CRM migration
Field-level mapping, validation, and rollback between Flowlu and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Flowlu
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
6 of 9
objects map 1:1 between Flowlu and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from Flowlu to Microsoft Dynamics 365 Sales is a structural migration that requires resolving a fundamentally different data architecture. Flowlu combines CRM, project management, and invoicing in one workspace; Dynamics 365 Sales is scoped to sales processes within the broader Microsoft ecosystem. We extract Flowlu's Pipelines and Pipeline Stages and configure them as Sales Processes and Record Types in Dynamics 365 so that migrated Opportunities land in the correct stage on day one. Flowlu's Custom Fields on Opportunities and Contacts require type-by-type mapping to typed Salesforce fields. Time entries, Projects, and Agile Projects have no native Dynamics 365 Sales equivalent; we map time entries to custom fields on Tasks and flag Projects for either a custom entity or a project-management module (Dynamics 365 Project Operations) outside the CRM migration scope. Flowlu automations do not carry over; we deliver a written automation inventory so your admin rebuilds them in Dynamics 365 Flow or Power Automate post-migration.
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
Flowlu platform overview
Scorecard, SWOT, gotchas, and pricing for Flowlu.
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 Flowlu 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.
Flowlu
Contact
Microsoft Dynamics 365 Sales
Contact
1:1Flowlu Contacts map to Dynamics 365 Sales Contacts. The primary key is email address for deduplication. Flowlu lifecycle stage, phone, company association, and custom properties map to Contact fields or custom fields. We flag any Flowlu Contacts exceeding the Dynamics 365 Team Member contact limits if the destination org uses that entry-level tier.
Flowlu
Company
Microsoft Dynamics 365 Sales
Account
1:1Flowlu Companies map to Dynamics 365 Sales Accounts. Company name becomes Account Name, industry maps to Industry picklist, and website maps to Website. The Contact-Company relationship in Flowlu becomes the Contact-Account parent Lookup in Dynamics 365. We resolve the Account reference on each Contact before inserting so that no Contact lands without a parent Account.
Flowlu
Opportunity
Microsoft Dynamics 365 Sales
Opportunity
1:1Flowlu Opportunities map to Dynamics 365 Opportunities. The opportunity amount, expected close date, probability, and custom fields transfer directly. Stage mapping is driven by the parent Pipeline configuration: we map Flowlu pipeline stages to Dynamics 365 Opportunity Stage values and assign the appropriate Sales Process at migration time.
Flowlu
Pipeline
Microsoft Dynamics 365 Sales
Record Type + Sales Process
lossyEach Flowlu Pipeline becomes a Dynamics 365 Sales Record Type with a corresponding Sales Process that defines the available stage values. We extract the full pipeline definition from Flowlu including stage names, display order, and probability percentages, then create matching Record Types and Sales Processes in the Dynamics 365 sandbox before any data loads. This ensures migrated Opportunities land in the correct stage set immediately.
Flowlu
Pipeline Stage
Microsoft Dynamics 365 Sales
Opportunity Stage
lossyIndividual Flowlu Pipeline Stages map to Dynamics 365 Opportunity Stage values within the parent Sales Process. Stage probability percentages transfer to the StageProbability field. We preserve the original Flowlu stage name in a custom field so admins can reference the source stage during validation.
Flowlu
Custom Fields (Opportunities and Contacts)
Microsoft Dynamics 365 Sales
Custom Fields
lossyFlowlu Custom Fields on Opportunities and Contacts map to Dynamics 365 custom fields. We extract the field type from Flowlu (text, number, date, list, checkbox) and create the equivalent Dynamics 365 field type. List fields in Flowlu map to Dynamics 365 picklists or multi-select picklists depending on the selection model. Custom fields are deployed to the sandbox before any record migration begins.
Flowlu
User
Microsoft Dynamics 365 Sales
User
1:1Flowlu Users map to Dynamics 365 Users by email address. We extract every distinct owner referenced on Contacts, Companies, and Opportunities and match by email. Any Flowlu owner without a matching Dynamics 365 User goes to a reconciliation queue for your admin to provision before record import resumes.
