Project Management migration
Field-level mapping, validation, and rollback between Kantata Professional Services Cloud (formerly Mavenlink + Kimble) and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
Source
Jira
Destination
Compatibility
9 of 11
objects map 1:1 between Kantata Professional Services Cloud (formerly Mavenlink + Kimble) and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Kantata Professional Services Cloud to Jira is a project-centric migration that strips out the PSA layer. Kantata tracks work hierarchically inside Workspaces with integrated resource assignments, billing rates, estimates, and time entries; Jira stores those same project, task, and subtask records as Issues inside Projects. We extract the workspace-task-subtask graph from Kantata, map each object type to its Jira equivalent, and write the hierarchy into a pre-configured Jira project. Financial objects—invoices, billing rates, estimates, scenarios, and resource assignments—do not have native Jira equivalents; we flag these as custom-field candidates or attach them as linked records in the migration report. Automations, billing rules, and workflow triggers built inside Kantata do not migrate. We deliver a written inventory of every active automation requiring rebuild in Jira Automation or Forge.
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.
Source platform
Kantata Professional Services Cloud (formerly Mavenlink + Kimble) platform overview
Scorecard, SWOT, gotchas, and pricing for Kantata Professional Services Cloud (formerly Mavenlink + Kimble).
Destination platform
Jira platform overview
Scorecard, SWOT, gotchas, and pricing for Jira.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Kantata Professional Services Cloud (formerly Mavenlink + Kimble) 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.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
Workspace
Jira
Project
1:1Kantata OX Workspaces and Kantata SX Projects map directly to Jira Projects. During extraction we identify which product line each workspace belongs to by querying the workspace's internal product_type identifier, then apply the correct field map. The Jira Project must be created with the appropriate issue type scheme and workflow before workspace records insert, because Jira requires the project key prefix to exist before Issues can be assigned to it.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
Task / Story (OX)
Jira
Story / Task / Bug
1:1Kantata OX Tasks and Stories map to Jira Issue subtypes (Story, Task, Bug) based on the task's type identifier in Kantata. We read the task.type field and map STORY to Jira Story, TASK to Jira Task, and any BUG identifier to Jira Bug. The parent-child hierarchy (task.subtask_ids) reconstructs as Jira subtasks attached to their parent Issue. Subtask nesting beyond two levels in Kantata may exceed Jira's subtask depth, which we flag during scoping.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
Subtask
Jira
Subtask
1:1Kantata Subtasks attach to parent Tasks and inherit some parent-level fields. Jira Subtasks are a first-class issue subtype. We map subtask.parent_id to the Jira parent Issue key, preserving the title, description, status, and assignee. WBS numbering from Kantata's New Task Tracker does not transfer to Jira; we include the original WBS path in the Issue description as a reference note.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
User
Jira
User
1:1Kantata Users (internal staff and contractors) map to Jira Users by email address. We extract every user referenced on resource assignments, time entries, and task assignments, then resolve by email against the Jira Cloud or Data Center instance. Any Kantata user without a matching Jira account goes to a reconciliation queue for the customer's admin to provision before record import begins.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
Resource Assignment
Jira
Custom Field (User Assignee + Role)
lossyKantata resource assignments carry User, Task, Role, hours allocated, and billing rate. Jira has no native role or billing rate field. We map the assigned User to Jira's standard Assignee field and encode the Role and billing rate as Jira custom fields (single-select for role, currency for rate). The hours allocated becomes a custom number field. If billing rate visibility is sensitive, we discuss field-level security configuration during scoping.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
Time Entry
Jira
Worklog (via Tempo or native)
1:1Kantata time entries carry date, user, hours (billable/non-billable), task reference, and notes. Jira natively supports Worklogs on Issues. We map the time entry date and hours to Jira Worklog entries linked by Issue key, with the original Kantata billable flag preserved as a custom Worklog field if Jira Premium is in use, or as a Jira Issue custom field if Standard tier.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
Estimate / Scenario
Jira
Custom Field or Linked Document
1:1Kantata Estimates model supply-and-demand scenarios using role-based resource composition and margin projections with versioned scenarios per workspace. Jira has no scenario modeling feature. We extract all active and historical estimate records as structured JSON and attach them as Jira Issue links or store them in a Confluence page linked from the Project, with the estimate values migrated as custom fields on the Issue for immediate visibility.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
Custom Field
Jira
Custom Field
1:1Kantata custom fields are organized by subject_type (Estimate, Story, User, Workspace, WorkspaceGroup, Resource). Custom Fields and Custom Field Values are separate API objects, each with independent rate limits. We apply subject_type-scoped pagination and queue-based rate management during extraction to avoid 429 errors. Destination Jira custom fields are created at the project level and mapped by field name and type (text, number, date, single-select, multi-select) with exact value matching for choice fields.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
Billing / Invoice
Jira
Linked Attachment or Confluence Page
1:1Kantata billing allows multiple invoices per project, tied to workspace and resource assignment records with billing rates, milestone triggers, and expense codes. Jira has no accounts receivable or invoicing module. We export the full invoice history as a structured data file and attach it to the Jira Project as a linked record, or store it in Confluence pages linked from the Project homepage. Line items that reference specific tasks are cross-referenced by task name in the attachment.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
WorkspaceGroup (Group)
Jira
Project Category or Jira Portfolio
lossyKantata WorkspaceGroups organize workspaces into portfolios or folders and carry their own custom fields. Group-level custom field values require a separate API call scoped to WorkspaceGroup. Jira equivalents are Jira Project Categories (for grouping related Projects) or Jira Portfolio for hierarchical portfolio views. We map the workspace group hierarchy to the chosen Jira grouping structure during schema design.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
External Reference
Jira
Issue Link
1:1Kantata external references link workspace and task records to objects in external systems—for Kantata SX customers this includes Salesforce Opportunity and Account IDs. Jira Issue Links provide a native way to express cross-system relationships. We map Kantata external references to Jira Issue Links using the referenced system's identifier (e.g., Salesforce ID stored in a custom field with a link type such as 'References SF Opportunity').
