CRM migration

Migrate from Floww.ai to Twenty CRM

Field-level mapping, validation, and rollback between Floww.ai and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.

Floww.ai logo

Floww.ai

Source

Twenty CRM

Destination

Twenty CRM logo

Compatibility

70%

7 of 10

objects map 1:1 between Floww.ai and Twenty CRM.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Floww.ai to Twenty CRM is a migration from a proprietary no-code AI CRM to an open-source self-hosted CRM with a modern React interface and GraphQL API. Floww.ai does not publish a public REST API or bulk export endpoint, so we coordinate manual CSV exports with the customer, chunk large datasets, and validate record counts before writing to Twenty. The primary structural challenge is Floww.ai's non-standard Custom Object relationships (one-to-many and many-to-many) that must be mapped to Twenty's data model before migration. We preserve Custom Object records and their cross-object links, flag attachments and call recordings for separate handling, and document every active pipeline and stage filter for the customer's admin to rebuild in Twenty. Workflows, Flows, Dashboards, and Reports do not migrate; we deliver a written inventory of these for reconstruction in Twenty's configuration layer.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Floww.ai logo

Floww.ai

What's pushing teams away

  • Manual filter reconfiguration is required at every pipeline stage, making pipeline restructuring a repetitive ops burden that erodes productivity over time.
  • The platform has no public REST API or documented export endpoints, forcing teams to use CSV manual exports for any data portability needs.
  • Recording features lack adequate delete and storage-management controls, leading to data hygiene issues and confusion about what constitutes a complete export.
  • Steep learning curve combined with insufficient in-platform tutorials means onboarding relies heavily on the vendor's own customer-success team.

Choosing

Twenty CRM logo

Twenty CRM

What's pulling them in

  • Top open-source CRM on GitHub with 40.6K stars, giving teams full source code access and infrastructure ownership without per-feature licensing surprises.
  • Free self-hosting under AGPL-3.0 means unlimited users and custom objects for the cost of cloud infrastructure alone, typically $20–100/month.
  • Pricing page explicitly mocks competitors for charging add-on fees for API access, webhooks, and workflows — transparency that resonates with RevOps teams burned by Salesforce.
  • Unlimited custom objects and fields with no price impact, letting teams shape the data model to their business rather than forcing business into rigid schemas.
  • Modern TypeScript/React/PostgreSQL stack means developer-led teams can extend, self-host, or integrate without fighting legacy architecture.

Object mapping

How Floww.ai objects map to Twenty CRM

Each row shows how a Floww.ai 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.

Floww.ai

Contact

maps to

Twenty CRM

Person

1:1
Fully supported

Floww.ai Contact records map directly to Twenty CRM Person objects. Standard fields (name, email, phone, company association) migrate 1:1. Custom Contact properties require field-by-field mapping to Twenty's custom field types during schema design. The Contact's linked Pipeline and Stage assignments migrate as a custom field on the Person record since Twenty does not attach Persons directly to Pipelines at the Contact level.

Floww.ai

Lead

maps to

Twenty CRM

Person or Opportunity

1:1
Fully supported

Floww.ai Lead records are distinct from Contacts in Floww.ai's data model. We assess each Lead's status and stage to determine whether it migrates as a Twenty Person record or as an Opportunity with the Person pre-linked. Leads with no deal value and no pipeline assignment migrate as Person records; Leads with active pipeline stages and deal values migrate as Opportunities with the linked Person pre-created.

Floww.ai

Deal

maps to

Twenty CRM

Opportunity

1:1
Fully supported

Floww.ai Deals map to Twenty CRM Opportunity records. The Deal value, owner assignment, expected close date, and stage history timeline transfer. The Deal's linked Pipeline and Stage are mapped to Twenty's Opportunity pipeline and stage. We preserve the stage history as a custom field log or note on the Opportunity since Twenty's standard stage history is platform-generated.

Floww.ai

Pipeline

maps to

Twenty CRM

Pipeline

1:1
Fully supported

Floww.ai Pipelines map to Twenty CRM Pipelines. Each Floww.ai pipeline definition (name, stage count, stage names, stage order) is extracted and mapped to a corresponding Twenty Pipeline. Pipeline-level configuration (filter logic per stage) is documented separately for admin rebuild in Twenty because the filter logic cannot be exported directly from Floww.ai.

Floww.ai

Pipeline Stage

maps to

Twenty CRM

Pipeline Stage

lossy
Fully supported

Floww.ai stage names and counts vary per pipeline. We extract the live stage definitions and map them to Twenty's stage schema. Any stages in Floww.ai that have no direct equivalent in Twenty are flagged for reconciliation during scoping. Stage probability and stage type (open, won, lost) migrate as stage metadata where supported.

Floww.ai

Activity (Call, Email, Meeting, Task)

maps to

Twenty CRM

Task, Event

1:1
Fully supported

Floww.ai Activities (calls, emails, meetings, tasks) linked to Contacts and Deals migrate to Twenty Task and Event records. We preserve activity type, timestamp, owner assignment, and the linked record reference. Bulk activity exports from Floww.ai require coordinated manual runs; we batch activity records and write to Twenty in chronological order to preserve timeline fidelity.

