Project Management migration

Migrate from Allfred to Jira

Field-level mapping, validation, and rollback between Allfred and Jira. We move data and schema; workflows are rebuilt natively in Jira.

Allfred logo

Allfred

Source

Jira

Destination

Jira logo

Compatibility

60%

6 of 10

objects map 1:1 between Allfred and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Allfred logo

Allfred

What's pushing teams away

  • Occasional loading delays during platform updates frustrate teams during active project work when seconds matter
  • Limited third-party integrations outside SharePoint forces agencies to rebuild workflows or abandon tools they already rely on
  • Smaller ecosystem and community compared to established PM platforms like Monday.com or Asana means fewer pre-built templates and workflow recipes
  • Onboarding takes days to weeks depending on team size, which can feel slow for smaller agencies wanting immediate access
  • G2 rating of 4.7 with only 53 reviews suggests a relatively small customer base, making peer references and case studies harder to find

Choosing

Jira logo

Jira

What's pulling them in

  • Industry-standard tool with deep Git integration and sprint reporting that engineering teams already know, reducing onboarding friction for new hires.
  • Highly customizable workflows and status schemes let business teams model complex approval chains without writing code.
  • Strong ecosystem of Atlassian Marketplace apps means specialized capabilities like time tracking or portfolio management are one install away.
  • Free tier with up to 10 users and unlimited issues gives small teams a no-cost entry point to validate the platform before committing budget.
  • Visibility features — boards, backlog grooming, sprint reports, and dashboards — give leadership a shared view of what is planned, in progress, blocked, and done.

Object mapping

How Allfred objects map to Jira

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

maps to

Jira

Project + Issue Type Scheme

1:1
Fully supported

Allfred 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

maps to

Jira

Story or Task (Issue Type)

1:1
Fully supported

Allfred 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

maps to

Jira

Component or Project-linked Account

lossy
Fully supported

Allfred 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

maps to

Jira

Label or Component

lossy
Fully supported

Allfred 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

maps to

Jira

User (with project role)

1:many
Fully supported

Allfred 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

maps to

Jira

Board (Kanban type)

1:1
Fully supported

Allfred 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)

maps to

Jira

Custom Field (site-wide)

lossy
Fully supported

Allfred 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

maps to

Jira

User

1:1
Fully supported

Allfred 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

maps to

Jira

Attachment

1:1
Fully supported

Allfred 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

maps to

Jira

Documentation (not migrated)

1:1
Mapping required

Allfred 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.

Gotchas + challenges

What specifically takes care here

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 logo

Allfred gotchas

High

No publicly documented API for bulk data export

Medium

Custom fields have no fixed global schema

Medium

SharePoint integration files export as URL references only

Low

Loading delays during platform updates cause brief outages

Jira logo

Jira gotchas

High

Unsupported workflow validators silently skipped during migration

High

Custom fields converted to flat text labels when migrating to non-Jira platforms

Medium

Historical status-change timestamps lost when exporting without a Marketplace plugin

Medium

Attachment import failures from oversized files and JQL reference corruption

Medium

Points-based API rate limits enforced on Jira Cloud apps from March 2026

Pair-specific challenges

  • Allfred has no API; migration runs from a manual export bundle

    Allfred does not publish a REST or GraphQL API for programmatic data access. All data export is performed through the Settings > Account > Data Export UI, producing a manual download bundle. We work from this bundle as the migration source. Customers must initiate the export immediately before migration scoping to minimize stale data risk. Any records modified between the export timestamp and migration start date require a delta export and re-import. We flag this dependency in the discovery checklist and schedule export and import in the same working session where feasible.

  • Jira requires custom fields pre-created before any data import

    Jira Cloud requires custom fields to be created in the Jira admin panel before data can be written to them. Allfred allows per-project custom field creation with no global schema, meaning the same logical field may appear as different types across projects. We extract all unique custom field definitions, deduplicate by name and type, and submit a Jira field creation manifest for customer approval. Import cannot proceed until Jira fields exist with matching IDs. Mismatched field types (e.g., Allfred stores a number as text in one project and as a number in another) require separate Jira fields per project variant.

