CRM migration

Migrate from Floww.ai to monday CRM

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

Floww.ai logo

Floww.ai

Source

monday CRM

Destination

monday CRM logo

Compatibility

75%

9 of 12

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

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Floww.ai to Monday.com CRM is a structural migration that involves flattening a non-standard relational schema into a board-item architecture. Floww.ai stores Contacts, Leads, Deals, and Pipelines in a schema tied to its workflow engine, with Custom Objects supporting one-to-many and many-to-many relationships; Monday.com represents all CRM records as items within boards, with Custom Fields handling record-level attributes and cross-board linking replacing native relationship types. We extract data through Floww.ai's CSV export utility in coordinated batches, design Monday.com boards with groups and status columns that mirror the original pipeline structure, and resolve Floww.ai's cross-object relationships as Monday.com Custom Fields or multiple linked boards. Workflows and Flows from Floww.ai do not migrate as executable objects; we deliver a written inventory of every active automation for your admin to rebuild in Monday.com Automations. Attachments and call recordings fall outside the standard bulk export and are handled in a separate pass with explicit scope confirmation.

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

monday CRM logo

monday CRM

What's pulling them in

  • Users praise the board-based visual interface for making pipeline stages immediately legible to non-technical team members without CRM training.
  • The no-code automation builder lets sales ops teams create lead routing, stage updates, and email triggers without developer involvement.
  • Integration ecosystem connects to Slack, Gmail, Outlook, and Zapier with minimal configuration, reducing friction for teams already using these tools.
  • The flexible column system lets teams build custom CRM views — deal value, close date, lead source — without needing a developer or pre-defined schema.
  • Teams already using monday Work Management can layer CRM features onto existing boards rather than starting from scratch.

Object mapping

How Floww.ai objects map to monday CRM

Each row shows how a Floww.ai object lands in monday 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

monday CRM

Contact Board Item

1:1
Fully supported

Floww.ai Contacts map to items in a dedicated Contacts board in Monday.com CRM. Standard fields (name, email, phone, company association) migrate as typed Custom Fields. The Contact Hit List engagement feature in Floww.ai is documented separately for the customer's admin to recreate as a filtered board view in Monday.com. We preserve any tag or segment labels as Monday.com Tags applied to the item.

Floww.ai

Lead

maps to

monday CRM

Lead Board Item

1:1
Fully supported

Floww.ai Leads map to items in a dedicated Leads board in Monday.com CRM. Lead categorization features and stage assignments migrate as Custom Fields. If the customer uses Floww.ai's pin feature for lead tracking, we map the pin status to a Custom Field (pinned_lead boolean) in Monday.com. The Lead record's activity history migrates as linked items in the Activity board.

Floww.ai

Deal

maps to

monday CRM

Deal Board Item

1:1
Fully supported

Floww.ai Deals tied to specific Pipelines and Stages map to items in a Deals board in Monday.com CRM. Deal value, owner assignment, expected close date, and stage history migrate as typed Custom Fields. Deal stage maps to a Monday.com Status column with values matching the Floww.ai pipeline stage names. We flag any Deals with a deal_value of zero or null for the customer to review before migration.

Floww.ai

Pipeline and Stage

maps to

monday CRM

Board with Groups and Status Column

lossy
Fully supported

Floww.ai Pipelines and Stages map to Monday.com Boards with Groups representing high-level groupings and Status columns representing stage progression. We extract the live stage definitions from Floww.ai (stage names, counts, and ordering) and design Monday.com Groups and Status values to match. Stage probabilities from Floww.ai are stored as a numeric Custom Field in Monday.com for reporting reference. Teams with 4 to 12 stages per pipeline in Floww.ai all map cleanly into the Monday.com Status model.

Floww.ai

Activity: Call, Email, Meeting, Task

maps to

monday CRM

Activity Board Item

1:1
Fully supported

Floww.ai Activities (calls, emails, meetings, scheduled tasks) logged against Contacts and Deals migrate as items in an Activity board in Monday.com CRM. Activity type, timestamp, owner, and linked record reference migrate as Custom Fields. We create a cross-board link from the Activity item to the corresponding Contact and Deal items using Monday.com's Connect Board feature or a Custom Field link. Bulk activity exports from Floww.ai require sequential extraction passes, which we coordinate with the customer before migration.

Floww.ai

Custom Object

maps to

monday CRM

Custom Board

1:many
Fully supported

Floww.ai Custom Objects with custom properties and cross-object relationships map to dedicated boards in Monday.com CRM. One-to-many relationships from Floww.ai become cross-board links or Custom Field lookups in Monday.com. Many-to-many relationships require a junction board approach or a multi-select Custom Field linking to the related board. We request a schema map from the customer covering all Custom Object definitions before migration, as Monday.com lacks a native many-to-many relationship type.

