CRM migration
Field-level mapping, validation, and rollback between Floww.ai and Nutshell. We move data and schema; workflows are rebuilt natively in Nutshell.
Floww.ai
Source
Nutshell
Destination
Compatibility
5 of 9
objects map 1:1 between Floww.ai and Nutshell.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from Floww.ai to Nutshell is a migration from a hyper-flexible AI-powered platform with no public API to a simpler, API-first CRM that trades Floww.ai's workflow depth for predictability and ease of use. Floww.ai stores data in a non-standard relational schema tied to its Flow and Custom Object engine, requiring us to request a customer-provided schema map before writing anything to Nutshell. The absence of a Floww.ai REST API means all source reads require coordinated manual exports from the platform, which we validate, chunk, and merge before writing to Nutshell via its REST API. We preserve Custom Object records and their cross-object relationships as Nutshell Custom Fields or linked objects, flag attachment and call recording data for separate handling, and deliver a written inventory of any active Floww.ai Flows that the customer must rebuild in Nutshell's automation layer. Nutshell's per-seat pricing (starting at $49 per user per month) is more transparent than Floww.ai's custom-quote per-account model, which helps teams budget post-migration costs more reliably.
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 Floww.ai object lands in Nutshell, 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
Nutshell
Person
1:1Floww.ai Contact records map directly to Nutshell Person records. Standard fields (name, email, phone, company association) migrate 1:1. Custom Contact properties are mapped field-by-field against Nutshell's custom field schema, with text properties becoming Nutshell custom text fields, date properties becoming date fields, and multi-select properties becoming Nutshell multi-select fields where supported.
Floww.ai
Lead
Nutshell
Lead
1:1Floww.ai Lead records (distinct from Contacts in Floww.ai's data model) map to Nutshell Lead. We preserve the Lead's categorization, activity history, and pipeline assignment. Any Floww.ai lead scoring value migrates as a custom number field in Nutshell. If the customer used Floww.ai's Lead and Contact objects interchangeably, we apply the customer's chosen dedupe and merge strategy during scoping.
Floww.ai
Deal
Nutshell
Lead or Person (status-dependent)
lossyFloww.ai Deals tied to open pipeline stages map to Nutshell Lead. Deals with a closed status (closed-won or closed-lost) map to Nutshell Lead with the Won or Lost status set, preserving deal value and close date. We extract the deal value, expected close date, owner assignment, and stage history timeline from Floww.ai and apply the customer's chosen mapping strategy during the write pass.
Floww.ai
Pipeline
Nutshell
Pipeline ( Nutshell CRM )
lossyFloww.ai's multiple concurrent pipelines map to Nutshell Pipelines. We extract each Floww.ai pipeline's stage definitions and map them to Nutshell Pipeline stages, reconciling stage count and naming conventions. Nutshell Pipelines support stage-level probability values, which we set based on the Floww.ai stage probability data where available.
Floww.ai
Pipeline Stages
Nutshell
Stage
lossyFloww.ai stage names and counts vary per pipeline, with some teams using four stages and others using twelve or more. Nutshell's pipeline model uses a simpler stage structure. We map each Floww.ai stage to the closest Nutshell stage equivalent, flagging any stages that cannot map cleanly to Nutshell's standard model for customer decision during scoping.
Floww.ai
Activities and Tasks
Nutshell
Activity
1:1Floww.ai Activities (calls, emails, notes, scheduled tasks logged against Contacts and Deals) map to Nutshell Activity records. We preserve activity type, timestamp, owner, linked record reference, and body content. Bulk activity exports are coordinated with the customer, validated against the source record count, and written to Nutshell via its API in batches.
Floww.ai
Custom Objects
Nutshell
Custom Fields on Person, Lead, or Activity
1:manyFloww.ai Custom Objects with one-to-many or many-to-many relationships require careful resolution. We request a schema map from the customer covering all Custom Object definitions before migration. Simple custom properties become Nutshell custom fields on the primary record. Junction table relationships that reference multiple parent objects are flattened into a delimited custom field on the primary object or stored as a linked record note, depending on the relationship complexity.
Floww.ai
Tag
Nutshell
Tag
1:1Floww.ai tags applied to Contacts, Leads, and Deals migrate to Nutshell Tag values on the corresponding Person, Lead, or Activity record. Tag names are preserved verbatim. If a Contact has multiple tags, they migrate as separate tag values in Nutshell. We do not migrate tag-based segmentation rules or automation logic as these are platform-specific.
