CRM migration
Field-level mapping, validation, and rollback between Floww.ai and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Floww.ai
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
7 of 10
objects map 1:1 between Floww.ai and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
4-8 weeks
Overview
Migrating from Floww.ai to Microsoft Microsoft Dynamics 365 Sales requires navigating a fundamental shift from a no-API, hyper-flexible pipeline model to a structured, API-first CRM built on Dataverse. Floww.ai provides no public REST endpoint or bulk export API, so all source reads depend on manual in-platform CSV exports that we coordinate in batches with the customer. We preserve the full Contact, Lead, Deal, Pipeline, Stage, and Activity record set, and we handle Floww.ai's Custom Object many-to-many relationships by mapping them to Dataverse entity relationships or flattening them into custom fields on the primary record. Pipeline stage filters from Floww.ai cannot be exported programmatically, so we document each pipeline's stage-level filter state for reconstruction in Microsoft Dynamics 365 Sales Processes. Workflows, AI Copilots, and Dashboards do not migrate; we deliver a written configuration inventory for the customer's admin to rebuild using Microsoft Dynamics 365 Sales Processes and Power Automate.
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.
Source platform
Floww.ai platform overview
Scorecard, SWOT, gotchas, and pricing for Floww.ai.
Destination platform
Microsoft Dynamics 365 Sales platform overview
Scorecard, SWOT, gotchas, and pricing for Microsoft Dynamics 365 Sales .
Data migration guide
The complete Microsoft Dynamics 365 Sales migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Microsoft Dynamics 365 Sales migration checklist
Pre- and post-cutover tasks for moving onto Microsoft Dynamics 365 Sales .
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 Microsoft Dynamics 365 Sales , 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
Microsoft Dynamics 365 Sales
Contact
1:1Floww.ai Contact records map directly to Microsoft Dynamics 365 Contact. Standard fields (FullName, Email, Phone, BusinessPhone, CompanyName) migrate 1:1. Floww.ai custom Contact properties migrate as typed fields on the Contact entity in Dataverse. Email address is used as the primary dedupe key during import to prevent duplicate Contact creation.
Floww.ai
Lead
Microsoft Dynamics 365 Sales
Lead
1:1Floww.ai Lead records (distinct from Contacts in Floww.ai's data model) map to Dynamics 365 Lead. Lead source, status, rating, and any custom categorization fields migrate to the corresponding Lead entity fields in Dataverse. We preserve the Floww.ai lead categorization as a custom field for audit and to support any downstream segmentation logic.
Floww.ai
Company
Microsoft Dynamics 365 Sales
Account
1:1Floww.ai Company records map to Dynamics 365 Account. Company name maps to Account Name; domain fields map to Website. Account is created before Contact import so that the CustomerId (Account) lookup relationship is satisfied at the moment of Contact insert. The customer chooses whether to use Account as the primary organizational unit for Deals or to attach Deals directly to Contact records.
Floww.ai
Deal
Microsoft Dynamics 365 Sales
Opportunity
1:1Floww.ai Deal records map to Dynamics 365 Opportunity. Deal value maps to EstimatedRevenue; expected close date maps to EstimatedCloseDate; owner assignment maps to OwnerId. The Deal's linked Pipeline and Stage are resolved during migration by matching Pipeline name to a Microsoft Dynamics 365 Sales Process and Stage to a Stage within that process. We create the Sales Process configuration before migration if it does not already exist in the destination org.
Floww.ai
Pipeline
Microsoft Dynamics 365 Sales
Sales Process + Record Type
lossyFloww.ai Pipelines (which support multiple concurrent pipelines with distinct stage sets) map to Dynamics 365 Record Types on Opportunity, each paired with a corresponding Sales Process that whitelists the relevant stage values. Stage order and naming conventions are reconciled against the Dynamics 365 stage model during configuration design. If the customer has three distinct business lines with different stage sequences, we create three Record Type and Sales Process combinations to preserve that structure.
Floww.ai
Pipeline Stage
Microsoft Dynamics 365 Sales
Opportunity Stage
lossyFloww.ai Pipeline Stages map to Dynamics 365 Opportunity Stage values within the corresponding Sales Process. Stage probability percentages migrate from Floww.ai to Dynamics 365 StageProbability. Note that Floww.ai stage-level filters (which do not persist across navigation in the source platform) are documented as part of the configuration inventory rather than exported directly; we provide a written reconstruction plan for each stage filter that the customer's admin implements in Microsoft Dynamics 365 Sales Processes or Power Automate.
Floww.ai
Activity
Microsoft Dynamics 365 Sales
Activity (Task or Email)
1:1Floww.ai Activities (calls, emails, notes, scheduled tasks logged against Contacts and Deals) map to Dynamics 365 Activity records. Call activities become Task with TaskSubtype=Call; email activities become Email; notes become Annotation (note) records linked via Dataverse RegardingObjectId to the parent Contact, Account, or Opportunity. Activity timestamps (CreatedAt) map to ScheduledEnd for tasks and to ActualStart/ActualEnd for events. The Activity pointer to the linked Contact or Deal record is preserved as RegardingObjectId in Dataverse.