  • SharePoint integration files migrate as URL text only

    When Allfred stores files via SharePoint integration, the platform stores a reference URL rather than a hosted file. During migration, we export these URLs as-is and place them in a custom text field on the Jira issue. If the SharePoint site permissions change, the destination Jira team loses access to those files. We alert customers to any SharePoint-linked files in the export bundle and recommend migrating those files separately via SharePoint's native export tools before cutover. Jira does not host SharePoint URLs natively and cannot re-host the files automatically.

  • Jira workflow and automation rules do not migrate from Allfred

    Allfred's Kanban column states and workflow rules are platform-specific configurations with no direct Jira equivalent. Jira Workflows (status transitions, validators, post-functions) and Automation for Jira rules require rebuild in the Jira admin interface after migration. We document the Allfred Kanban column names, column order, and any status-based automation logic in the migration handoff document. The customer's Jira admin rebuilds these as Jira Workflows and Automation rules. Jira Workflow migration between Jira instances requires third-party tools (Project Configurator for Jira, etc.) not available for non-Jira sources.

Migration approach

Six steps for a successful Allfred to Jira data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Allfred logo

Allfred

Source

Strengths

  • Unlimited file storage removes storage anxiety for creative and media-heavy agency teams
  • SharePoint integration lets Microsoft 365 shops keep files in their existing ecosystem
  • Step-by-step onboarding with hands-on data import reduces setup friction for new teams
  • 24/7 support ensures distributed teams across time zones get timely assistance
  • 4.7 rating on G2 from 53 reviews indicates generally satisfied customers despite loading delay complaints

Weaknesses

  • Only 53 G2 reviews suggests a relatively small and unproven customer base compared to established PM platforms
  • Limited third-party integrations beyond SharePoint requires workarounds or abandoned tools for complex tech stacks
  • Occasional loading delays during updates disrupt active work sessions
  • No publicly documented API for programmatic data access limits automation possibilities
  • Onboarding takes days to weeks depending on team size, slower than self-serve alternatives
Jira logo

Jira

Destination

Strengths

  • Deeply customizable workflows and status schemes with no hard limits on workflow complexity or number of custom statuses.
  • Strong agile ceremony support: sprint planning, backlog grooming, velocity tracking, and burndown charts for Scrum teams.
  • Industry-standard developer tool with native Git integration linking commits, pull requests, and deployments to issues.
  • Large Atlassian Marketplace with thousands of plugins extending time tracking, portfolio management, and reporting capabilities.
  • Free tier available for up to 10 users with unlimited issues, enabling evaluation before committing to a paid plan.

Weaknesses

  • Excessive configurability creates a steep learning curve; cross-team consistency is hard to maintain without strict governance.
  • Performance degrades with large backlogs, complex custom fields, and heavily nested issue hierarchies.
  • Reporting requires additional configuration or paid plugins; out-of-the-box analytics are limited for business users.
  • Jira lacks native sprint management, requiring Jira Software for true agile team features.
  • Teams outside engineering resist adoption due to UI complexity, leaving the all-in-one promise unfulfilled for cross-functional organizations.

Complexity grading

How hard is this migration?

Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Allfred and Jira.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Allfred: Not publicly documented.

  • Data volume sensitivity

    B

    Allfred doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Allfred to Jira migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Allfred to Jira data migrations

Answers to the questions buyers ask most during Allfred to Jira migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 5,000 Tasks with fewer than 20 unique custom field definitions. Migrations with extensive per-project custom field schemas (50+ unique fields), multiple Kanban boards, or large file attachment libraries move to eight to twelve weeks because of field manifest approval cycles and Jira Board configuration. The Allfred export timeline (manual, depends on data volume) adds 1-3 days to discovery.

Adjacent paths

Related migrations to explore

Ready when you are

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