Floww.ai
User (Owner)
Nutshell
User
1:1Floww.ai User accounts map to Nutshell User records. We resolve owners by email match against the Nutshell destination User table. Any Floww.ai User without a matching Nutshell User is flagged for the customer's admin to provision before the final write pass. Owner assignments on Deals and Leads resolve to Nutshell User IDs at migration time.
| Floww.ai | Nutshell | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Deal | Lead or Person (status-dependent)lossy | Fully supported | |
| Pipeline | Pipeline ( Nutshell CRM )lossy | Fully supported | |
| Pipeline Stages | Stagelossy | Mapping required | |
| Activities and Tasks | Activity1:1 | Fully supported | |
| Custom Objects | Custom Fields on Person, Lead, or Activity1:many | Mapping required | |
| Tag | Tag1:1 | Fully supported | |
| User (Owner) | User1:1 | 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.
Floww.ai gotchas
No public API forces reliance on manual CSV exports
Pipeline stage filters do not persist across stage changes
Pro-rated account billing requires careful license reconciliation
Custom Objects use non-standard relationship cardinalities
Recording and attachment storage not accessible via bulk export
Nutshell gotchas
Contact tier limits enforced on import
No bulk API endpoint requires paginated extraction
Email sequences not exportable via API
Foundation plan disables key sales features
Pair-specific challenges
Migration approach
Discovery and export coordination plan
We audit the Floww.ai account by reviewing the customer's pipeline configurations, stage definitions, Custom Object schema, active Flows, and record volumes for Contacts, Leads, Deals, and Activities. Because Floww.ai has no API, we work with the customer to map out the exact export sequence: which exports to run first, how to handle pagination limits, and how to validate record counts against the platform's in-app totals. The discovery output is a written migration scope, an export sequence document, and a custom field mapping spreadsheet that the customer reviews and approves before any data moves.
Schema design and custom field mapping
We design the Nutshell destination schema based on the export data. This includes provisioning custom fields in Nutshell for any Floww.ai custom properties that do not have a native equivalent, mapping Floww.ai pipeline stages to Nutshell Pipeline stages, and resolving the deal-to-Lead mapping strategy based on deal status. We also map Floww.ai Custom Object properties to their destination custom fields, flagging any relationship fields that require a separate resolution step. Schema design happens in a Nutshell trial or sandbox environment for validation before production write.
Customer-led CSV export with FlitStack AI validation
The customer runs the Floww.ai exports following our export sequence document. We validate each export file against the record counts reported in the platform, check for duplicate records, verify that required fields are populated, and merge multiple export files where row limits required segmentation. Any discrepancies are raised with the customer for re-export or manual correction before the write pass begins.
Custom Object relationship resolution
We process Floww.ai Custom Objects by first extracting the schema map the customer provided, then resolving any foreign-key references between Custom Objects. Many-to-many junction tables are flattened into a delimited field format, and cross-object lookups are resolved to their destination Nutshell record IDs before the import write pass. This step is the most complex in a Floww.ai migration because the platform's non-standard relationship cardinalities do not map cleanly to Nutshell's flat field model.
Production migration in dependency order
We run production migration in record-dependency order: Users (validated by email match), Persons (from Floww.ai Contacts), Leads (with the deal-status mapping applied), Deals (as closed or open Leads per the mapping strategy), Activities (via Nutshell API in batches with rate-limit handling), Custom Object records (with relationship fields resolved), and Tags. Each phase emits a row-count reconciliation report before the next phase begins. We use Nutshell's REST API with controlled write intervals to avoid overloading the destination.
Cutover, validation, and Flow rebuild handoff
We freeze Floww.ai writes during the cutover window, run a final delta migration of any records modified during the migration period, then enable Nutshell as the system of record. We deliver the Flow and filter inventory document to the customer's admin team, with each Flow documented by name, trigger, conditions, and recommended Nutshell equivalent action. We do not rebuild Flows in Nutshell as part of the migration scope; that work is handled by the customer's admin using Nutshell's task and automation tools. We support a three-day hypercare window for reconciliation issues raised by the customer's team.
Platform deep dives
Floww.ai
Source
Strengths
Weaknesses
Nutshell
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 Floww.ai and Nutshell.
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
Floww.ai: Not publicly documented.
Data volume sensitivity
Floww.ai 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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FAQ
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