| Kantata Professional Services Cloud (formerly Mavenlink + Kimble) | Jira | Compatibility | |
|---|---|---|---|
| Workspace | Project1:1 | Fully supported | |
| Task / Story (OX) | Story / Task / Bug1:1 | Fully supported | |
| Subtask | Subtask1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Resource Assignment | Custom Field (User Assignee + Role)lossy | Fully supported | |
| Time Entry | Worklog (via Tempo or native)1:1 | Fully supported | |
| Estimate / Scenario | Custom Field or Linked Document1:1 | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Billing / Invoice | Linked Attachment or Confluence Page1:1 | Fully supported | |
| WorkspaceGroup (Group) | Project Category or Jira Portfoliolossy | Fully supported | |
| External Reference | Issue Link1:1 | 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.
Kantata Professional Services Cloud (formerly Mavenlink + Kimble) gotchas
Dual-product data model: Kantata OX vs. SX schema divergence
Custom Field Values have independent API rate limits
Subtask WBS numbering breaks with deep nesting in the New Task Tracker
Billing invoice history requires financial object co-migration
Customer Portal migration caused case status renaming in SX support system
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 Kantata product line identification
We audit the source Kantata environment across all workspaces, tasks, subtasks, users, resource assignments, time entries, custom fields (with subject_type), and billing records. We identify whether each workspace belongs to Kantata OX or Kantata SX by querying the workspace's internal product_type identifier. We extract a full record count per object type, note any deeply nested subtask hierarchies (where WBS numbering may be affected), and inventory any active billing rules or financial configurations that require special handling. The discovery output is a written migration scope with record counts and a Kantata-to-Jira schema map for each identified product line.
Jira project schema design
We design the destination Jira project structure: project key, issue type scheme (Epic, Story, Task, Bug, Subtask), workflow, custom fields (mapped from Kantata custom fields), and any project-level security settings. If the customer uses Jira Premium or Standard, we configure Worklog fields for time entry migration. We also design the custom fields for resource assignment data (role, billing rate, allocated hours) and any financial data the customer wants visible on Issues. Jira API access is verified at this stage. The Jira schema is deployed to a staging environment first.
Sandbox migration and reconciliation
We run a full migration into the Jira staging environment using production-like data volumes. The customer's project manager and Jira administrator reconcile record counts (Projects in, Issues in, Subtasks in, Worklogs in), spot-check 25-50 random issues against the Kantata source for field accuracy and hierarchy correctness, and verify that custom field values populated correctly. Any mapping corrections, missing field types, or Jira configuration gaps are resolved in staging before production migration begins.
User reconciliation and Jira provisioning
We extract every distinct Kantata user referenced on resource assignments, time entries, and task assignments and match by email against the Jira destination instance. Any Kantata user without a matching Jira account goes to a reconciliation queue. The customer's Jira admin provisions missing users (active or inactive depending on whether the original Kantata user is still active). Migration cannot proceed past this step because Jira Assignee and Worklog Author fields require valid Jira user references.
Production migration in dependency order
We run production migration in record-dependency order: Jira Projects are created first, followed by Epic-level Issues, then Story and Task-level Issues, then Subtasks. Worklogs attach to Issues after the Issue parent record is confirmed to exist. Custom fields for resource assignment data (role, billing rate) are written alongside their parent Issue records. Financial data—invoices, estimates, billing rates not encoded in custom fields—exports as a structured JSON file and is delivered as a Jira-attached file or Confluence-linked document with cross-references by project and task name.
Cutover, validation, and automation rebuild handoff
We freeze Kantata writes during cutover, run a delta migration of any records modified during the migration window, then enable Jira as the system of record. We deliver the migration report including record counts, any records that could not be migrated (with reason codes), and the automation inventory document listing every Kantata workflow, billing rule, and resource trigger that requires a Jira Automation or Forge app rebuild. We support a one-week hypercare window for reconciliation issues. We do not rebuild Kantata automations as Jira Automation inside the migration scope; that is a separate engagement.
Platform deep dives
Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
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 Kantata Professional Services Cloud (formerly Mavenlink + Kimble) 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
Kantata Professional Services Cloud (formerly Mavenlink + Kimble): Documented in Kantata Knowledge Base; separate limits apply to Custom Field Values endpoint versus standard object endpoints.
Data volume sensitivity
Kantata Professional Services Cloud (formerly Mavenlink + Kimble) 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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Other ways to leave Kantata Professional Services Cloud (formerly Mavenlink + Kimble)
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Same-Project Management migrations
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