Project Management migration

Migrate from ITM Platform to Jira

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

ITM Platform logo

ITM Platform

Source

Jira

Destination

Jira logo

Compatibility

64%

7 of 11

objects map 1:1 between ITM Platform and Jira.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

ITM Platform and Jira serve different ends of the project management spectrum: ITM Platform is a portfolio-and-program management tool with strategic alignment dashboards and baseline tracking for mid-market IT and professional services teams, while Jira is an issue-tracking and Agile delivery platform with deep sprint planning, Git integration, and a 3,000-plus plugin ecosystem. Migrating between them requires flattening ITM Platform's three-tier hierarchy (Portfolio > Program > Project) into Jira's single Project container, mapping ITM Tasks to Jira Issue types (Story, Task, Bug, Subtask), and resolving the absence of a native Risk entity in standard Jira without an add-on. We export via ITM Platform's REST API with pagination-aware looping and automatic session re-authentication every 28 minutes, then load into Jira via the REST API with exponential backoff and batch chunking. We do not migrate Workflows, automations, or scheduled reports as code; we deliver a written inventory of every rule requiring rebuild in Jira Automation or ScriptRunner post-migration.

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

ITM Platform logo

ITM Platform

What's pushing teams away

  • Browser-specific rendering issues mean some team members experience degraded UI loading or layout problems depending on which browser they use.
  • Mid-market feature set can feel limiting as organizations scale — particularly around advanced resource heatmaps, capacity forecasting, and enterprise reporting integrations.
  • Absence of public API documentation or rate-limit disclosures makes it difficult for technical teams to build reliable integrations or automated data pipelines.
  • Limited awareness outside Spanish-speaking markets means organizations with global teams struggle to find community support, training resources, or local implementation partners.
  • No clear enterprise tier differentiation in public pricing makes it hard for large organizations to evaluate whether the platform scales to their user count and data volume needs.

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 ITM Platform objects map to Jira

Each row shows how a ITM Platform 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.

ITM Platform

Portfolio

maps to

Jira

Jira Project or Project Category

lossy
Fully supported

ITM Platform Portfolios are top-level containers grouping Programs and Projects. We map each Portfolio to a Jira Project Category for organizational grouping, or to a dedicated Jira Project with an Epic structure if the customer requires portfolio-level reporting in Jira Dashboards. The choice depends on how many Jira Projects the migration generates and whether Advanced Roadmaps is licensed.

ITM Platform

Program

maps to

Jira

Jira Project or Epic

lossy
Fully supported

ITM Platform Programs group related Projects under a Portfolio. We map Programs to Jira Projects where the Program has more than 20 child Projects and warrants its own Jira project, or to Epics within the parent Jira Project where the Program maps to a Portfolio Category. Strategic alignment tags from the Program migrate to Jira labels or a custom Program__c field.

ITM Platform

Project

maps to

Jira

Jira Project

1:1
Fully supported

ITM Platform Projects map directly to Jira Projects. Each Jira Project is created with the appropriate project type (Team-managed or Company-managed) based on the customer's chosen Jira governance model. Project dates, status, budget, and owner migrate to Jira Project properties or custom fields. ITM Project methodology (Agile or Waterfall) determines the initial Jira Board configuration.

ITM Platform

Task

maps to

Jira

Story, Task, or Bug

1:1
Fully supported

ITM Platform Tasks map to Jira Issue types. We map based on the ITM Platform task type and the customer's configuration: standard work tasks become Jira Task, deliverables with acceptance criteria become Jira Story, and defects found during execution become Jira Bug. The mapping is configurable during scoping based on the customer's existing Jira issue type scheme.

ITM Platform

Subtask

maps to

Jira

Subtask

1:1
Fully supported

ITM Platform Subtasks map to Jira Subtask issues, linked to the parent Jira issue via the Parent Link field. Where the destination Jira project uses a Team-managed project without Subtask enabled, we flatten Subtasks into a structured checklist field or as separate Jira Tasks with a parent relationship label. Task dates, status, assignee, and estimated hours migrate directly.

ITM Platform

Milestone

maps to

Jira

Fix Version or Due Date

lossy
Fully supported

ITM Platform Milestones are date-driven markers belonging to Projects or Tasks. We map milestone dates to Jira Fix Version (Releases) where milestones represent deliverable checkpoints, or to the Issue Due Date where a milestone maps to a specific task. The migration is configurable per milestone during scoping, and we preserve the milestone name as the Fix Version name or as a custom milestone__c field on the issue.

ITM Platform

Baseline

maps to

Jira

Structured Dataset (custom field)

1:1
Fully supported

ITM Platform Baselines capture schedule, cost, and revenue snapshots per project. Jira has no native baseline comparison feature outside of Advanced Roadmaps. We extract all baseline records as a structured JSON or CSV dataset and attach it to the Jira Project as a custom Baselines__c field or as a Confluence page linked from the Jira Project. The customer reconciles baselines post-migration using Advanced Roadmaps or a third-party plugin.

