CRM migration
Field-level mapping, validation, and rollback between Fieldproxy and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Fieldproxy
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
12 of 12
objects map 1:1 between Fieldproxy and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
24–72 hours
Overview
Fieldproxy structures operations around jobs, technicians, and service locations. Dynamics 365 Sales organizes around Accounts, Opportunities, Leads, and Activities. These are fundamentally different data architectures — Fieldproxy is a field-service management platform; Dynamics 365 Sales is a sales CRM — so the migration requires deliberate restructuring, not a field-for-field copy. FlitStack AI extracts Fieldproxy data via the platform's REST API, then maps and transforms records into Dynamics 365's Account-Contact-Opportunity model. Customer records become Accounts (for organizations) or Contacts (for individual service sites). Jobs map to Opportunities with custom fields capturing service-type, technician assignment, and job status. Equipment and asset records become either custom Dataverse entities or Notes attached to the parent Account. Technician profiles become system Users or Contacts depending on whether they are also sales contacts. Custom workflows, automation rules, and AI-dispatch configurations in Fieldproxy do not migrate — they must be rebuilt in Dynamics 365 using Power Automate or Dynamics workflows. We provide a structured export of all workflow definitions as a rebuild reference for your admin team. The migration runs in two phases: a sample migration with field-level diff, then a full cutover with a 24–48 hour delta-pickup window capturing any records modified during the transition.
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
Fieldproxy platform overview
Scorecard, SWOT, gotchas, and pricing for Fieldproxy.
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 Fieldproxy 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.
Fieldproxy
Customer
Microsoft Dynamics 365 Sales
Account
1:1Fieldproxy customers who are businesses or organizations map directly to Dynamics 365 Accounts. Company name maps to Account Name. Primary address maps to the Account's address fields. We flag multi-site customers so each service location can become either a separate Account or a Child Account via Parent Account relationship.
Fieldproxy
Customer (individual)
Microsoft Dynamics 365 Sales
Contact
1:1Individual customers in Fieldproxy without a company association map to Dynamics 365 Contacts. We preserve the email, phone, and any site-specific notes. If the individual is tied to an Account (the organization is also a customer), we link the Contact to the Account via the AccountId lookup in Dynamics.
Fieldproxy
Job / Work Order
Microsoft Dynamics 365 Sales
Opportunity
1:1Fieldproxy jobs become Dynamics 365 Opportunities. The job name maps to Opportunity Name. Job amount or quoted price maps to Estimated Revenue. Job status (Scheduled, In Progress, Completed) maps to a custom Opportunity Status field since Dynamics 365 stages differ from job lifecycle states. Technician assignments and job type become custom fields on the Opportunity.
Fieldproxy
Job
Microsoft Dynamics 365 Sales
Custom Dataverse Table (JobHistory)
1:1For organizations needing full job history preservation, we create a custom JobHistory Dataverse table linked to the Account or Contact. Each migrated job becomes a record in this table with fields for job date, technician, location, service type, and outcome. This captures Fieldproxy's operational history without overloading the native Opportunity object.
Fieldproxy
Location / Site
Microsoft Dynamics 365 Sales
Account (additional address)
1:1Fieldproxy locations associated with a customer become additional address records on the corresponding Dynamics 365 Account. Multi-location customers with separate billing and service addresses get separate address type records (Bill To, Ship To, Service Location). We preserve the location name as an address label.
Fieldproxy
Technician / Field Agent
Microsoft Dynamics 365 Sales
System User / Contact
1:1Fieldproxy technicians who also interact with customers (as sales contacts or account managers) map to Dynamics 365 Contacts. Technicians who only perform field service and do not need CRM access become Contacts with a custom Technician_Flag__c field. If the technician also needs Dynamics 365 login, they are provisioned as a System User; we map their email for owner lookup during migration.
Fieldproxy
Equipment / Asset
Microsoft Dynamics 365 Sales
Custom Dataverse Table (EquipmentAsset)
1:1Fieldproxy equipment records map to a custom EquipmentAsset Dataverse table linked to the Account. The equipment name, model, serial number, and installation date become fields on this custom entity. Maintenance history from Fieldproxy becomes a related Activity log or a custom Audit__c field on the equipment record.
Fieldproxy
Quote / Invoice
Microsoft Dynamics 365 Sales
Quote / Order
1:1Fieldproxy quotes with status 'Sent' or 'Accepted' map to Dynamics 365 Quotes. Accepted quotes map to Sales Orders. Line items map to Opportunity Products. We preserve the quote total, currency, and validity date. Quotes in Draft status are optionally migrated or provided as a data export for manual re-creation in Dynamics.
Fieldproxy
Task / Activity Log
Microsoft Dynamics 365 Sales
Task / Phone Call / Appointment
1:1Fieldproxy activity records (visit notes, status updates, customer communications) map to Dynamics 365 Tasks. Phone call records migrate as Phone Call activities. On-site visit completions migrate as Appointments with the original start/end timestamps preserved. Each activity links to the parent Account, Contact, or Opportunity via the regarding lookup.
