CRM migration
Field-level mapping, validation, and rollback between VAIL-CRM and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.
VAIL-CRM
Source
Twenty CRM
Destination
Compatibility
6 of 10
objects map 1:1 between VAIL-CRM and Twenty CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from VAIL-CRM to Twenty CRM is a structural migration that addresses two specific platform gaps: VAIL-CRM's multi-module data isolation (sales force, marketing, and service automation components that may not all be active in every instance) and Twenty's deliberately minimal standard field set on People and Companies objects that requires pre-import field creation. We extract data from VAIL-CRM via CSV export where API access requires direct inquiry with Velosi, audit active modules during discovery, and sequence the export to match Twenty's import order (People first, then Companies, then Opportunities). Pipeline stage names and probability weights migrate as configuration rather than records. Activity history (calls, emails, meetings, tasks, notes) migrates to Twenty's Task and Note objects with preserved timestamps. Workflows, marketing automation campaigns, and service automation tickets do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Twenty's workflow framework. Custom objects migrate 1:1 with a pre-import schema deployment step that Twenty's documentation requires before any CSV import runs.
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 VAIL-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.
VAIL-CRM
Contact
Twenty CRM
People
1:1VAIL-CRM Contacts compile customer data from website interactions, telephone, email, live chat, and social media channels. We map standard fields (name, email, phone) directly to Twenty's People object. Due to Twenty's minimal standard field set, we pre-create industry-standard fields (jobTitle, department, website, source, contactType) in Twenty Settings before CSV import, per Twenty's documentation requirement that fields must exist before import. Multi-channel source identifiers (social media handles, chat IDs) map to custom fields on People.
VAIL-CRM
Company
Twenty CRM
Company
1:1VAIL-CRM Company records store organizational data linked to multiple contacts. We preserve the contact-company relationship by matching on company name or external ID where available. Twenty's Company object requires pre-creation of standard fields like industry, employeeCount, annualRevenue, and website before import, per the known field-gap gotcha documented in Twenty's GitHub issue #13953. We create these fields during the schema preparation phase.
VAIL-CRM
Deal
Twenty CRM
Opportunity
1:1VAIL-CRM Deals track sales opportunities with associated monetary values, stage assignments, and close dates. Pipeline stage names vary by VAIL-CRM instance and require mapping to Twenty's Opportunity pipeline stages. Stage probability weights migrate as configuration on the pipeline. Closed-Won and Closed-Lost reasons from VAIL-CRM custom properties map to Twenty Opportunity custom fields.
VAIL-CRM
Pipeline
Twenty CRM
Opportunity Pipeline
lossyVAIL-CRM custom pipeline configurations and stage sequences differ between instances. We extract the full pipeline definition including stage order, names, and probability weights from the source instance during discovery. Twenty requires pipeline configuration before Opportunity import. We create the pipeline and stages in Twenty's Settings Data Model section before migrating Opportunity records.
VAIL-CRM
Activity (calls, emails, meetings, tasks, notes)
Twenty CRM
Task or Note
1:manyVAIL-CRM activity history across communication channels (web, phone, email, live chat, social) may be stored across multiple object types depending on which channels are integrated. We map call engagements to Twenty Task with TaskSubtype=Call, email to Task with email-related fields, meetings to Event, and standalone notes to Note. Activity timestamps are preserved as ActivityDate for timeline ordering. The multi-channel compilation in VAIL-CRM requires deduplication during export to avoid duplicate activity records in Twenty.
VAIL-CRM
Marketing Automation
Twenty CRM
Custom Object (Campaigns)
lossyVAIL-CRM's marketing automation component stores campaign records and workflow logic. Marketing workflows do not migrate as code. We export campaign metadata (name, status, start/end dates, target audience criteria) as a written inventory. Campaign target audience criteria require manual rebuild in Twenty or a separate marketing automation tool. If the customer uses Twenty for campaign tracking only, we migrate campaign records as a custom object with linked Opportunities.
VAIL-CRM
Service Automation
Twenty CRM
Custom Object (Tickets)
1:1VAIL-CRM's service automation component stores support tickets and customer service interactions with status and assignment data. Ticket records migrate to a Twenty custom object (Ticket or Case) if the customer requires support case management. Custom ticket field configurations must be mapped individually during discovery. Service automation workflows do not migrate; we deliver a written inventory for manual rebuild in Twenty's workflow framework.
VAIL-CRM
Custom Fields
Twenty CRM
Custom Fields
lossyVAIL-CRM custom fields added to standard objects vary by implementation. We capture the full custom field schema including field type, required status, and picklist values during discovery. Custom fields must be pre-created in Twenty's Settings Data Model before any CSV import runs, per Twenty's import documentation. Field types map from VAIL-CRM to Twenty equivalents (text to string, number to number, date to date, picklist to select).
