CRM migration
Field-level mapping, validation, and rollback between Ready_ and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Ready_
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
5 of 9
objects map 1:1 between Ready_ and Microsoft Dynamics 365 Sales .
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Ready_ to Microsoft Dynamics 365 Sales is a migration from a small-team CRM to an enterprise-grade sales platform that lives inside the Microsoft 365 ecosystem. Ready_ stores person records as Contacts and firmographic data as Companies; Dynamics 365 uses Contacts linked to Accounts as the primary account model, requiring a schema restructure rather than a direct field copy. We resolve Team Member IDs to email addresses during extraction so that Deal and Activity ownership maps to the correct Dynamics User records at import time. Pipeline names and stage values require explicit mapping because Ready_ allows fully custom pipeline and stage names with no enforced convention. Dynamics 365 stores activity history as Dataverse activities (Email, PhoneCall, Appointment, Task) that we write via the Dynamics Web API with batch chunking and rate-limit handling. Workflows and any custom field configurations on the source do not migrate as automation logic; we deliver a written field-level inventory and schema map for the customer's Dynamics admin to implement 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
Ready_ platform overview
Scorecard, SWOT, gotchas, and pricing for Ready_.
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 Ready_ 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.
Ready_
Contact
Microsoft Dynamics 365 Sales
Contact
1:1Ready_ Contacts map to Dynamics 365 Sales Contacts with standard fields (fullname, emailaddress1, telephone1, address) migrated directly. The parent Account lookup requires the corresponding Company to be imported first. Custom properties on Ready_ Contacts (text, number, date, picklist types) map to custom fields on the Contact entity in Dataverse, which we pre-create during schema design. Null values in required Dynamics fields receive a placeholder string to prevent import failures; we flag these for the customer's admin to remediate post-migration.
Ready_
Company
Microsoft Dynamics 365 Sales
Account
1:1Ready_ Company records map to Dynamics 365 Sales Account. The company domain in Ready_ becomes the Website field on Account, and company name maps to name. Firmographic fields (industry, number of employees, annual revenue) map to the corresponding standard Account fields. Related Contacts link via the AccountId lookup after the Account record is created. This is the first entity imported because all Contact records have an implicit dependency on a parent Account.
Ready_
Deal
Microsoft Dynamics 365 Sales
Opportunity
1:1Ready_ Deals map to Dynamics 365 Sales Opportunities. The deal value migrates to estimatedvalue, expected close date to estimatedclosedate, and stage name to stageid via the Sales Process mapping. Owner assignment resolves from the Ready_ Team Member email to the corresponding Dynamics User. The deal's pipeline reference requires a mapping to a Dynamics Record Type and Sales Process that we configure during schema design. Closed-Lost and Closed-Won reason custom fields on the Deal map to corresponding custom fields on Opportunity.
Ready_
Pipeline
Microsoft Dynamics 365 Sales
Record Type + Sales Process
lossyEach named pipeline in Ready_ becomes a Dynamics 365 Sales Record Type on Opportunity, with a corresponding Sales Process that defines the available Stage values. The pipeline display order maps to the Sales Process sort order. Without this configuration step, Deals import with no valid stage assignment and are rejected by Dynamics validation rules.
Ready_
Pipeline Stage
Microsoft Dynamics 365 Sales
Opportunity Stage
lossyStage names from each Ready_ pipeline map to Stage values in the corresponding Dynamics Sales Process. Stage sequence order and probability percentage migrate from Ready_ to the Dynamics stage probability field. If a Ready_ pipeline has stages that have no equivalent in the destination Sales Process, we flag the gap and either create a catchall stage or route those Deals to a staging pipeline for manual review.
Ready_
Activity
Microsoft Dynamics 365 Sales
Email, PhoneCall, Appointment, Task
1:manyReady_ Activities carry a type discriminator (call, email, meeting, task). We split them at migration time: emails map to Dataverse Email entities, calls to PhoneCall, meetings to Appointment, and tasks to Task. Each activity type carries the linked record reference (contact or deal), the timestamp, the owner, and the note body or disposition. Activity timestamps preserve the original UTC value to maintain timeline ordering in Dynamics. This split requires entity-level batch sequencing because each Dataverse activity type has its own API endpoint.
Ready_
Team Member
Microsoft Dynamics 365 Sales
User
1:1Ready_ Team Members are the owner entity for Deals and Activities. We extract every distinct Team Member ID referenced in the migration scope, resolve each to their email address and display name, and match by email against the existing Dynamics User table. Any Team Member without a matching Dynamics User is held in an owner reconciliation queue while the customer's admin provisions the User record. OwnerId references cannot be satisfied during import without this step, and Dynamics will reject records with invalid owner references.