Flowlu
Time Entry
Microsoft Dynamics 365 Sales
Custom Task Fields or Custom Entity
1:1Flowlu Time Entries have no native Dynamics 365 Sales equivalent. We map time entries to a custom entity (TimeEntry__c) with lookup to Task and Project, or to custom fields on the Task object (billable hours, time entry date). The approach is determined during scoping based on the customer's reporting needs. Billable flag from Flowlu transfers as a checkbox field on the custom entity or Task.
Flowlu
Project (if scoped)
Microsoft Dynamics 365 Sales
Account or Custom Entity
1:1Flowlu Projects exceed the scope of a standard CRM migration. We offer two paths: map Projects to Accounts with a Project Type custom field (if the customer uses Dynamics 365 Sales standalone), or flag for a separate Dynamics 365 Project Operations migration (a distinct product with its own licensing). The customer selects the path during scoping, and we document the chosen mapping in the migration scope.
| Flowlu | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Pipeline | Record Type + Sales Processlossy | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| Custom Fields (Opportunities and Contacts) | Custom Fieldslossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Time Entry | Custom Task Fields or Custom Entity1:1 | Fully supported | |
| Project (if scoped) | Account or Custom Entity1:1 | 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.
Flowlu gotchas
Free tier contact cap is a hard migration target
Automations and integrations must be rebuilt after migration
No refunds on paid subscriptions after billing period starts
Custom Fields on multiple object types require field-level mapping
API rate limits are not publicly documented
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 scoping
We audit the source Flowlu account across all active modules: Pipelines, Pipeline Stages, Opportunities, Contacts, Companies, Custom Fields per object, Time Entries, active Workflows, and user count. We extract the full pipeline stage definitions with probability values and the complete custom field schema. We also assess which data is in scope for migration and which is out of scope (Projects, Knowledge Base, Agile Issues) so the customer understands the boundary before extraction begins. The discovery output is a written migration scope document confirming record counts, mapping rules, and the out-of-scope list.
Schema design in Dynamics 365 Sandbox
We design the destination schema in a Dynamics 365 Sales Sandbox (or Developer org). This includes creating Record Types and Sales Processes that mirror Flowlu's pipeline structure, provisioning custom fields on Contact, Account, and Opportunity with types matched to Flowlu's field definitions, and configuring field-level security profiles if the org enforces field access restrictions. Schema is validated in the sandbox before any production migration begins.
Automation and workflow inventory
We extract every active Flowlu Workflow with its trigger event, conditions, action sequence, and any delay steps. This inventory is delivered as a written document with each workflow mapped to a recommended Dynamics 365 Flow equivalent. We do not rebuild workflows as part of the migration scope; the document is for your admin or a Dynamics 365 partner to reconstruct post-migration. This step is completed during extraction so it does not delay the data migration timeline.
Owner reconciliation and user provisioning
We extract every distinct Flowlu user referenced as an owner on Contacts, Companies, and Opportunities and match by email against the Dynamics 365 destination org's User table. Any Flowlu owner without a matching Dynamics 365 User goes to a reconciliation queue. Your Salesforce or Dynamics 365 admin provisions missing Users (active or inactive depending on whether the original Flowlu user is still employed). Migration cannot proceed past this step because OwnerId references are required on most standard objects.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Flowlu Companies), Contacts (with AccountId resolved), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved and correct Sales Process stage assigned). Each phase emits a row-count reconciliation report before the next phase begins. For engagements, we use the Dynamics 365 Bulk API or data import tools with batch chunking and exponential backoff. We validate record counts against the source extraction at the close of each phase.
Cutover, validation, and handoff
We freeze Flowlu writes during cutover, run a final delta migration of any records modified during the migration window, then enable Dynamics 365 Sales as the system of record. We deliver the automation inventory document, the reconciliation reports per phase, and a mapping summary showing every Flowlu field and its Dynamics 365 destination. We support a one-week hypercare window for reconciliation issues. Workflow rebuild, project configuration, and Power Automate setup are outside the migration scope and are handed off to your admin or a Dynamics 365 implementation partner.
Platform deep dives
Flowlu
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 Flowlu and Microsoft Dynamics 365 Sales .
Object compatibility
3 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
Flowlu: Not publicly documented.
Data volume sensitivity
Flowlu 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 Flowlu to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
Walk through your Flowlu to Microsoft Dynamics 365 Sales migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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