Floww.ai
Custom Object
Microsoft Dynamics 365 Sales
Custom Entity (Dataverse)
1:1Floww.ai Custom Objects with one-to-many and many-to-many relationships map to Dataverse custom entities. We request a schema map from the customer before migration, pre-create the destination schema in Dataverse (including all custom columns, lookup relationships, and many-to-many intersect entities), then migrate records after the primary object migration completes. Many-to-many relationships in Floww.ai become Dataverse Many-to-Many relationships with a corresponding intersect entity; one-to-many relationships become Lookup columns on the child entity. The customer confirms the Dataverse entity naming convention during scoping.
Floww.ai
Owner
Microsoft Dynamics 365 Sales
User
1:1Floww.ai Users referenced on Contacts, Deals, and Activities map to Dynamics 365 User records by email address match. Any Floww.ai Owner without a matching Dynamics 365 User is held in a reconciliation queue for the customer's admin to provision before record import resumes. We do not migrate Floww.ai user roles or permissions; these are reconfigured in Dynamics 365 Security Roles and Teams post-migration.
Floww.ai
Tag
Microsoft Dynamics 365 Sales
Custom Field (Text or Option Set)
lossyFloww.ai Tags used for segmentation migrate as a text field on the relevant record (Contact or Deal) storing comma-separated tag values, or as a multi-select option set if the Dynamics 365 org supports that field type. The customer chooses the tag strategy during scoping. Tags used for Contact Hit List (telesales sequencing) require a separate rebuild plan in Microsoft Dynamics 365 Sales using Sales Process stages or a custom entity if the sequence logic is complex.
| Floww.ai | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Sales Process + Record Typelossy | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| Activity | Activity (Task or Email)1:1 | Fully supported | |
| Custom Object | Custom Entity (Dataverse)1:1 | Fully supported | |
| Owner | User1:1 | Fully supported | |
| Tag | Custom Field (Text or Option Set)lossy | 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
Microsoft Dynamics 365 Sales gotchas
Professional tier 15-table custom table limit blocks migrations
October 2024 pricing increase applies at renewal for all customers
Custom fields must be created in the UI before API writes
Power Platform request limits apply to bulk migrations
Activity records orphaned to inactive owners fail silently
Pair-specific challenges
Migration approach
Discovery and environment provisioning
We audit the source Floww.ai environment with the customer's admin, covering Contacts, Leads, Deals, Pipelines, Stages, Custom Object definitions, Activity types, and record volume. We also inventory active Flows, pipeline filter configurations, and any Custom Object relationship schemas. In parallel, we confirm the destination Microsoft Dynamics 365 Sales environment provisioning: which tier (Essentials, Professional, Premium), whether Dataverse is enabled, and whether the customer has an existing Power Platform environment. The discovery output is a written migration scope and a Dataverse schema requirements document.
Export coordination and CSV validation
Because Floww.ai has no API, we coordinate with the customer's admin to run manual exports in sequence. We request segmented exports by pipeline, stage, and record type to work around any pagination limits the platform imposes. Each export batch is validated for row count, column completeness, and date-range consistency before we proceed to transformation. We flag any gaps (missing fields, truncated records, date format inconsistencies) for the admin to re-export before the transformation pass begins.
Dataverse schema design and provisioning
We design the destination schema in Dynamics 365 Dataverse based on the Floww.ai schema map. This includes creating custom entities for Floww.ai Custom Objects, custom columns on standard entities (Contact, Account, Opportunity, Lead), many-to-many intersect entities for non-standard relationships, and the Sales Processes and Stage definitions that map to each Floww.ai Pipeline. Schema is validated in a Dynamics 365 Sandbox environment before production migration begins. We do not deploy schema directly to production without a sandbox validation sign-off from the customer's admin.
Owner reconciliation and User provisioning
We extract every distinct Floww.ai Owner referenced on Contacts, Deals, Activities, and Custom Objects and match by email against the Dynamics 365 destination org's User table. Owners without a matching User go to a reconciliation queue. The customer's Dynamics 365 admin provisions any missing Users and assigns appropriate Security Roles. This step must complete before record migration begins because OwnerId references are required on most standard entities in Dynamics 365.
Production migration in dependency order
We run production migration in record-dependency order: Users (provisioned, validated), Accounts (from Floww.ai Companies), Contacts (with CustomerId resolved to Account), Leads (with OwnerId resolved), Opportunities (with AccountId, OwnerId, and Sales Process resolved), Activities (Tasks, Emails, Annotations via Dynamics 365 Dataverse API with batch chunking), then Custom Objects last because they often have lookups to standard entities. Each phase emits a row-count reconciliation report before the next phase begins. We use Dataverse Web API with rate-limit handling and exponential backoff for all writes.
Cutover, validation, and configuration inventory handoff
We freeze Floww.ai writes during cutover, run a final delta migration of any records modified during the migration window, then enable Microsoft Dynamics 365 Sales as the system of record. We deliver the Flow, pipeline filter, and Custom Object relationship inventory document to the customer's admin team with recommended Dynamics 365 equivalents (Sales Processes, Power Automate cloud flows, Dataverse relationship definitions). We support a one-week hypercare window where we resolve reconciliation issues. We do not rebuild Floww.ai Flows as Power Automate or Microsoft Dynamics 365 Sales Processes inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Floww.ai
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Microsoft Dynamics 365 Sales .
Object compatibility
1 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
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Floww.ai to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
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