VAIL-CRM
Owner
Twenty CRM
Workspace Member
1:1VAIL-CRM owner relationships (Contact owner, Deal owner) map to Twenty Workspace Members. Twenty's migration documentation explicitly requires inviting all team members before importing data that includes user references. We extract distinct owner email addresses from VAIL-CRM records, verify corresponding Twenty workspace members exist, and provision any missing members before migration resumes.
VAIL-CRM
Custom Objects
Twenty CRM
Custom Objects
1:1VAIL-CRM custom objects migrate to Twenty custom objects of equivalent name. We pre-create the destination schema in Twenty's Settings Data Model, including all custom fields, field types, and any lookup relationships to standard objects (People, Company, Opportunity). Twenty's v2.0 framework allows building apps on top of custom objects without forking the codebase, giving teams extension flexibility post-migration.
| VAIL-CRM | Twenty CRM | Compatibility | |
|---|---|---|---|
| Contact | People1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Opportunity Pipelinelossy | Fully supported | |
| Activity (calls, emails, meetings, tasks, notes) | Task or Note1:many | Fully supported | |
| Marketing Automation | Custom Object (Campaigns)lossy | Mapping required | |
| Service Automation | Custom Object (Tickets)1:1 | Mapping required | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| Owner | Workspace Member1:1 | Fully supported | |
| Custom Objects | Custom Objects1:1 | Mapping required |
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.
VAIL-CRM gotchas
Limited public API documentation requires direct inquiry with Velosi for export capabilities
Multi-module data isolation requires identifying which components are active
CRM migration complexity underestimated without discovery phase
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 active-module identification
We audit the source VAIL-CRM instance to identify which modules are active (sales force, marketing, service automation), estimate record counts per object type, and document the custom field schema. We contact Velosi directly to confirm API availability and bulk export endpoints. We extract a representative sample (50-100 records) to validate export format and identify data quality issues (duplicate contacts, missing required fields, inconsistent date formats). The discovery output is a written migration scope and a Twenty field-gap remediation plan.
Schema preparation and field-gap remediation
We create the destination schema in Twenty's Settings Data Model. This includes adding industry-standard fields to People (jobTitle, department, website, source, contactType) and Company (industry, employeeCount, annualRevenue, website) to address the known field-gap documented in Twenty's GitHub. We create any custom objects required for marketing campaigns or service tickets, add custom fields with correct types and picklist values, and configure lookup relationships to standard objects. This step runs before any CSV import because Twenty requires fields to exist before data loads.
Workspace member provisioning
Twenty's migration documentation explicitly requires inviting all team members before importing data that includes owner references. We extract every distinct owner email address from VAIL-CRM records (Contacts, Companies, Deals, Activities) and verify that corresponding Twenty workspace members exist. Any missing members go to a reconciliation queue for the customer to provision before record import resumes. Migration cannot proceed past this step if owner lookups are unresolved.
Data extraction and transformation
We extract data from VAIL-CRM in dependency order: Contacts first, then Companies (with contact-company relationship preserved), then Deals (with owner and company references resolved), then Activity history (calls, emails, meetings, tasks, notes). Marketing campaign metadata and service ticket records export as separate inventories. We transform dates to ISO 8601 format, normalize phone number formats, split multi-select fields to Twenty's select format, and apply any field type conversions identified during discovery. Duplicate records are flagged for customer review before import.
Staging import and reconciliation
We run a full import into a staging Twenty instance (or a copy of the production instance) with production-like data volume. The customer's admin reconciles record counts against the source VAIL-CRM extraction, spot-checks 25-50 records for field-level accuracy, and validates pipeline stage assignments and owner lookups. Any mapping corrections happen in the transformation layer before the staging import is signed off. Pipeline stage names and probability weights are validated against the source VAIL-CRM configuration.
Production migration and cutover
We freeze VAIL-CRM writes during cutover, run a final delta migration of any records modified during the migration window, then switch the system of record to Twenty. Activity timestamps are preserved during import to maintain the historical timeline. We deliver the automation inventory document (workflows, campaigns, sequences requiring rebuild) to the customer's admin. We support a one-week hypercare window for reconciliation issues. Infrastructure readiness for self-hosting (Docker container monitoring, backup configuration) is validated before cutover sign-off.
Platform deep dives
VAIL-CRM
Source
Strengths
Weaknesses
Twenty CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM 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 VAIL-CRM and Twenty CRM.
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
VAIL-CRM: Not publicly documented.
Data volume sensitivity
VAIL-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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