CRM migration
Field-level mapping, validation, and rollback between Devi and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.
Devi
Source
Twenty CRM
Destination
Compatibility
7 of 10
objects map 1:1 between Devi and Twenty CRM.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Devi to Twenty CRM is a migration with a significant information gap on the source side. The research corpus contains no documented API, no confirmed data export feature, and no verifiable schema for devi-official.com, making this one of the least understood source platforms in the FlitStack AI catalog. Twenty CRM is a self-hosted or cloud-hosted open-source CRM with a documented PostgreSQL data model, a REST API for custom objects, and CSV-based import tooling. We approach this migration in three phases: first, manual discovery and schema confirmation with the customer's help; second, extraction path design (direct database access, CSV export, or API-based pull depending on what Devi actually exposes); third, transformation and load into Twenty using its documented import order (Companies before People, Custom objects last). We do not migrate automations, sequences, or reports from Devi because no automation model is documented. We deliver a written automation inventory if the customer can confirm any behavioral rules exist in the source.
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 Devi 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.
Devi
Person / Contact
Twenty CRM
Person
1:1Devi's data model is unconfirmed. If Devi stores individual contact records (name, email, phone, social handle), they map to Twenty's Person object. We require the customer to provide a sample export or schema document before we finalize the Person field mapping. The mapping type is 'mapping' rather than '1:1' because we cannot confirm whether Devi uses a flat contact record or a different structure until discovery completes.
Devi
Lead / High-Intent Contact
Twenty CRM
Person or Opportunity (stage-dependent)
1:1Devi's core value proposition is 'high-intent lead detection' on social media. If Devi stores flagged leads as a separate record type, we map them to Twenty Person records if they represent individual contacts, or to Opportunity records if they represent pipeline entries with deal value. The mapping depends on whether Devi tracks a separate lead concept or attaches lead scores to contact records. Discovery must confirm this before migration begins.
Devi
Company / Account
Twenty CRM
Company
1:1If Devi stores company or organization data (which is unconfirmed given its narrow social-selling focus), those records map to Twenty's Company object. Twenty's Company object supports industry, domain, employees, and revenue fields. We infer that Devi's company data is likely minimal or absent, but we plan for it based on what the customer confirms during discovery.
Devi
Social Media Interaction / Trigger Event
Twenty CRM
Activity (Task or Event)
1:1Devi triggers on social media interactions (comments, posts, DMs) to flag high-intent leads. If Devi stores a history of these trigger events, they map to Twenty Activity records as either Task or custom Event objects. The mapping requires confirmation of how Devi stores interaction history—whether as timestamps, event logs, or linked records. Without documented evidence, we treat this as a custom activity migration requiring schema reconstruction during discovery.
Devi
AI-Generated Content Asset
Twenty CRM
Attachment or Custom Object
lossyG2 reviewers cite AI-generated visual content as a Dev feature. If Devi stores generated images or media assets, they map to Twenty as Attachment records linked to the parent Person or Company record, or as a custom media asset object if the customer requires content metadata preservation. File type support, storage limits, and metadata fields require customer confirmation during discovery.
Devi
User / Team Member
Twenty CRM
WorkspaceMember
1:1Devi's user and seat management is unconfirmed. Twenty's WorkspaceMember object represents platform users. If Devi stores team member records (name, email, role), we map them to Twenty WorkspaceMember during migration. Owner assignment on records (Contacts, Companies, Deals) maps to WorkspaceMember as the assigned Twenty user. We require the customer to confirm how many active users exist in Devi before migration scoping.
Devi
Pipeline / Deal Stage
Twenty CRM
Pipeline + Stage
lossyIf Devi tracks deal stages or pipeline status on any record type, we map them to Twenty's Pipeline and Stage configuration. Twenty supports multiple pipelines via workspace configuration. Stage values are created as Stage records within each Pipeline before any Opportunity import. We set stage probabilities and labels per the customer's reported Dev pipeline structure.
Devi
Custom Field (if supported)
Twenty CRM
Custom Field
lossyDevi's custom field support is unconfirmed. If the customer reports custom fields on any Devi object, we create matching custom fields in Twenty using the /metadata API before migration. Custom field types map from Devi's types to Twenty's supported field types (text, number, date, select, multi-select, relation). The mapping_type is 'configuration' because custom fields require schema creation before any data is loaded.
Devi
Opportunity / Deal (if tracked)
Twenty CRM
Opportunity
1:1If Devi tracks deal value, deal stage, or closing probability on its lead records, those map to Twenty Opportunity. Opportunity requires a Company as the primary parent in Twenty's data model, so Company records must be created first. Close date, amount, and stage map to Opportunity fields. This mapping is conditional on what Devi's data model actually contains.