ITM Platform

Risk

maps to

Jira

Issue (custom type) or custom fields

lossy
Fully supported

ITM Platform Risks are a distinct entity with probability, impact, owner, and mitigation plan. Jira Software does not have a native Risk object. We map Risks to Jira Issues using a custom Risk Issue type (if the customer's Jira scheme includes one) or to standard Jira Issues with custom fields: Probability__c, Impact__c, Mitigation__c, and Risk_Status__c. The customer configures the Risk issue type scheme during scoping.

ITM Platform

Custom Fields

maps to

Jira

Jira Custom Fields

1:1
Mapping required

ITM Platform entity-scoped custom fields (project, task, purchase, risk) map to Jira custom fields of equivalent data type. We extract the custom field definition (key, type, options) and create Jira custom fields with matching names in the destination Jira instance. Text, number, date, and select fields map directly. Multi-select and checkbox fields map to Jira multi-select or label fields. Custom field configuration (screens, default value, search template) is deployed via Jira REST API after schema validation.

ITM Platform

Time Entries

maps to

Jira

Worklog

1:1
Mapping required

ITM Platform time entries track hours logged against Tasks or Projects. We map these to Jira Worklog records linked to the corresponding Jira Issue. Each worklog preserves date, hours, user (resolved via email match), and description. Jira requires the user making the worklog API call to match the worklog author; we handle this by using the ITM Platform user email to resolve the Jira accountId before inserting each worklog record.

ITM Platform

User

maps to

Jira

Jira User

1:1
Fully supported

ITM Platform Users are referenced across Tasks, Risks, Assignments, and Time Entries. We extract the full user list (name, email, role) and match by email against the Jira destination site's user directory. Any ITM Platform user without a matching Jira accountId goes to a reconciliation queue for the customer's admin to provision before record import proceeds. We do not create Jira accounts via API without explicit admin authorization.

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.

ITM Platform logo

ITM Platform gotchas

High

API session token expires 30 minutes after last call

Medium

v1 and v2 API endpoints coexist with no clear upgrade path

Medium

No documented bulk or batch API endpoint

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

  • No bulk export endpoint on ITM Platform

    ITM Platform's API is REST-based returning JSON per resource with no documented batch or bulk export endpoint. Large portfolios require pagination-aware looping across offset/page parameters, which adds latency and multiplies API call volume. Combined with the 30-minute session token expiry, long-running exports risk silent session loss. We handle both by monitoring token timestamps, re-authenticating every 28 minutes before batch commits, and pacing requests to avoid undocumented throttling. The customer should expect longer export windows for portfolios with more than 500 projects.

  • Portfolio-Program-Project hierarchy has no Jira equivalent

    ITM Platform's three-tier hierarchy (Portfolio > Program > Project) does not map cleanly to Jira's flat Project model. Jira has Projects and, within them, Epics and Issues. We resolve this by mapping ITM Portfolios to Jira Project Categories or top-level Jira Projects, ITM Programs to Jira Projects or Epics, and ITM Projects to Jira Projects. The customer chooses the flattening strategy during scoping based on how many Jira Projects they are willing to manage and whether Advanced Roadmaps is licensed for cross-project reporting.

  • Jira has no native Risk entity

    ITM Platform treats Risks as a first-class entity with probability, impact, owner, and mitigation plan fields. Jira Software has no native Risk object; the Risk custom type is only available through Marketplace add-ons such as BigPicture or Structure. We map Risks to standard Jira Issues with custom fields, but the customer must decide whether to install a Risk add-on before migration or accept Risks as labeled Issues without the probability-impact matrix. We do not include add-on installation in the standard migration scope.

  • ITM Platform session tokens expire after 30 minutes

    ITM Platform generates a session token from a static API key, and that token expires 30 minutes after the last API call. During migration, any pause for validation, chunking, or rate-limit backoff can silently lose the session and cause the next batch to fail with a 401. We handle this by tracking token expiry timestamps and re-authenticating automatically before each new batch, ensuring no partial export is committed. We flag if the customer's API key is overdue for rotation before migration begins.

  • Baseline snapshots have no Jira native equivalent

    ITM Platform stores unlimited baselines per project as schedule, cost, and revenue aggregates. Jira has no native baseline comparison feature in standard Software or Business tiers. Advanced Roadmaps provides some timeline comparison but not the cost-revenue snapshot model that ITM Platform uses. We extract all baseline records and store them as a structured dataset attached to the Jira Project. The customer should plan to use Advanced Roadmaps, a third-party plugin, or a spreadsheet for baseline comparison post-migration.