Fieldproxy
Custom Object
Microsoft Dynamics 365 Sales
Custom Dataverse Table
1:1Fieldproxy custom objects and their fields map to corresponding custom Dataverse tables and columns. We create the custom table in Dynamics 365, map each custom field by data type (text, number, date, pick-list), and preserve any relationships between custom objects and standard objects (Customer, Job) via Dataverse lookups.
Fieldproxy
Attachment / File
Microsoft Dynamics 365 Sales
Note (Annotation) / SharePoint
1:1Fieldproxy file attachments on jobs, customers, or equipment are downloaded and re-hosted. We attach them to the corresponding Dynamics 365 record as Notes with file attachments, or push them to the Account's SharePoint document library if the organization has SharePoint integration enabled. Original filenames and upload dates are preserved.
Fieldproxy
Workflow / Automation
Microsoft Dynamics 365 Sales
Power Automate / Dynamics Workflow
1:1Fieldproxy workflows and AI-dispatch configurations do not have a direct equivalent in Dynamics 365 Sales. We export all workflow definitions (trigger conditions, actions, branching logic) as a structured JSON document that your admin can use as a reference when rebuilding equivalent automations in Power Automate or Dynamics 365 business rules.
| Fieldproxy | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Customer | Account1:1 | Fully supported | |
| Customer (individual) | Contact1:1 | Fully supported | |
| Job / Work Order | Opportunity1:1 | Fully supported | |
| Job | Custom Dataverse Table (JobHistory)1:1 | Fully supported | |
| Location / Site | Account (additional address)1:1 | Fully supported | |
| Technician / Field Agent | System User / Contact1:1 | Fully supported | |
| Equipment / Asset | Custom Dataverse Table (EquipmentAsset)1:1 | Fully supported | |
| Quote / Invoice | Quote / Order1:1 | Fully supported | |
| Task / Activity Log | Task / Phone Call / Appointment1:1 | Fully supported | |
| Custom Object | Custom Dataverse Table1:1 | Fully supported | |
| Attachment / File | Note (Annotation) / SharePoint1:1 | Fully supported | |
| Workflow / Automation | Power Automate / Dynamics Workflow1:1 | 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.
Fieldproxy gotchas
Custom Workflows do not export as portable definitions
API rate limits and bulk endpoints not publicly documented
Spare Parts inventory requires quantity reconciliation
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
Inventory Fieldproxy data model and export via API
FlitStack connects to your Fieldproxy instance via API using read-only credentials. We export all standard objects (Customers, Jobs, Technicians, Locations, Equipment, Quotes, Activity logs) and any custom objects or fields. We run a data-quality audit that flags duplicate records, missing required fields, and records without a primary customer association — issues that would cause migration failures or orphaned records in Dynamics 365.
Design Dynamics 365 schema and custom Dataverse tables
Based on the Fieldproxy inventory, we design the destination schema in Dynamics 365 Sales. This includes creating any custom Dataverse tables for equipment assets and job history, adding custom fields to the Account and Opportunity objects, and configuring pick-list value mappings for job status, service type, and priority. If your Dynamics 365 instance is not yet on the Enterprise tier, we provide a schema plan that documents the custom tables you need to create before migration begins.
Resolve technician and owner records
Fieldproxy technicians, dispatchers, and office staff are mapped to Dynamics 365 Users by email address match. We run a pre-flight check against your Dynamics 365 user list and flag any Fieldproxy user without a matching email — your admin either provisions the missing user in Dynamics 365 first or assigns those records to a fallback owner. No record migrates without a resolved owner reference, which is required for Dynamics 365 data integrity.
Run sample migration with field-level diff
A representative slice of records — typically 100–500 covering a cross-section of customers, jobs, equipment, and activities — migrates first. We generate a field-level diff comparing the source Fieldproxy values against the destination Dynamics 365 fields so you can verify that job status mapping, equipment linkage, and technician assignment resolved correctly before the full run commits. You approve the sample before we proceed.
Execute full migration with delta-pickup cutover
The full dataset migrates to Dynamics 365. A delta-pickup window of 24–48 hours captures any records created or modified in Fieldproxy during the cutover. FlitStack maintains an audit log of every record migrated, the transformation applied, and any records that failed with the reason. One-click rollback is available if reconciliation against the Fieldproxy export shows unexpected gaps. Workflow definitions are exported as JSON for your admin to rebuild in Power Automate.
Platform deep dives
Fieldproxy
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Fieldproxy and Microsoft Dynamics 365 Sales .
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Fieldproxy and Microsoft Dynamics 365 Sales .
Object compatibility
All 8 core objects map 1:1 between Fieldproxy and Microsoft Dynamics 365 Sales .
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
Fieldproxy: Not publicly documented.
Data volume sensitivity
Fieldproxy 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 Fieldproxy to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
Walk through your Fieldproxy to Microsoft Dynamics 365 Sales migration with a real engineer — 30 minutes, free, written quote within 24 hours.
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Other ways to leave Fieldproxy
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