration scope; that is separate work for the customer's Jira admin or an Atlassian partner.
Platform deep dives
Allfred
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Allfred and Jira.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
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
Allfred: Not publicly documented.
Data volume sensitivity
Allfred 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
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FAQ
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