CRM migration
Field-level mapping, validation, and rollback between Anthill CRM and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.
Anthill CRM
Source
Twenty CRM
Destination
Compatibility
5 of 11
objects map 1:1 between Anthill CRM and Twenty CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Anthill CRM and Twenty CRM take fundamentally different approaches to customer record structure. Anthill organises deal progression through Workflow stream states allocated to Sales, Admin, and Support teams; Twenty uses a standard opportunity pipeline with stages tied to a Company and Person data model. Migrating between them requires extracting every workflow's stage definitions and mapping them to Twenty's Opportunity stage field, and identifying the correct Person and Company records to associate with each Opportunity at import time. Anthill's undocumented API schema, absent bulk-export endpoint, and non-exportable dashboard configurations are the three technical constraints that shape this migration more than any other. We handle all three: we introspect the actual field inventory via API discovery, we use CSV export as a parallel read path alongside paginated API pulls, and we document dashboard layouts for manual rebuild in Twenty's query-builder-based reporting environment.
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 Anthill CRM object lands in Twenty CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Anthill CRM
Enquiry
Twenty CRM
Opportunity
1:1Anthill Enquiries are the primary intake object and represent deals at various stages of the workflow stream. Each Enquiry maps to a Twenty Opportunity. We extract the current workflow stream state and map it to a Twenty Opportunity.stage value using a document we generate during scoping that maps each Anthill workflow state to its equivalent Twenty stage. The Enquiry's name becomes Opportunity.name, and we resolve the linked Customer to a Twenty Person and Company at migration time.
Anthill CRM
Customer
Twenty CRM
Person and Company
1:manyAnthill Customer records hold both contact and company data in a flat schema. We split these into Twenty's separate Company (the organisation) and Person (the individual) objects. The customer's business name and address fields map to Company; the contact's name, email, and phone map to Person. We preserve the original Anthill Customer ID in a custom field on both records for reconciliation and audit purposes.
Anthill CRM
Activity
Twenty CRM
Task and Event
1:1Anthill Activities tied to Enquiries and Customers represent touchpoints across the customer journey. We map activity type (call, email, meeting, task) to the equivalent Twenty object: calls become Tasks with the call subtype, meetings become Events, and standalone tasks become Tasks. Activity timestamps and content are preserved. Anthill does not expose a bulk activity-history endpoint, so we paginate through the API and cross-validate against any CSV export available for the object.
Anthill CRM
Workflow
Twenty CRM
Pipeline Stage configuration
lossyAnthill Workflows define the customer interaction process and allocate actions to teams. Because workflows are configuration-heavy and contain Anthill-specific state triggers and team assignments, we do not migrate them as executable objects. Instead we extract the stage definitions from every active workflow and generate a workflow-to-pipeline mapping document. This document maps each Anthill workflow state name to a Twenty Opportunity stage value with a description of the transition logic, which the customer uses to configure their pipeline in Twenty after migration.
Anthill CRM
Pipeline Stage
Twenty CRM
Opportunity Stage
lossyAnthill represents deal progression through workflow stream states rather than column-based pipeline stages. We extract every distinct state name from the active workflow definitions, normalise them into a clean stage sequence, and map them to Twenty Opportunity stage values. The customer defines the stage names and probability percentages in Twenty during setup, informed by our mapping document. Closed-won and closed-lost states from Anthill become the terminal stages in Twenty's pipeline.
Anthill CRM
Custom Property
Twenty CRM
Custom Field
1:1Anthill supports custom fields per object but does not publish a field reference catalogue. We pull the actual field inventory by introspecting the API responses during discovery, noting picklist values, data types, and object associations. Each discovered custom property is mapped to a Twenty custom field. Picklist values are cross-referenced against any matching Twenty field options. Fields with no destination match are flagged for the customer to decide whether to carry them forward as free-text fields or archive them.
Anthill CRM
Dashboard
Twenty CRM
Custom View (query builder)
lossyAnthill dashboards are stored as internal configuration files in the platform's visualisation engine and are not exposed via SOAP or JSON API. We cannot export them automatically. We perform a dashboard audit during discovery: we document each live dashboard's layout, metric definitions, filter set, data source objects, and refresh behaviour from the running system. The customer receives a written specification for each dashboard to rebuild in Twenty using the query builder. Dashboard rebuild is a manual step performed by the customer post-migration and is outside the data-migration scope.
Anthill CRM
Automation
Twenty CRM
Workflow documentation
lossyAnthill Automations trigger personalised notifications and email or SMS sequences based on workflow state transitions. Because automations are workflow-scoped and reference Anthill-specific contact property names, they cannot migrate as executable logic. We extract every active automation and document its trigger conditions, actions, and target audience. The customer receives an automation inventory with a description of each rule's purpose, which their Twenty admin uses to configure equivalent Workflow actions in Twenty post-migration.
Anthill CRM
User
Twenty CRM
User
1:1Anthill Users are organised by team (Sales, Admin, Support) with ownership assigned to records. We map Users and their team associations to Twenty Users. Anthill does not expose a dedicated user-list endpoint, so we derive the user list from the owner fields on Enquiry, Customer, and Activity records. We match by email address. Any Anthill User without a corresponding Twenty User goes to a reconciliation queue for the customer's admin to provision before record import continues.