Devi
Integration / Connected Account
Twenty CRM
Not migrated
1:1Devi's integration ecosystem is unconfirmed. We do not migrate integration configurations (connected social accounts, Zapier setups, webhook endpoints) from Devi because these are platform-specific and do not transfer between systems. We flag connected accounts during discovery so the customer can re-establish integrations in Twenty after migration. Twenty supports webhook and API integrations documented at docs.twenty.com.
| Devi | Twenty CRM | Compatibility | |
|---|---|---|---|
| Person / Contact | Person1:1 | Fully supported | |
| Lead / High-Intent Contact | Person or Opportunity (stage-dependent)1:1 | Fully supported | |
| Company / Account | Company1:1 | Fully supported | |
| Social Media Interaction / Trigger Event | Activity (Task or Event)1:1 | Fully supported | |
| AI-Generated Content Asset | Attachment or Custom Objectlossy | Fully supported | |
| User / Team Member | WorkspaceMember1:1 | Fully supported | |
| Pipeline / Deal Stage | Pipeline + Stagelossy | Fully supported | |
| Custom Field (if supported) | Custom Fieldlossy | Fully supported | |
| Opportunity / Deal (if tracked) | Opportunity1:1 | Fully supported | |
| Integration / Connected Account | Not migrated1:1 | 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.
Devi gotchas
Platform identity is ambiguous in search results
No documented export or API access
Thin review corpus makes due diligence difficult
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 data model confirmation
We run an extended discovery phase because Devi's data model is unconfirmed. The customer provides a sample export from Devi (CSV if available, screenshot or data dump if not), a record count by object type, and confirmation of which features they actively use. We use this to reverse-engineer a source schema document that we share with the customer for validation. We also confirm Devi's export mechanism: manual CSV from the UI, direct database access, API-based pull, or no export capability at all. This step takes one to two weeks and gates all subsequent work.
Source extraction path design
With the confirmed source schema in hand, we design the extraction path. If Devi provides a CSV export, we use that as the source of truth. If Devi has a direct database connection (PostgreSQL or equivalent), we extract via SQL query. If neither exists and the customer must manually export, we provide a structured template for the manual export with field-by-field instructions to minimize data entry errors. We do not build custom scrapers as part of standard scope; if scraping is required, we scope it as a separate engineering task.
Twenty target schema design
We design the Twenty destination schema based on the confirmed source schema. This includes creating custom fields on Person, Company, and Opportunity objects (via Twenty's /metadata API), configuring Pipelines and Stages to match Devi's pipeline structure, and setting up any custom objects the customer requires. We design the record import order: Companies first, then People, then Opportunities, then Activities, then Custom objects. The schema design is validated in Twenty's UI before any data moves.
Sandbox or staging migration
We run a full migration into a staging environment (a second Twenty workspace or a temporary self-hosted instance) using production-like data volume provided by the customer. The customer reconciles record counts, spot-checks field mappings, and verifies that Person records are correctly linked to Company records. Any mapping corrections are documented and applied to the production migration plan. This step confirms that the import order, relationship resolution, and field transforms are working before data touches the production Twenty instance.
Production migration in dependency order
We execute the production migration following the validated sandbox plan and Twenty's documented import order. Companies are inserted first (using the domain or name as a dedupe key). People are inserted second with Company lookups resolved. Opportunities are inserted third with Person and Company lookups resolved. Activities (Tasks, Events) are inserted fourth. Custom objects are inserted last, with foreign keys resolved against all parent objects. Each phase emits a row-count reconciliation report. We use bulk insert operations compatible with Twenty's CSV import format or REST API batch endpoints.
Cutover and post-migration validation
We freeze writes to the source (if any write capability exists in Devi) 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 a migration completion report with record counts per object, a list of any records that could not be migrated with reason codes, and a list of custom fields that were created in Twenty. We do not migrate workflows, automations, or integrations from Devi because no automation model is confirmed to exist. We deliver a blank automation inventory form if the customer believes any behavioral rules exist in Devi.
Integration reconnection
We document all integrations the customer had connected to Devi (social media accounts, Zapier, webhooks, any connected tools) and provide step-by-step reconnection instructions for Twenty. Twenty's webhook and API integrations are documented at docs.twenty.com. We do not build the new integrations as part of standard scope; that work is handled by the customer's admin or a Twenty implementation partner. We offer a separate integration scope if the customer wants FlitStack AI to configure Twenty's webhook endpoints or third-party API connections.
Platform deep dives
Devi
Source
Strengths
Weaknesses
Twenty CRM
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 3 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Devi and Twenty CRM.
Object compatibility
3 of 8 objects need a manual workaround.
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
Devi: Not publicly documented.
Data volume sensitivity
Devi 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.
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FAQ
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