CRM migration

Migrate from Ready_ to Microsoft Dynamics 365 Sales

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_ logo

Ready_

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

56%

5 of 9

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

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Ready_ logo

Ready_

What's pushing teams away

  • Limited advanced features cause teams to outgrow Ready_ as they scale, prompting migration to platforms like HubSpot or Salesforce that offer more sophisticated automation and reporting.
  • Absence of robust integrations with tools like Zapier, Slack, or Gmail means manual workarounds become necessary, reducing efficiency over time.
  • Users report that the platform lacks depth in analytics and reporting, making it difficult to generate the insights that growing teams require.
  • Minimal customization options for workflows and fields force teams with complex sales processes to seek platforms that offer greater flexibility.

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 Ready_ objects map to Microsoft Dynamics 365 Sales

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

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

Ready_ 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

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Ready_ 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

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

Ready_ 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

maps to

Microsoft Dynamics 365 Sales

Record Type + Sales Process

lossy
Fully supported

Each 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

maps to

Microsoft Dynamics 365 Sales

Opportunity Stage

lossy
Fully supported

Stage 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

maps to

Microsoft Dynamics 365 Sales

Email, PhoneCall, Appointment, Task

1:many
Fully supported

Ready_ 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

maps to

Microsoft Dynamics 365 Sales

User

1:1
Fully supported

Ready_ 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)

maps to

Microsoft Dynamics 365 Sales

Custom Field (Contact, Account, Opportunity)

lossy
Fully supported

Ready_ 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

maps to

Microsoft Dynamics 365 Sales

Annotation

1:1
Fully supported

Ready_ 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.

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.

Ready_ logo

Ready_ gotchas

High

No documented bulk export endpoint

Medium

Pipeline and stage names require explicit mapping

Medium

Owner assignments rely on Team Member IDs that do not persist across systems

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

  • Company-to-Account model requires explicit restructuring

    Ready_ uses Contacts and Companies as two separate but loosely coupled record types. Dynamics 365 Sales enforces a hierarchical model where every Contact must have a parent Account. We import Account records first, then link each Contact to its parent Account during the Contact import phase. If a Ready_ Contact has no associated Company, we create a singleton Account record for that contact or flag it for the customer's admin to decide whether to merge with an existing Account. This is a schema restructure, not a field copy, and it must be planned before the migration begins.

  • Ready_ has no bulk export endpoint

    Ready_ does not expose a documented bulk export or batch API. Data extraction requires sequential REST API reads per object type, paginated at 200 records per request, with retry logic on timeout and resume from the pagination token. For accounts with tens of thousands of records, this extraction phase is slower than bulk-capable platforms. We mitigate this by running concurrent reads across independent object types (Contacts and Deals in parallel) and by chunking at the batch level to stay within any undocumented rate limits on the Ready_ API side.

  • Pipeline names and stage values require mapping before import

    Ready_ allows fully custom-named Pipelines and Stages with no enforced convention. Dynamics 365 Sales requires a configured Record Type and Sales Process before Opportunities can be created. We collect the complete pipeline configuration from Ready_ during scoping, build a mapping table to the destination Sales Process and Stage values, and configure the Dynamics schema before any record data is imported. Deals that land in Dynamics without a valid stage assignment trigger validation rule failures and are rejected from the import batch.

  • Owner IDs from Ready_ do not persist across systems

    Ready_ assigns owners to Deals and Activities by internal Team Member ID, which has no meaning in Dynamics 365. We resolve every Team Member ID to their email address during extraction, then match those emails to existing Dynamics User records. If the customer has not yet provisioned User records in Dynamics for all active Team Members in Ready_, migration of those records is held until the admin creates the Users. Owner gaps that go unresolved result in Deals and Activities with no assigned owner in Dynamics, which blocks sales team visibility post-migration.

  • Activity types split across Dataverse entity types

    Ready_ stores all activity types (calls, emails, meetings, tasks) as a single Activity entity with a type discriminator. Dynamics 365 uses separate Dataverse entity types (Email, PhoneCall, Appointment, Task) that each have their own API endpoint and schema. We perform the type split at migration time, routing each Ready_ Activity record to the correct Dataverse entity. This requires three to four times the API call volume compared to a single-entity migration and must be sequenced carefully so that the parent Contact and Opportunity records exist before activity records are inserted.

Migration approach

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

  1. 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).

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Ready_ logo

Ready_

Source

Strengths

  • Predictive dialer with integrated CRM in one platform — agents move directly from auto-dialed connections to a customer record without context-switching.
  • Built-in webphone removes hardware / landline costs for outbound teams; agents call from the browser.
  • ACD, IVR, performance analytics, and a live floor map come bundled rather than as add-on modules.
  • Native integrations with major CRMs (Pipedrive, HubSpot, Salesforce, Podio, Shape, Zoho) for teams running Readymode alongside a system of record.
  • iQ tier includes caller ID reputation monitoring and Autopilot number rotation — features specifically tuned to mitigate spam-likely flagging on outbound calls.

Weaknesses

  • Per-seat pricing of $199-$249/license/month sits at the higher end of outbound dialer pricing — small teams may find lower-cost alternatives sufficient.
  • Third-party integrations are limited on the Starter tier; unlimited integrations require the iQ upgrade.
  • Caller ID reputation monitoring and Autopilot rotation are gated to iQ tier despite being core to modern outbound compliance.
  • Public API documentation is thin — most integration is built through the supported CRM connectors rather than a self-serve developer portal.
  • Note: 'Ready_' / Readymode is a predictive-dialer outbound platform, NOT a general small-team CRM — buyers searching for a generic CRM should evaluate Pipedrive, HubSpot, or Zoho instead.
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?

Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

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

  • Object compatibility

    C

    4 of 8 objects need a mapping; the rest are 1:1.

  • 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

    Ready_: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Ready_ 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 Ready_ to Microsoft Dynamics 365 Sales data migrations

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

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 10,000 Contacts, 3,000 Deals, and a single pipeline. Migrations with multiple pipelines, large activity histories (over 100,000 activity records), or complex owner reconciliation across many Team Members move to six to ten weeks because of the sequential extraction from Ready_'s non-bulk API, Dataverse schema configuration for Sales Processes and Record Types, and the multi-entity activity split. We scope the timeline precisely during discovery based on actual record counts from the source account.

Adjacent paths

Related migrations to explore

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