Anthill CRM
Workflow Team Assignment
Twenty CRM
Workspace and User Role
lossyAnthill allocates workflow actions to Sales, Admin, and Support teams. These team assignments define which team members can act on a record at each workflow state. We extract the team structure from the workflow definitions and map it to Twenty's workspace and role model. The customer defines Twenty User Roles and workspace permissions during their Twenty setup, informed by our team-assignment mapping document. This is a configuration step rather than a data migration step.
Anthill CRM
Enquiry-Workflow association
Twenty CRM
Opportunity Custom Field
1:1Each Anthill Enquiry is created through a workflow stream and carries the workflow identifier and current stream position. We preserve this context by storing the Anthill workflow name and stream state as custom fields on the migrated Twenty Opportunity. This allows the customer to audit the original workflow lineage and reconstruct team accountability in Twenty if needed.
| Anthill CRM | Twenty CRM | Compatibility | |
|---|---|---|---|
| Enquiry | Opportunity1:1 | Fully supported | |
| Customer | Person and Company1:many | Fully supported | |
| Activity | Task and Event1:1 | Fully supported | |
| Workflow | Pipeline Stage configurationlossy | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| Custom Property | Custom Field1:1 | Fully supported | |
| Dashboard | Custom View (query builder)lossy | Fully supported | |
| Automation | Workflow documentationlossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Workflow Team Assignment | Workspace and User Rolelossy | Fully supported | |
| Enquiry-Workflow association | Opportunity Custom Field1:1 | 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.
Anthill CRM gotchas
Dashboard configurations cannot be exported via API
Workflow-as-pipeline model requires structural remapping
No publicly documented API rate limits or bulk-export endpoint
Custom properties schema not publicly documented
Glitches and steep learning curve in advanced customisation areas
Twenty CRM gotchas
Import order is enforced and critical
Export limited to 20,000 records and visible columns only
Soft-deleted records count toward uniqueness and trigger restores
API rate limits cap at 200 req/min on Organization tier
No native email sequences — follow-up cadences require external tools
Pair-specific challenges
Migration approach
Discovery and API introspection
We audit the source Anthill account via API discovery: we enumerate all objects accessible through the JSON API, pull the actual field inventory by inspecting API response schemas for Enquiries, Customers, Activities, Workflows, and any custom objects, and derive the user and team structure from owner fields and workflow assignments. We run a parallel CSV export for each object where Anthill's interface allows it and cross-validate the API inventory against the export to confirm completeness. We perform the manual dashboard audit during this phase, documenting every live dashboard's layout, metrics, and filters. The discovery output is a written migration scope including the object list, field inventory, workflow-to-pipeline mapping draft, dashboard audit log, and a risk register covering the API limitations.
Schema design in Twenty
We design the destination schema in Twenty before any data moves. This includes creating the Opportunity pipeline stages based on the workflow-to-pipeline mapping document, provisioning any custom fields required to receive Anthill custom properties (with data types matched to the Anthill field types discovered during API introspection), and configuring the Company and Person object structure to receive the split Customer records. We document the team and role mapping that the customer will implement in Twenty's workspace and role settings. All schema work is validated in Twenty before the production migration begins.
Pilot migration to staging environment
We run a full migration into a staging environment using production-like data volume. The customer's operations lead reconciles record counts against Anthill (Enquiries in, Opportunities in, Persons in, Companies in, Activities in), spot-checks 25-50 random records against the Anthill source for field-level accuracy, and validates that the workflow-stream to Opportunity stage mapping is producing the expected pipeline distribution. Any mapping corrections, custom field additions, or stage-label adjustments happen here before production migration begins.
Owner and user reconciliation
We extract every distinct user referenced as an owner on Enquiry, Customer, and Activity records from Anthill and match them by email against the Twenty destination's user list. Owners without a matching Twenty User go to a reconciliation queue. The customer's admin provisions any missing Users in Twenty and confirms their workspace and role assignments. Migration cannot proceed past this step because Opportunity and Person records require an OwnerId reference in Twenty.
Production migration in dependency order
We run production migration in record-dependency order: Company records (from Anthill Customer business data), Person records (from Anthill Customer contact data), Users (validated against the reconciliation queue), Opportunities (with stage resolved from the workflow-stream mapping and OwnerId and CompanyId resolved from the preceding phases), Activities (Tasks and Events via paginated API pulls with cross-validation against CSV export), custom field values (written to the custom fields created during schema design), and workflow lineage context (stored as custom Opportunity fields). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, final delta, and dashboard handoff
We freeze writes in Anthill during the cutover window, run a final delta migration of any records modified during the migration window, then enable Twenty as the system of record. We deliver the dashboard audit log, the workflow-to-pipeline mapping document, and the automation inventory to the customer's admin team with guidance on rebuilding each in Twenty. We support a one-week post-cutover window where we resolve any reconciliation issues raised by the customer's team. Dashboard rebuild, workflow rebuild, and automation rebuild in Twenty are manual steps performed by the customer and are outside the data-migration scope.
Platform deep dives
Anthill CRM
Source
Strengths
Weaknesses
Twenty CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Anthill CRM and Twenty CRM.
Object compatibility
2 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
Anthill CRM: Not publicly documented.
Data volume sensitivity
Anthill CRM 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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