Migration approach

Six steps for a successful ITM Platform to Jira data migration

  1. Source audit and Jira schema design

    We audit the ITM Platform tenant across Projects, Programs, Portfolios, Tasks, Subtasks, Baselines, Milestones, Risks, Purchases, Custom Fields, Time Entries, and Users. We probe both v1 and v2 API endpoints to confirm which version serves each entity type. We design the Jira destination schema: Jira Projects (Team-managed or Company-managed per the customer's governance choice), Issue Type scheme (Story, Task, Bug, Subtask, Risk), Fix Version structure, Custom Fields with types, and a user reconciliation map. The output is a written scope document and Jira schema design for the customer's admin to review before we proceed.

  2. Risk and baseline handling decision

    We confirm the customer's chosen approach for Risks (native Issues with custom fields vs. add-on) and Baselines (structured dataset vs. Confluence page). These are the two objects without a direct Jira equivalent and require a configuration decision before migration. We pre-create the custom fields in Jira via REST API and validate that they appear in the correct Screens and Issue Type schemes. If the customer has purchased Advanced Roadmaps, we confirm baseline mapping into its data model.

  3. User reconciliation and Jira account provisioning

    We extract every distinct ITM Platform user referenced on Tasks, Risks, Assignments, and Time Entries and match by email against the destination Jira site's user directory. Users without a matching Jira accountId go to a reconciliation spreadsheet for the customer's admin to provision. Migration cannot insert Time Entries or issue assignments without a resolved Jira accountId. We do not create Jira users programmatically unless explicitly authorized and supplied with the required provisioning parameters.

  4. Sandbox migration and reconciliation

    We run a full migration into a Jira Sandbox or a dedicated test Jira Cloud site using production-like data volume. The customer reconciles record counts (Projects, Issues, Subtasks, Risks, Time Entries), spot-checks 25-50 records against the ITM Platform source, and confirms that custom field values, assignee mappings, and worklogs landed correctly. Any mapping corrections are made before production migration begins. Jira Cloud Migration Assistant is not used for this migration because JCMA is designed for Jira Server-to-Jira Cloud moves, not cross-platform migrations.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira Projects (created first), Issues (Tasks, Stories, Bugs with Subtasks), Risks (with custom fields resolved), Time Entries (as Jira Worklogs via REST API with accountId lookup), and Baselines (as structured datasets attached to the Jira Project). Each phase emits a row-count reconciliation report before the next phase begins. ITM Platform writes are not frozen during migration; we run delta passes to capture records modified during the migration window before cutover.

  6. Cutover, validation, and automation rebuild handoff

    We run a final delta migration of any records modified during the migration window, then deliver the production reconciliation report to the customer's project manager. We deliver a written inventory of every ITM Platform workflow rule, scheduled report, and automation requiring rebuild in Jira Automation or ScriptRunner. We do not rebuild automations as code inside the migration scope. We support a one-week post-cutover window for reconciliation issues. Jira dashboard and report rebuilding is outside the standard migration scope and can be scoped as a separate engagement.

Platform deep dives

Context on both ends of the pair

ITM Platform logo

ITM Platform

Source

Strengths

  • Strategic alignment view tying individual projects to business-level goals and measurable KPIs.
  • Dashboard reporting with portfolio-level health metrics accessible to executives and PMO leaders.
  • Unlimited baseline tracking per project capturing schedule, cost, and revenue across planning scenarios.
  • Supports both Agile and Waterfall methodologies within a single platform, reducing tool sprawl for mixed-methodology organizations.
  • Custom field system applied across Projects, Tasks, Risks, and Purchases allows vertical-specific data capture without code.

Weaknesses

  • No publicly documented API rate limits or bulk export endpoints, making large-scale automated migration difficult to plan.
  • Browser-specific rendering inconsistencies reported by some team members depending on their browser choice.
  • Mid-market positioning may not satisfy enterprise requirements around SSO, audit logs, and role-based access control granularity.
  • API versioning split between v1 and v2 with v1 examples throughout documentation creates versioning ambiguity for integrators.
  • Limited international community presence outside Spanish-speaking markets reduces availability of third-party support and training resources.
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?

Moderate Project Management migration. 1 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

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

  • Object compatibility

    C

    1 of 8 objects need a manual workaround.

  • 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

    ITM Platform: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your ITM Platform 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 ITM Platform to Jira data migrations

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

Can't find your answer?

Walk through your ITM Platform to Jira migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between three and five weeks for accounts under 5,000 Tasks, 50 Projects, and no complex custom object structures. Migrations with multi-level Program hierarchies, extensive custom field sets on Risks and Purchases, large baseline histories, or multiple Jira Projects requiring separate configuration move to six to ten weeks because of the flattening logic, custom field schema design, and Jira configuration validation passes.

Adjacent paths

Related migrations to explore

Ready when you are

Move from ITM Platform.
Land in Jira, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day