Project Management migration
Field-level mapping, validation, and rollback between Antura and monday Work Management. We move data and schema; workflows are rebuilt natively in monday Work Management.
Antura
Source
monday Work Management
Destination
Compatibility
9 of 12
objects map 1:1 between Antura and monday Work Management.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Antura lacks a public API, which means every migration proceeds through CSV export from the application UI followed by data transformation into monday.com's board-item-column model. We guide clients through Antura's export process, chunk large datasets for processing, and discover the active custom field schema manually during scoping because Antura exposes no metadata API for automated introspection. We map Antura Projects to monday.com Boards, Sub-projects to Board Groups, and Tasks to Board Items with status, assignee, date, and description columns. Resource allocations from Antura require custom person and formula columns in monday.com since the platform lacks native capacity planning. Portfolio hierarchy flattens into monday.com's workspace and board structure. We do not migrate automations or workflows; we deliver a written inventory for the customer admin to rebuild in monday.com's Automation Center.
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 Antura object lands in monday Work Management, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Antura
Project
monday Work Management
Board
1:1Antura Projects map directly to monday.com Boards. We preserve project status workflow, dates, budgets, and responsible owners as board metadata and configuration. The board name comes from the Antura project name, and we set the board's workspace during import based on whether the Antura project belongs to a portfolio group.
Antura
Sub-project
monday Work Management
Board Group
1:1Antura Sub-projects nest under parent Projects and inherit portfolio-level metadata. We map these to monday.com Groups within the parent Board, preserving the sub-project name, status, dates, and owner as group-level column data. The parent-child relationship is maintained by placing both in the same Board with the parent Project as the board root.
Antura
Task
monday Work Management
Board Item
1:1Antura Tasks map to monday.com Board Items. We preserve task status, assignees, dates, and descriptions as typed columns in the destination board. Antura's flat task structure under Projects means we do not encounter subtask nesting; any parent-child task relationships in Antura require manual flagging during scoping because monday.com Groups do not support hierarchical item nesting natively.
Antura
Resource
monday Work Management
Person Column
1:1Antura Resources represent employees with capacity data, skills, and cost rates. We map the resource name and email to monday.com's Person column type. Capacity percentages and utilization data have no native monday.com equivalent; we create formula columns or numeric columns to capture utilization percentages, and note that cost rate fields require a numeric column with manual configuration since monday.com lacks a native cost-rate field type.
Antura
Resource Allocation
monday Work Management
Person Column + Numeric Column
1:1Antura Resource Allocations link a Resource to a Project with an allocation percentage. We preserve these as Person column assignments (the resource) paired with a numeric column (the percentage) on each board item representing the work package. This is a configuration workaround because monday.com has no native allocation object.
Antura
Risk
monday Work Management
Board Item with Custom Columns
1:1Antura Risks track severity, probability, owner, and mitigation fields. We map these to monday.com Board Items using status, numeric, and person columns for the risk attributes. The risk description and mitigation notes map to a text column. We flag that monday.com has no native risk object, so risk data lives alongside project items on the same board and may require a separate board for organizations with dedicated risk registers.
Antura
Issue
monday Work Management
Board Item with Custom Columns
1:1Antura Issues share a similar structure to Risks with severity, owner, and status fields. We map Issues to monday.com Board Items identically to Risks, using status columns for issue state and priority, person columns for the assigned owner, and text columns for the issue description and resolution notes.
Antura
Milestone
monday Work Management
Date Column with Status Column
1:1Antura Milestones are date-driven markers within Projects with optional description fields. We map milestone dates to monday.com Date columns and milestone names to a text column. Multiple milestones per project may require a dedicated sub-board or a milestone-tracking column set because monday.com treats milestones as date markers rather than discrete objects.
Antura
Portfolio
monday Work Management
Workspace + Board
1:manyAntura Portfolios group Projects for strategic oversight with priority, status, and strategic alignment fields. Monday.com has no native portfolio hierarchy; we flatten the structure by creating a Workspace per Antura Portfolio and placing project boards within that workspace. Portfolio-level priority and strategic alignment fields migrate to a metadata board or text columns on individual project boards.
Antura
Cost Record
monday Work Management
Numeric Columns
lossyAntura Cost records include estimates, budgets, actuals, and forecasts per Project. We map these to monday.com numeric columns for budget, actual, and variance tracking. Multi-currency handling requires exchange rate configuration at migration time and we note that monday.com does not support native multi-currency; the customer configures currency display at the account level before migration begins.
