CRM migration
Field-level mapping, validation, and rollback between MaxCredible and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
MaxCredible
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
6 of 10
objects map 1:1 between MaxCredible and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from MaxCredible to Microsoft Dynamics 365 Sales is a debt-management-centric migration into a general-purpose CRM. MaxCredible organizes data around Debtors with linked Invoices, Credit Notes, and Reminders on a receivables ledger; Dynamics 365 Sales uses Accounts, Contacts, and Opportunities. We extract MaxCredible's XML export during discovery, reverse-engineer the proprietary schema to build a compatible transformation pipeline, and map debtor records to Contact or Account entities based on the customer's data model preference. Credit risk scores migrate as snapshot values; the underlying behavioral data is not separately exportable. Communication logs across email, SMS, and WhatsApp normalize into Dynamics 365 Activity records, with channel metadata preserved in custom fields where the destination supports it. Tone-of-voice templates, workflow automations, and Tableau report definitions do not migrate as code; we deliver written inventories for the customer's admin to rebuild.
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
MaxCredible platform overview
Scorecard, SWOT, gotchas, and pricing for MaxCredible.
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 MaxCredible 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.
MaxCredible
Debtor
Microsoft Dynamics 365 Sales
Contact or Account
1:1MaxCredible Debtors are the primary entity containing contact details, credit risk scores, payment behavior history, and communication preferences. We map Debtors 1:1 to Dynamics 365 Contact (for individual debtors) or Account (for company-level debtors) based on the debtor_type field in MaxCredible. The debtor's email, phone, address, and credit risk score migrate to typed fields; credit risk score becomes a custom decimal field on Contact or Account. We request sample XML exports during scoping to confirm the debtor schema before transformation.
MaxCredible
Invoice
Microsoft Dynamics 365 Sales
Invoice (custom entity) or Opportunity
lossyMaxCredible Invoices are linked to Debtors via a foreign key and include amount, due date, status, and aging bucket. Dynamics 365 Sales does not include a native invoice entity at the base tier; we create a custom Invoice table in Dataverse with a Lookup to Contact or Account, Invoice Number, Amount, Due Date, Status, and Aging Bucket fields. Invoice status maps to a Dataverse choice field (Open, Overdue, Paid, Written Off). If the customer uses Dynamics 365 Business Central alongside Sales, we map to the Business Central Sales Invoice table instead.
MaxCredible
Credit Note
Microsoft Dynamics 365 Sales
Credit Note (custom entity) or Invoice adjustment
lossyMaxCredible Credit Notes are issued against Invoices to adjust receivable amounts. We create a custom CreditNote Dataverse table linked to the parent Invoice record, with fields for Credit Note Number, Original Invoice reference, Adjustment Amount, Reason, and Issue Date. The net receivable balance is recalculated during migration to reflect the credit note offset against the original invoice balance.
MaxCredible
Reminder
Microsoft Dynamics 365 Sales
Task
1:1MaxCredible Reminders are time-based tasks triggered by invoice aging rules, linked to both the Debtor and the associated Invoice. We map these to Dynamics 365 Task records with Subject, Description, Due Date, Status, and Priority preserved. The Task gets a Regarding lookup pointing to the migrated Contact or Account record and, where the Dataverse schema supports it, a secondary Regarding pointing to the custom Invoice record.
MaxCredible
Communication Log (Email)
Microsoft Dynamics 365 Sales
Email (activity)
1:1MaxCredible email communications store sender, recipient, subject, body, timestamp, template reference, and delivery status. We map these to Dynamics 365 Email (activity) records linked via Regarding to the Contact or Account. The MaxCredible template reference migrates to a custom text field for documentation; the full email body migrates to Description. Delivery status is preserved in a custom choice field.
MaxCredible
Communication Log (SMS)
Microsoft Dynamics 365 Sales
Activity (custom SMS type)
lossyMaxCredible SMS logs include carrier metadata, phone numbers, message content, and timestamp. Dynamics 365 Sales does not have a native SMS activity type at base tier. We create a custom activity type (msdyn_smsmessage) in Dataverse or map SMS logs to generic Activity records with channel metadata preserved in custom fields. The customer's admin can extend this with an SMS connector (Twilio, TeleSign) post-migration if needed.
MaxCredible
Communication Log (WhatsApp)
Microsoft Dynamics 365 Sales
Activity (custom or Note)
lossyMaxCredible WhatsApp logs include thread context, message content, read receipts, and media references. Dynamics 365 has no native WhatsApp integration. We map WhatsApp thread history to Activity records with thread metadata in custom fields, or to Notes attached to the Contact record. Rich context (media attachments, read status) migrates as Note attachments with a link back to the originating Activity record.
MaxCredible
Risk Score
Microsoft Dynamics 365 Sales
Custom decimal field on Contact/Account
1:1MaxCredible's AI-driven credit risk score per debtor is a snapshot value with an effective date. We migrate the current score and score_effective_date to custom fields on the Contact or Account entity (credit_score__c and credit_score_date__c). The underlying behavioral data (payment timing history, dispute frequency) is not separately exposed in MaxCredible's export and cannot be migrated. We document this limitation and recommend recalibrating credit risk models in Dynamics 365 using Power Automate or a dedicated credit scoring integration post-migration.
