CRM migration

Migrate from Fieldproxy to Microsoft Dynamics 365 Sales

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 logo

Fieldproxy

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

100%

12 of 12

objects map 1:1 between Fieldproxy and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Fieldproxy logo

Fieldproxy

What's pushing teams away

  • G2 reviewers report intermittent technical issues and errors during ticket management, with support response times occasionally delaying urgent resolutions.
  • Documentation coverage is thin — users and migration teams have limited self-service reference material when troubleshooting or scoping data exports.
  • Support responsiveness varies; some reviewers experienced delays when raising non-critical but blocking issues during operational hours.
  • Custom workflow complexity can outpace the platform's ability to surface them clearly, making it harder to audit what automations exist before migrating away.

Choosing

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

What's pulling them in

  • Deep Microsoft 365, Teams, and Outlook integration makes Microsoft Dynamics 365 Sales a natural fit for Microsoft-first organizations already invested in that ecosystem
  • Sales Enterprise and Premium tiers offer unlimited custom tables and advanced AI-driven forecasting and predictive analytics not available in lower tiers
  • Professional tier pricing at $65 per user per month offers a lower entry cost than Salesforce for SMB teams with straightforward CRM needs
  • Flexible customization options allow businesses to build bespoke apps, tailor forms and views, and integrate with other Dynamics 365 modules
  • Microsoft Copilot AI tools are embedded directly into the sales workflow on Enterprise and Premium, automating routine tasks and providing deal intelligence

Object mapping

How Fieldproxy objects map to Microsoft Dynamics 365 Sales

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

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Fieldproxy 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)

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

Individual 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

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

Fieldproxy 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

maps to

Microsoft Dynamics 365 Sales

Custom Dataverse Table (JobHistory)

1:1
Fully supported

For 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

maps to

Microsoft Dynamics 365 Sales

Account (additional address)

1:1
Fully supported

Fieldproxy 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

maps to

Microsoft Dynamics 365 Sales

System User / Contact

1:1
Fully supported

Fieldproxy 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

maps to

Microsoft Dynamics 365 Sales

Custom Dataverse Table (EquipmentAsset)

1:1
Fully supported

Fieldproxy 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

maps to

Microsoft Dynamics 365 Sales

Quote / Order

1:1
Fully supported

Fieldproxy 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

maps to

Microsoft Dynamics 365 Sales

Task / Phone Call / Appointment

1:1
Fully supported

Fieldproxy 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

maps to

Microsoft Dynamics 365 Sales

Custom Dataverse Table

1:1
Fully supported

Fieldproxy 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

maps to

Microsoft Dynamics 365 Sales

Note (Annotation) / SharePoint

1:1
Fully supported

Fieldproxy 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

maps to

Microsoft Dynamics 365 Sales

Power Automate / Dynamics Workflow

1:1
Fully supported

Fieldproxy 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.

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.

Fieldproxy logo

Fieldproxy gotchas

High

Custom Workflows do not export as portable definitions

Medium

API rate limits and bulk endpoints not publicly documented

Medium

Spare Parts inventory requires quantity reconciliation

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales gotchas

High

Professional tier 15-table custom table limit blocks migrations

High

October 2024 pricing increase applies at renewal for all customers

Medium

Custom fields must be created in the UI before API writes

Medium

Power Platform request limits apply to bulk migrations

Medium

Activity records orphaned to inactive owners fail silently

Pair-specific challenges

  • Field service jobs are not native CRM opportunities

    Fieldproxy models a job as the primary operational record; Dynamics 365 Sales models the Opportunity as a sales-pipeline record. These are semantically different objects. Migrating jobs as Opportunities requires accepting that Dynamics 365's native stage-progress workflow will not reflect the Fieldproxy job lifecycle without custom fields and business rules to bridge the gap. Your admin will need to configure how Opportunity stages interact with the custom job_status__c field FlitStack creates, or accept that the Opportunity represents a sold service contract rather than the individual service visits that make up that contract.

  • Unlimited-users pricing collision with Dynamics per-user licensing

    Fieldproxy bills at the organization level with unlimited users. Dynamics 365 Sales bills per user per month. If your Fieldproxy instance has 50+ technicians, dispatchers, and office staff all accessing the platform, switching to Dynamics 365 Sales means identifying exactly which users need a Sales license versus a Team Member license ($8/user/month for limited read-only access) versus no license at all. We flag users who appear in Fieldproxy but have no corresponding CRM role, and we can provision them as Contacts or inactive users to avoid unnecessary license costs.