Antura
Time Entry
monday Work Management
Board Item with Date and Person Columns
1:1Antura Time Entries record hours spent by Resources on Tasks or Projects with date and description. We map these to monday.com items using the date column for the entry date, a number column for hours, and the person column for the resource. Note that monday.com's native time tracking (available on Pro and above) is item-level rather than cross-project; organizations with complex time tracking needs may require a separate time-tracking board as a workaround.
Antura
Custom Field
monday Work Management
Board Column
lossyAntura supports organization-specific custom fields across Projects, Tasks, and Resources. We discover the active custom field schema during scoping by exporting field lists from Antura's admin interface, then map each to monday.com column types: text fields to Text columns, numeric fields to Number columns, date fields to Date columns, and dropdown fields to monday.com Status or Dropdown columns. The mapping is board-specific because monday.com columns are defined per board rather than organization-wide.
| Antura | monday Work Management | Compatibility | |
|---|---|---|---|
| Project | Board1:1 | Fully supported | |
| Sub-project | Board Group1:1 | Fully supported | |
| Task | Board Item1:1 | Fully supported | |
| Resource | Person Column1:1 | Fully supported | |
| Resource Allocation | Person Column + Numeric Column1:1 | Fully supported | |
| Risk | Board Item with Custom Columns1:1 | Fully supported | |
| Issue | Board Item with Custom Columns1:1 | Fully supported | |
| Milestone | Date Column with Status Column1:1 | Fully supported | |
| Portfolio | Workspace + Board1:many | Fully supported | |
| Cost Record | Numeric Columnslossy | Fully supported | |
| Time Entry | Board Item with Date and Person Columns1:1 | Fully supported | |
| Custom Field | Board Columnlossy | 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.
Antura gotchas
Custom field schema discovery requires manual scoping
No public API documentation for bulk export
Document attachments require separate file transfer
Swedish-language interface affects default field names
monday Work Management gotchas
Subitems have no bulk export endpoint
API complexity budget constrains query depth
Daily call limits vary sharply across plan tiers
Automation and integration rules do not export via API
Saved views are not exposed via API
Pair-specific challenges
Migration approach
Discovery and scoping
We audit the customer's Antura instance across projects, sub-projects, tasks, resources, risks, milestones, custom fields, and document attachment inventory. We review the active custom field schema by exporting field lists from Antura's admin interface and confirm the interface language setting. We design the monday.com workspace structure including boards, groups, and column types to match the discovered Antura schema. The discovery output is a written migration scope document with a board structure diagram and field mapping table.
Monday.com workspace design
We configure the monday.com destination workspace before any data arrives. This includes creating boards with the correct structure (one board per Antura project with groups per sub-project), defining column types to match Antura fields, setting up person columns with the team's monday.com accounts, and configuring status columns that reflect Antura's project and task status workflows. For organizations with resource management needs, we implement the custom column workaround during this phase.
CSV export guidance and data transformation
We guide the customer through Antura's CSV export process, which may require multiple export passes for different object types. We handle Swedish-language field name translation during transformation, multi-value field parsing (such as comma-separated values in Antura fields that map to monday.com multi-select columns), and date format normalization to match monday.com's expected ISO format. Large datasets are chunked for processing to avoid memory overflow during transformation.
Test migration and reconciliation
We run a full migration into a monday.com test workspace using production-like data volume. The customer's project manager or operations lead reconciles record counts (projects in, tasks in, resources in), spot-checks twenty to thirty random items against the Antura source, and validates that custom field data appears correctly in monday.com column format. Any mapping corrections happen in this test phase before production migration begins.
Production migration in dependency order
We run production migration in record-dependency order: boards first (Antura Projects), then groups and items (Antura Sub-projects and Tasks), then resource assignments, then custom field data, then risk and milestone records, then time entries. Each phase emits a row-count reconciliation report before the next phase begins. Document metadata migrates as a separate inventory file; actual file binaries require a parallel file-transfer process using Antura's document export feature.
Cutover, validation, and automation rebuild handoff
We freeze Antura writes during cutover and run a final delta migration of any records modified during the migration window. We deliver a written automation and workflow inventory document listing every Antura workflow, rule, or automated action that requires rebuilding in monday.com's Automation Center. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Antura workflows as monday.com automations inside the migration scope; that work is documented for the customer's admin team.
Platform deep dives
Antura
Source
Strengths
Weaknesses
monday Work Management
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 Antura and monday Work Management.
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
Antura: Not publicly documented.
Data volume sensitivity
Antura 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
Answers to the questions buyers ask most during Antura to monday Work Management migration scoping. Not seeing yours? Book a call.
Walk through your Antura to monday Work Management migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Antura
Other ways to arrive at monday Work Management
Same-Project Management migrations
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.