Floww.ai

Workflow and Flow

maps to

monday CRM

Automation Inventory Document

1:1
Fully supported

Floww.ai's Flow/Workflow engine is tightly coupled to its runtime and trigger logic and does not migrate as executable objects. We document every active Flow with its trigger conditions, actions, and sequence steps in a written inventory. The customer's admin uses this inventory to rebuild equivalent automations in Monday.com Automations. We do not migrate Flows as code or provide post-migration automation rebuild as standard scope.

Floww.ai

Dashboards and Reports

maps to

monday CRM

Report and Dashboard Documentation

1:1
Not supported

Floww.ai Dashboards are rendered from live queries against the platform's data store and are not exportable as data or configuration. We do not migrate Analytics objects. The underlying data (Deals, Activities, Contacts) migrates to Monday.com boards, where the customer rebuilds reports using Monday.com's native reporting and dashboard tools. We flag which Floww.ai dashboard widgets are based on migrated data so the customer knows which reports can be recreated.

Floww.ai

Attachment and Call Recording

maps to

monday CRM

File Migration Pass

1:1
Fully supported

Attachments linked to Contacts, Deals, and Activities require a separate file export workflow beyond the standard CSV extraction. Call recordings stored within Floww.ai have limited delete and storage management controls and are flagged for explicit customer confirmation before inclusion in migration scope. Monday.com CRM does not include native call recording storage, so any recordings migrated require a separate storage destination (file server or integrated third-party tool) that the customer specifies.

Floww.ai

Tag and Segment

maps to

monday CRM

Tags and Custom Field Labels

1:1
Fully supported

Floww.ai tags used for record segmentation migrate as Monday.com Tags applied to the relevant Contact, Lead, or Deal items. Tags used for content classification migrate as label Custom Fields if the customer prefers structured data over the tag model. We preserve the original tag names and apply them to the corresponding items during migration. The customer chooses the preferred tag strategy during scoping.

Floww.ai

User and Owner

maps to

monday CRM

User

1:1
Fully supported

Floww.ai Users map to Monday.com User accounts matched by email address. We extract every distinct user referenced on Contact, Lead, Deal, and Activity records and resolve by email against the Monday.com workspace. Any Floww.ai User without a matching Monday.com User is flagged in a reconciliation queue for the customer's admin to provision before record import resumes. Owner assignment migrates by resolving the user email to the Monday.com User record.

Floww.ai

Relationship (Cross-Object Link)

maps to

monday CRM

Custom Field Link or Connect Board

lossy
Fully supported

Floww.ai stores cross-object relationships (Contact-to-Deal, Lead-to-Company, Custom-Object-to-Custom-Object) in a non-standard relational schema. We reconstruct these relationships as Monday.com Custom Fields storing the linked item ID, or use Monday.com's Connect Board feature to create cross-board item links. Many-to-many junction tables from Floww.ai require a separate mapping pass and are converted to either a multi-select Custom Field or a dedicated junction board in Monday.com. Relationship cardinality is preserved where possible and flagged where it cannot be directly represented.

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

monday CRM logo

monday CRM gotchas

High

Subitems are not included in bulk exports

High

Daily API call limits vary sharply by plan

Medium

Legacy automations (Sentence Builder) are being deprecated

Medium

Excel and account exports only include table views

Low

Enterprise admins can disable non-admin exports

Pair-specific challenges

  • Manual CSV export introduces coordination risk and import failures

    Floww.ai has no public REST API or bulk export endpoint. All migration data comes from manual in-platform CSV exports that may be subject to pagination limits. We coordinate with the customer to run exports in sequence, validate record counts against the in-platform data before each batch write to Monday.com, and merge multiple filtered exports where row limits are imposed. Because the customer triggers each export from within Floww.ai, any mistake in the export scope (wrong date filter, wrong pipeline filter) requires a re-export and delays the migration timeline. Without a programmatic API, we cannot re-extract on demand without customer involvement.

  • Monday.com board-item model requires schema flattening

    Monday.com CRM does not have native Contact, Account, or Opportunity objects. All CRM records are items within boards, and Custom Fields handle record-level attributes. Floww.ai's relational schema (Contacts linked to Deals, Custom Objects with many-to-many relationships, stage-level filter states per pipeline) must be flattened into a board-group-status-column-item structure. Cross-object relationships become either Custom Fields storing linked item IDs or Monday.com Connect Board links. This structural translation is the most complex part of a Floww.ai to Monday.com migration and must be designed in advance of any data write.

  • Pipeline stage filters do not persist and require manual documentation

    Floww.ai reviewers consistently report that manually configured filters are lost when navigating between pipeline stages. We capture each pipeline's stage-level filter state during scoping as part of the configuration inventory. These filters cannot be exported programmatically from Floww.ai and must be reconstructed manually by the customer in Monday.com after migration. We deliver a written map of which filters were active per stage so the customer can rebuild them in Monday.com board views. This is a manual admin task outside the data migration scope.