  • Technician-to-user mapping requires admin decision on licensing

    Fieldproxy technicians are full platform users. In Dynamics 365 Sales, provisioning a technician as a System User requires a full Sales Enterprise license ($105/user/month) even if that technician never touches the CRM side. We surface this as a pre-migration decision point: each technician can become a licensed System User, an unlicensed Contact with a custom role flag, or be excluded from the user model entirely and represented only as historical data on the job record.

  • GPS and scheduling data has no Dynamics 365 Sales equivalent

    Fieldproxy captures real-time technician GPS coordinates, route data, and intelligent scheduling decisions. Dynamics 365 Sales has no native scheduling, dispatch, or geolocation module — those capabilities require the separate Dynamics 365 Field Service add-on ($95–$170/user/month) or a third-party scheduling integration. FlitStack migrates the data (technician assignments, site locations, service visit timestamps) but cannot replicate the live scheduling engine. If you need ongoing field scheduling in Dynamics, you will need to license and configure Field Service separately.

  • Custom Dataverse table creation requires Enterprise licensing

    Migrating Fieldproxy equipment, job history, and technician skills as Dataverse custom tables requires Dynamics 365 Sales Enterprise (at minimum) — the Professional tier caps custom tables at 15 total. If your Fieldproxy setup uses more than 15 custom fields across objects, or you have more than one custom object type, you may need to upgrade to Enterprise before migration to avoid hitting the custom-table ceiling. We audit your Fieldproxy custom-field count during the planning phase and flag this before you commit.

Migration approach

Six steps for a successful Fieldproxy to Microsoft Dynamics 365 Sales data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Fieldproxy logo

Fieldproxy

Source

Strengths

  • 24-hour deployment with dedicated Solution Consultant — workspace is live and wired to QuickBooks, Stripe, Calendar, and WhatsApp by day one.
  • Unlimited-users pricing model — no per-seat cost escalation as teams grow.
  • YC-backed with 400+ customers, 50K+ technicians, and 99.9% uptime SLA.
  • AI-powered scheduling, task routing, and spare-parts replenishment are built into the platform rather than add-ons.
  • Mobile apps for iOS and Android with offline-first sync for field technicians in low-connectivity areas.

Weaknesses

  • API documentation is not publicly indexed — rate limits, bulk endpoints, and schema details are not available for pre-migration assessment.
  • Custom workflow automations are not exportable and must be manually rebuilt on the destination platform.
  • Documentation quality is a known complaint — limited self-service reference material for technical users and migration teams.
Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

Destination

Strengths

  • Native integration with Microsoft 365, Teams, Outlook, and SharePoint for unified productivity workflow
  • Unlimited custom tables and complex workflows on Enterprise tier enable deep customization for complex sales processes
  • AI-driven predictive analytics and deal intelligence on Enterprise and Premium tiers help sales teams prioritize pipeline
  • Dataverse unified data layer provides a consistent API and data model across all Dynamics 365 and Power Platform apps
  • Strong security model with Field-Level Security and Record Ownership rules for governance-conscious enterprises

Weaknesses

  • Sales Professional tier caps custom tables at 15, creating a migration ceiling for highly customized SMB environments
  • October 2024 pricing increases of $15 per user across all tiers apply to existing customers upon renewal
  • Implementation typically requires costly certified partners, adding 30–50% to total project cost
  • Updates and platform releases can disrupt customizations and plugins, requiring regression testing after each wave
  • Non-Microsoft integrations require additional configuration or middleware, limiting flexibility for heterogeneous tech stacks

Complexity grading

How hard is this migration?

Standard CRM migration. All 8 core objects map 1:1 between Fieldproxy and Microsoft Dynamics 365 Sales .

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Fieldproxy and Microsoft Dynamics 365 Sales .

  • Object compatibility

    A

    All 8 core objects map 1:1 between Fieldproxy and Microsoft Dynamics 365 Sales .

  • 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

    Fieldproxy: Not publicly documented.

  • Data volume sensitivity

    B

    Fieldproxy doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Fieldproxy to Microsoft Dynamics 365 Sales 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 Fieldproxy to Microsoft Dynamics 365 Sales data migrations

Answers to the questions buyers ask most during Fieldproxy to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most Fieldproxy to Dynamics 365 migrations complete in 24–72 hours of clock time for datasets under 50,000 records. Larger migrations with more than 100,000 records or complex multi-custom-object configurations extend to 5–10 days. The longest planning step is designing the Dataverse custom table schema if you are migrating equipment, job history, or technician skills as custom entities rather than standard Dynamics objects.

Adjacent paths

Related migrations to explore

Ready when you are

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Land in Microsoft Dynamics 365 Sales , intact.

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