Floww.ai

Custom Object

maps to

Twenty CRM

Custom Object

1:1
Fully supported

Floww.ai Custom Objects with custom properties and cross-object relationships migrate to Twenty CRM Custom Objects. We require a schema map from the customer covering all Custom Object definitions before migration. One-to-many relationships migrate as standard lookup fields on the child object; many-to-many relationships migrate as junction objects in Twenty or as custom link fields depending on Twenty's current schema support for the relationship cardinality.

Floww.ai

Custom Object Relationship

maps to

Twenty CRM

Custom Field (link) or Junction Object

lossy
Fully supported

Floww.ai's non-standard one-to-many and many-to-many relationship cardinalities require pre-migration schema design in Twenty. We request a full schema map from the customer, then pre-create junction objects or custom link fields in Twenty before any Custom Object data is written. Relationship tables are migrated as junction objects where Twenty supports them, or flattened into a custom field on the primary object in simpler destination configurations.

Floww.ai

Tag

maps to

Twenty CRM

Tag or Custom Field

lossy
Fully supported

Floww.ai tags used for segmentation migrate as Tag records in Twenty or as a multi-select custom field on the Person or Opportunity depending on the customer's preference and Twenty's current tagging support. We discuss the tagging strategy during scoping and apply the chosen approach across all tagged records.

Floww.ai

Owner/User

maps to

Twenty CRM

WorkspaceMember

1:1
Fully supported

Floww.ai User accounts map to Twenty CRM WorkspaceMember records. We resolve Floww.ai user email addresses to destination WorkspaceMember records. Any unmapped users are flagged for admin review before the final write pass. Owner assignments on Deals and Activities are updated to reference the resolved WorkspaceMember.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Floww.ai logo

Floww.ai gotchas

High

No public API forces reliance on manual CSV exports

Medium

Pipeline stage filters do not persist across stage changes

Medium

Pro-rated account billing requires careful license reconciliation

Medium

Custom Objects use non-standard relationship cardinalities

Low

Recording and attachment storage not accessible via bulk export

Twenty CRM logo

Twenty CRM gotchas

High

Import order is enforced and critical

High

Export limited to 20,000 records and visible columns only

Medium

Soft-deleted records count toward uniqueness and trigger restores

Medium

API rate limits cap at 200 req/min on Organization tier

Low

No native email sequences — follow-up cadences require external tools

Pair-specific challenges

  • Floww.ai has no API; migration requires coordinated manual CSV exports

    Floww.ai does not publish a REST API or bulk export endpoint for programmatic data retrieval. All data extraction relies on manual in-platform CSV exports, which may be subject to pagination limits. We coordinate with the customer to run exports in sequence, validate record counts against in-platform totals, and chunk large datasets into manageable migration batches. Where Floww.ai imposes row limits on exports, we request multiple filtered exports and merge them before writing to Twenty. This dependency adds coordination overhead and extends discovery timelines compared to API-based migrations.

  • Floww.ai pipeline stage filters do not persist and cannot be exported

    Floww.ai's pipeline stage filters are lost when navigating between stages and cannot be retrieved via export. During migration scoping, we capture each pipeline's stage-level filter state as part of the configuration inventory by interviewing the customer's admin and reviewing screen recordings or documentation where available. We deliver a written inventory of all active filters per stage with the recommended rebuild approach in Twenty's pipeline configuration layer. This inventory is not an automated migration of filter logic.

  • Custom Object non-standard relationships require pre-migration schema design

    Floww.ai's Custom Objects support one-to-many and many-to-many relationships that may not map directly to Twenty CRM's standard relational model. We request a complete schema map from the customer before migration, including all Custom Object definitions, field types, and relationship cardinalities. Twenty CRM's current custom field and object support determines whether relationships migrate as lookup fields, junction objects, or flattened custom fields. Schema must be deployed in Twenty before any Custom Object data is written.

  • Attachment and recording storage not accessible via bulk export

    Call recordings and file attachments stored within Floww.ai require separate retrieval steps that fall outside the standard bulk export utility. We schedule a separate file migration pass for attachments, pulling them from the platform's storage layer where the customer grants access credentials. Recordings are optional migration targets and are flagged for explicit customer confirmation before inclusion in scope. File migration passes are scoped and priced separately from the core record migration.

  • Twenty CRM self-hosted deployments require environment provisioning

    If the customer chooses Twenty CRM's self-hosted deployment, the migration environment must be provisioned before data writes begin. We coordinate with the customer's infrastructure team to confirm database credentials, API endpoint availability, and storage allocation for the migration workspace. Self-hosted deployments may require additional time for environment setup, SSL configuration, and initial data seeding that cloud-hosted Twenty migrations do not incur.

Migration approach

Six steps for a successful Floww.ai to Twenty CRM data migration

  1. Discovery and export coordination planning

    We audit Floww.ai across all active pipelines, stage definitions, Custom Object schemas, activity types, and record volumes. Because Floww.ai has no API, we design the export coordination plan: which exports to run in sequence, how to handle pagination limits, how to merge split exports, and how to validate record counts against in-platform totals. We also confirm the Twenty CRM deployment model (cloud-hosted or self-hosted) and begin environment provisioning for self-hosted destinations.