  • Recordings and attachments fall outside standard export

    Call recordings and file attachments stored within Floww.ai require a separate file export workflow beyond the standard CSV extraction. Additionally, Monday.com CRM does not include native call recording storage; any recordings migrated require a separate storage destination the customer must specify. We schedule a separate file migration pass for attachments, retrieving them from the platform's storage layer where the customer grants access. Recordings are optional migration targets and are flagged for explicit customer confirmation before inclusion in the migration scope. This two-pass approach adds time and requires the customer to make an explicit scope decision.

Migration approach

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

  1. Discovery and export planning

    We audit the Floww.ai account across all active pipelines, stage definitions, Custom Object schemas, and relationship configurations. We inventory every filter active at each stage, document the workflow (Flow) count and trigger logic for the automation inventory, and count the total records per object type. Because Floww.ai requires manual CSV exports, we work with the customer to design an export sequence that extracts data in manageable batches, validates record counts against the platform's live count, and covers all Custom Objects and relationship tables before migration begins.

  2. Monday.com board design and schema mapping

    We design the Monday.com CRM board architecture before any data writes. Each Floww.ai pipeline becomes a Monday.com Board with Groups representing the top-level grouping and Status columns representing the pipeline stages. Contact and Lead records get dedicated boards with Custom Fields typed to match the Floww.ai source fields. Custom Objects map to their own boards with Custom Fields and Connect Board links replicating the original relationship structure. We extract Floww.ai stage probabilities and store them as numeric Custom Fields in Monday.com for reporting reference.

  3. Test migration and board validation

    We run a test migration into a Monday.com dev workspace or the customer's free trial account using a representative data sample (typically 100-200 records per object type). We validate that Custom Field types map correctly, cross-board links resolve, Status column values match the Floww.ai stage names, and activity timestamps display correctly. The customer reconciles record counts and spot-checks 25 randomly selected records against the Floww.ai source. Any mapping corrections happen in this phase before production migration begins. This step is critical given the structural translation required from Floww.ai's relational schema to Monday.com's board-item model.

  4. Production migration in board dependency order

    We run production migration in dependency order. Boards (the structural containers) are created first. Items are written in this sequence: Contacts and Leads (primary record boards), Deals (pipeline boards with Status columns set to the correct stage), Activities (with cross-board links to Contacts and Deals), Custom Objects (with relationship fields resolved to linked item IDs). Each phase emits a row-count reconciliation report before the next phase begins. Because Floww.ai has no API, each extraction pass is coordinated with the customer and fresh data is pulled at migration time to capture any records created or modified during scoping.

  5. Workflow inventory and filter documentation

    We deliver a written inventory of every active Flow in Floww.ai, documenting its trigger type, conditions, action sequence, and the Flow/Workflow steps. We separately document the stage-level filter state per pipeline that was captured during discovery. The customer uses these documents to rebuild automations in Monday.com Automations and recreate filter views in Monday.com board groups. We do not rebuild Flows or filters as part of the migration. The automation rebuild is an admin task or a separate Monday.com implementation engagement.

  6. Cutover, final delta, and post-migration handoff

    We freeze writes to Floww.ai during cutover, run a final delta extraction capturing any records modified during the migration window, and load the delta into Monday.com. We validate record counts match across all boards and confirm cross-board links resolve. We deliver the final migration report with record counts by board, any unmapped or flagged records, and the workflow inventory document. We do not provide post-migration admin support, training, or automation rebuild as standard scope; these are separate engagements with the customer's implementation team.

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.
monday CRM logo

monday CRM

Destination

Strengths

  • Board-based UI makes pipeline stages and deal progress visually obvious without training.
  • No-code automation builder requires no developer resources to create lead routing and stage-triggered actions.
  • Flexible column system supports custom CRM fields without schema changes or admin involvement.
  • Integrates natively with Slack, Gmail, Outlook, and Zapier with minimal configuration overhead.
  • Layered product means teams already on monday Work Management can add CRM without migrating existing data.

Weaknesses

  • No native Contacts object separate from Items — contacts are managed inside a CRM module's People feature.
  • Pipeline and deal relationships use a flat item model rather than a relational object model, making complex CRM associations awkward.
  • Automations are plan-gated (250 actions/month on Standard, 25,000 on Pro) and the legacy Recipe system is being deprecated.
  • Customization and advanced views (Chart, Formula, Dependency) are locked behind Pro and Enterprise tiers.
  • Per-seat pricing with non-refundable annual billing creates cost lock-in risk during migration.

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 monday 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 monday 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 monday CRM data migrations

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

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Most migrations land between two and three weeks for accounts under 10,000 Contacts and 2,000 Deals with no Custom Objects. Migrations with Custom Objects, multiple active pipelines with distinct stage sets, large activity histories (over 200,000 records), or cross-object relationship resolution move to three to six weeks because of the multi-board design work, relationship flattening, and the manual CSV coordination required for a non-API source. The manual export coordination with Floww.ai adds time compared to migrations from platforms with public APIs.

Adjacent paths

Related migrations to explore

Ready when you are

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