MaxCredible
User
Microsoft Dynamics 365 Sales
User
1:1MaxCredible user accounts define platform access and role (Collector, Manager, Admin). We export User records with name, email, and role. In Dynamics 365, we match by email against the existing Azure Active Directory-synced User table. Any MaxCredible user without a matching Dynamics 365 User goes to a reconciliation queue for the customer's admin to provision before record import resumes.
MaxCredible
Document/Attachment
Microsoft Dynamics 365 Sales
Note or SharePoint document
1:1MaxCredible supports documents linked to Debtors or Invoices (contracts, proof of delivery, correspondence). We extract binary attachments and store them alongside migrated records. If the Dynamics 365 org is configured with SharePoint integration, we upload files to the associated SharePoint document library linked via Regarding. Otherwise, we attach files as Notes to the Contact or Account record.
| MaxCredible | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Debtor | Contact or Account1:1 | Fully supported | |
| Invoice | Invoice (custom entity) or Opportunitylossy | Fully supported | |
| Credit Note | Credit Note (custom entity) or Invoice adjustmentlossy | Fully supported | |
| Reminder | Task1:1 | Fully supported | |
| Communication Log (Email) | Email (activity)1:1 | Fully supported | |
| Communication Log (SMS) | Activity (custom SMS type)lossy | Fully supported | |
| Communication Log (WhatsApp) | Activity (custom or Note)lossy | Fully supported | |
| Risk Score | Custom decimal field on Contact/Account1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Document/Attachment | Note or SharePoint document1:1 | 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.
MaxCredible gotchas
ERP XML integration format is proprietary to MaxCredible
Communication logs use channel-specific formatting
Tone-of-voice templates are not machine-readable for direct migration
Credit risk scores are snapshot values, not raw behavioral data
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 XML schema extraction
We audit the customer's MaxCredible instance to understand debtor volume, invoice count, credit note volume, communication log count by channel, active reminder workflows, custom field definitions, and user count. We request sample XML exports of Debtors, Invoices, Credit Notes, and Reminders during this phase to reverse-engineer the proprietary schema. We pair this with a Dynamics 365 edition assessment: Basic ($40/user) covers core contact and opportunity management; Professional ($80/user) adds sales intelligence and forecasting; Sales Premium adds AI seller insights and Viva Sales. The discovery output is a written migration scope and a Dynamics 365 edition recommendation.
Dataverse schema design and custom entity provisioning
We design the destination schema in Dataverse. This includes creating custom Invoice and CreditNote tables if needed, provisioning custom fields on Contact and Account (credit_score__c, credit_score_date__c, channel_type__c, template_reference__c), configuring lookups between Invoice and Contact/Account, and defining choice fields for invoice status, aging bucket, and communication channel. If the customer uses Business Central, we align the schema with the Business Central chart of accounts and customer posting groups. Schema is deployed to a Sandbox org first for validation before any data moves.
Sandbox migration and reconciliation
We run a full migration into a Dynamics 365 Sandbox using production-like data volume. The customer's Dynamics 365 admin reconciles record counts (Contacts in, Accounts in, custom Invoice records in, Activities in), spot-checks 25-50 random records against the MaxCredible source, and validates that lookups between Invoice and Contact resolve correctly. Any mapping corrections happen in the Sandbox, not in production. This phase also confirms whether the XML schema was fully reverse-engineered or whether additional samples are needed.
User reconciliation and Azure AD provisioning
We extract every distinct MaxCredible User referenced on Debtor, Invoice, and Reminder records and match by email against the Dynamics 365 destination org's User table (synced from Azure Active Directory). Users without a matching Dynamics 365 User go to a reconciliation queue. The customer's admin provisions any missing users in Azure AD, which syncs to Dynamics 365 on the next cycle. Migration cannot proceed past this step because Owner lookup references are required on most standard and custom entities.
Production migration in dependency order
We run production migration in record-dependency order: Contacts and Accounts (from MaxCredible Debtors), custom Invoice records (with Contact/Account lookup resolved), Credit Note records (with parent Invoice lookup resolved), Activity records (Tasks from Reminders, Emails, SMS, WhatsApp from Communication Logs), Documents and Attachments. Each phase emits a row-count reconciliation report before the next phase begins. We use Dynamics 365 OData API with batch requests and exponential backoff on throttling responses.
Cutover, validation, and configuration rebuild handoff
We freeze MaxCredible writes during cutover, run a final delta migration of any records modified during the migration window, then enable Dynamics 365 as the system of record. We deliver the Tone-of-Voice Template documentation and the Reminder Workflow inventory to the customer's admin team with recommended Power Automate equivalents. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild MaxCredible workflow automations as Power Automate flows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
MaxCredible
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 MaxCredible and Microsoft Dynamics 365 Sales .
Object compatibility
1 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
MaxCredible: Not publicly documented.
Data volume sensitivity
MaxCredible 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
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