Ready_
Custom Field (Contacts, Companies, Deals)
Microsoft Dynamics 365 Sales
Custom Field (Contact, Account, Opportunity)
lossyReady_ custom fields on Contacts, Companies, and Deals map to custom fields on the corresponding Dynamics 365 entity. We extract the field definition (type, label, picklist values) during scoping, create the matching Dataverse custom field with the same logical name during schema design, then migrate the values during the data phase. Text, number, date, and picklist custom fields migrate directly; any unsupported field types are flagged with a type-conversion recommendation.
Ready_
Note
Microsoft Dynamics 365 Sales
Annotation
1:1Ready_ standalone Notes attached to Contacts or Deals migrate to Dynamics 365 Annotation entities (the Dataverse equivalent of notes). Note body, creation timestamp, and linked record reference transfer directly. File attachments on Notes migrate as Dataverse FileField values or become separate DocumentLocation records pointing to SharePoint if the customer's Dynamics environment has SharePoint integration enabled.
| Ready_ | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Record Type + Sales Processlossy | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| Activity | Email, PhoneCall, Appointment, Task1:many | Fully supported | |
| Team Member | User1:1 | Fully supported | |
| Custom Field (Contacts, Companies, Deals) | Custom Field (Contact, Account, Opportunity)lossy | Fully supported | |
| Note | Annotation1:1 | 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.
Ready_ gotchas
No documented bulk export endpoint
Pipeline and stage names require explicit mapping
Owner assignments rely on Team Member IDs that do not persist across systems
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 Ready_ account across Contacts, Companies, Deals, Pipelines, Stages, Activities, custom fields, and Team Members. We record the exact pipeline names, stage names, activity type distribution, and the volume of records per object. We also assess the target Dynamics 365 Sales environment for existing Accounts, Users, and any pre-configured Sales Processes or Record Types. The discovery output is a written migration scope, a data volume estimate, and a list of outstanding pre-conditions (User provisioning, Dynamics environment access, SharePoint setup if attachments are present).
Schema design and pipeline mapping
We configure the Dynamics 365 Sales destination schema before any data moves. This includes creating the Account hierarchy (for Ready_ Companies), creating Contact custom fields from the Ready_ custom field definitions, creating the Record Type and Sales Process for each Ready_ pipeline, mapping Stage values and probabilities, and pre-creating any Opportunity custom fields. Schema is deployed to a Dynamics Sandbox environment first. We also extract the complete Team Member roster from Ready_ and match by email against the Dynamics User table to identify which owners will resolve cleanly and which require User provisioning.
Sandbox migration and reconciliation
We run a full migration into the Dynamics 365 Sandbox using production-like data volume. The customer's sales operations lead reviews record counts (Accounts in, Contacts in, Opportunities in, Activities in by type), spot-checks 20-40 records against the Ready_ source, and validates that pipeline stage assignments match expectations. Any field mapping corrections, stage mapping gaps, or owner resolution failures are corrected in this phase. Sign-off on the sandbox migration is required before production migration begins.
Sequential data extraction from Ready_
We extract data from Ready_ in dependency order using sequential REST API reads with pagination. Account data (from Ready_ Companies) extracts first. Contact data extracts second because it depends on Account IDs for the parent lookup. Owner resolution runs in parallel with extraction, mapping Ready_ Team Member IDs to Dynamics User emails. Activity data extracts last, split by type into separate batches. We chunk reads at 200 records per request, resume from pagination tokens on timeout, and apply exponential backoff if the Ready_ API returns rate-limit responses.
Production migration in dependency order
We run production migration in record-dependency order: Accounts first (from Ready_ Companies), then Contacts with parent AccountId resolved, then Opportunities with OwnerId, AccountId, and RecordTypeId resolved. Activity records (Email, PhoneCall, Appointment, Task) import last, each to its own Dataverse endpoint, with parent-record lookups satisfied before insert. Each phase emits a row-count reconciliation report. Any records rejected by Dynamics validation rules are captured in an error log, corrected, and re-imported in a remediation pass before cutover.
Cutover, validation, and post-migration handoff
We freeze writes to Ready_ 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 a schema map document showing every custom field created, the pipeline-to-Sales-Process mapping, and the owner reconciliation log. We support a one-week hypercare window to resolve record-level issues raised by the sales team. We do not rebuild any Ready_ workflows or custom field configurations as Dynamics automations inside the migration scope; that work is a separate engagement for the customer's Dynamics admin or a Microsoft partner.
Platform deep dives
Ready_
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Ready_ and Microsoft Dynamics 365 Sales .
Object compatibility
4 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
Ready_: Not publicly documented.
Data volume sensitivity
Ready_ 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 Ready_ to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
Walk through your Ready_ to Microsoft Dynamics 365 Sales migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Ready_
Other ways to arrive at Microsoft Dynamics 365 Sales
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.