  2. Schema design and relationship mapping

    We design the destination schema in Twenty CRM. This includes creating custom fields and objects to match Floww.ai's Custom Object definitions, mapping relationship cardinalities to Twenty's available field types or junction objects, and configuring Pipelines and Stages to match Floww.ai's pipeline definitions. We deliver a schema map document for customer sign-off before any records are written. Pipeline stage filter logic is documented separately for admin rebuild.

  3. Manual CSV export and validation

    The customer runs the coordinated CSV exports from Floww.ai per our export plan. We validate each export file against the in-platform record counts, flag any discrepancies (missing records, truncated fields, date format issues), and request corrected exports where needed. Large datasets split across multiple export files are merged and deduplicated before transformation begins.

  4. Transformation and relationship resolution

    We transform Floww.ai records into Twenty CRM schema format. This includes field-type mapping (text, number, date, picklist, etc.), custom field creation in Twenty where needed, and relationship resolution for Custom Object lookups. Owner email addresses are resolved to Twenty WorkspaceMember records. Any unmapped owners go to a reconciliation queue for admin provisioning before record import.

  5. Migration in dependency order

    We run production migration in record-dependency order: WorkspaceMembers (validated), Persons (from Floww.ai Contacts and Leads), Opportunities (with Person resolved and Pipeline/Stage assigned), Activities (Tasks and Events in chronological order), Custom Objects (with relationship links resolved), then Tags. Each phase emits a row-count reconciliation report before the next phase begins. Attachments and recordings run as a separate post-phase file migration pass.

  6. Cutover, validation, and workflow handoff

    We freeze Floww.ai writes during cutover, run a final delta migration of any records modified during the migration window, then enable Twenty CRM as the system of record. We deliver the Pipeline and Stage filter inventory document for admin rebuild in Twenty, the Custom Object relationship map, and the Workflow and Flow inventory (if applicable). We support a one-week hypercare window for reconciliation issues. We do not rebuild Floww.ai Flows as Twenty workflows inside the migration scope; that is a separate engagement or internal admin task.

Platform deep dives

Context on both ends of the pair

Floww.ai logo

Floww.ai

Source

Strengths

  • Per-account subscription with pro-rated billing accommodates mid-growth headcount additions without billing surprises.
  • Ranked #1 Enterprise Usability Index on G2 Winter 2024 reflects genuine ease of onboarding for non-technical sales teams.
  • Hyper-flexible pipelines support non-linear B2C sales processes that standard CRM stage models cannot represent cleanly.
  • Native AI Copilots for sales and analytics are embedded at the workflow level rather than bolted on as third-party integrations.
  • 14-day free trial with guided onboarding lets teams validate pipeline configuration before committing to a paid plan.

Weaknesses

  • No public REST API or documented bulk export endpoints means all data extraction relies on manual in-platform exports.
  • Recording feature lacks adequate delete and storage management controls, complicating data hygiene during migration scoping.
  • Filters do not carry across stages automatically, making large-scale pipeline restructuring a manual, error-prone process.
  • Slow loading times when handling large data volumes suggest the platform's query performance degrades at enterprise scale.
  • Steep learning curve combined with insufficient in-platform tutorials makes independent onboarding difficult without vendor support.
Twenty CRM logo

Twenty CRM

Destination

Strengths

  • AGPL-3.0 open-source license with full source code on GitHub — no vendor lock-in, no sunset risk.
  • Unlimited users and unlimited custom objects on self-hosted, with no feature gating based on headcount.
  • REST and GraphQL APIs available on all paid tiers, not locked behind an enterprise add-on fee.
  • MCP server and webhooks shipped as standard features, not premium upgrades.
  • Modern PostgreSQL-backed data model that developer teams can query, extend, and self-host.

Weaknesses

  • Recent v1.0 release means limited production hardening compared to CRMs with multi-year operational track records.
  • No native email sequencing or sales engagement tools — follow-up cadences require a separate platform.
  • No native two-way email sync or inbox integration, requiring third-party connectors for full activity logging.
  • Self-hosting 'free' pricing hides real infrastructure and DevOps costs that stack up over time.
  • Workflow automation is functional but lacks the complexity needed for sophisticated multi-step sales motions.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Floww.ai and Twenty CRM.

  • Object compatibility

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Floww.ai: Not publicly documented.

  • Data volume sensitivity

    B

    Floww.ai doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Floww.ai to Twenty CRM migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Floww.ai to Twenty CRM data migrations

Answers to the questions buyers ask most during Floww.ai to Twenty CRM migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your Floww.ai to Twenty CRM migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between four and six weeks for accounts under 15,000 Contacts and 3,000 Deals with no Custom Objects. Migrations with Custom Objects, multiple pipelines, complex relationship schemas, or self-hosted Twenty deployments requiring environment provisioning move to ten to fourteen weeks. The lack of a Floww.ai API extends discovery and export coordination timelines compared to API-based migrations, which affects scoping for large datasets.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Floww.ai.
Land in Twenty CRM, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day