CRM migration

Migrate from MaxCredible to Microsoft Dynamics 365 Sales

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 logo

MaxCredible

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

60%

6 of 10

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

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

MaxCredible logo

MaxCredible

What's pushing teams away

  • Pricing is opaque and available only upon request, making budget forecasting difficult and causing some SMEs to seek platforms with transparent published tiers.
  • Small team of 11–20 employees based in Amsterdam may raise concerns about long-term support capacity and product roadmap investment as customers scale globally.
  • Limited public documentation on API capabilities and bulk export mechanisms compared to enterprise-grade CRMs, which can slow down migration planning for IT teams.

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 MaxCredible objects map to Microsoft Dynamics 365 Sales

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

maps to

Microsoft Dynamics 365 Sales

Contact or Account

1:1
Fully supported

MaxCredible 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

maps to

Microsoft Dynamics 365 Sales

Invoice (custom entity) or Opportunity

lossy
Fully supported

MaxCredible 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

maps to

Microsoft Dynamics 365 Sales

Credit Note (custom entity) or Invoice adjustment

lossy
Fully supported

MaxCredible 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

maps to

Microsoft Dynamics 365 Sales

Task

1:1
Fully supported

MaxCredible 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)

maps to

Microsoft Dynamics 365 Sales

Email (activity)

1:1
Fully supported

MaxCredible 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)

maps to

Microsoft Dynamics 365 Sales

Activity (custom SMS type)

lossy
Fully supported

MaxCredible 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)

maps to

Microsoft Dynamics 365 Sales

Activity (custom or Note)

lossy
Fully supported

MaxCredible 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

maps to

Microsoft Dynamics 365 Sales

Custom decimal field on Contact/Account

1:1
Fully supported

MaxCredible'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

maps to

Microsoft Dynamics 365 Sales

User

1:1
Fully supported

MaxCredible 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

maps to

Microsoft Dynamics 365 Sales

Note or SharePoint document

1:1
Fully supported

MaxCredible 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.

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.

MaxCredible logo

MaxCredible gotchas

High

ERP XML integration format is proprietary to MaxCredible

Medium

Communication logs use channel-specific formatting

Medium

Tone-of-voice templates are not machine-readable for direct migration

Low

Credit risk scores are snapshot values, not raw behavioral data

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

  • MaxCredible XML schema is proprietary and undocumented

    MaxCredible exchanges data with ERP systems using XML files sent over SSL. The XML schema is not publicly documented on MaxCredible's developer site. When migrating, we request sample XML exports from the customer's MaxCredible instance during scoping, reverse-engineer the element and attribute naming conventions, and build a transformation pipeline that produces Dataverse-compatible payloads. Without sample XML, migration scope carries additional discovery time to cover schema unknowns. We flag this as a risk during scoping and recommend customers export sample XML files before the engagement begins.

  • Communication logs store channel-specific metadata differently

    MaxCredible tracks outbound communications across email, SMS, and WhatsApp, with each channel storing metadata differently. WhatsApp messages include thread context and read receipts, SMS records include carrier metadata, and email logs include template references. Dynamics 365 Sales does not have native SMS or WhatsApp activity types. We normalize these into generic Activity records with channel type preserved in a custom field, but the original channel-specific context (carrier metadata, read receipts, WhatsApp media) is simplified. We flag which communications require rich context preservation during scoping and document the limitation in the migration report.

  • Credit risk scores are snapshot values without behavioral data

    MaxCredible's AI generates a credit risk score per debtor based on payment behavior analysis, but the underlying behavioral data (payment timing history, dispute frequency, DSO contribution) is not separately exposed for export. We migrate the current score and its effective date, but Dynamics 365 cannot reproduce the exact same score without access to the raw behavioral dataset. We document this limitation in the migration report and recommend the customer's finance or operations team recalibrates credit risk models in the destination using Power BI or a dedicated credit scoring integration post-migration.

  • Dynamics 365 field-level security can block record import

    Dynamics 365 organizations commonly enforce field-level security, validation rules, and business rules that the migrating user must bypass during data load. We coordinate with the customer's Dynamics 365 admin to grant the migration user sufficient Dataverse privileges (Create, Write on the target tables) and either temporarily disable blocking validation rules during load or extend them with a migration-context check. Skipping this step results in record rejection on first import attempt, particularly for custom fields and required lookups.

  • Tone-of-voice templates do not migrate as configuration

    MaxCredible's brand voice settings are stored as platform configuration rather than structured data. When migrating to Dynamics 365, tone-of-voice rules must be manually rebuilt in the Dynamics 365 email template editor or Power Automate. We export the template body copy and variable placeholders as a documented handoff so the customer's marketing or operations team can reconstruct settings quickly in the new system. This is a manual rebuild task, not a data migration task.

Migration approach

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

MaxCredible logo

MaxCredible

Source

Strengths

  • AI-driven debtor scoring and credit risk assessments built on internal and external data analytics.
  • Native ERP integrations via XML for Oracle, SAP, and other major accounting platforms with rapid two-to-three-week deployment.
  • Omni-channel communication (email, SMS, WhatsApp) with branded tone-of-voice enforcement across all outreach.
  • Tableau-powered reporting and real-time dashboards for DSO, cash flow, and collections performance visibility.
  • 30-day free trial with no credit card requirement, reducing commitment risk for evaluating fit.

Weaknesses

  • Pricing is opaque and requires a sales conversation, making it difficult for SMBs to self-qualify on budget.
  • Very small team (11–20 employees) may limit long-term product investment and support scalability as the customer base grows.
  • Limited public API documentation and bulk export tooling compared to enterprise CRM platforms, potentially complicating data extraction.
  • Strategic partnerships with Salesforce, Dun & Bradstreet, Rabobank, and MessageBird suggest a best-of-breed rather than all-in-one positioning.
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. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

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

  • Object compatibility

    B

    1 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

    MaxCredible: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your MaxCredible 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 MaxCredible to Microsoft Dynamics 365 Sales data migrations

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

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Most migrations land between three and five weeks for accounts under 10,000 Debtors and 20,000 Invoices with a clean XML export and no complex custom field schema. Migrations with large engagement histories (over 100,000 communication logs), multi-entity debtor structures, complex custom field schemas, or a requirement to create Dataverse custom entities for Invoice and Credit Note move to eight to twelve weeks because of XML reverse-engineering time, Dataverse schema provisioning, and Power Automate workflow design for the customer's admin.

Adjacent paths

Related migrations to explore

Ready when you are

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