CRM migration
Field-level mapping, validation, and rollback between MaxCredible and Nutshell. We move data and schema; workflows are rebuilt natively in Nutshell.
MaxCredible
Source
Nutshell
Destination
Compatibility
5 of 10
objects map 1:1 between MaxCredible and Nutshell.
Complexity
BStandard
Timeline
3-5 weeks
Overview
MaxCredible is an accounts-receivable automation platform built around a debtor-centric data model — Debtors, Invoices, Credit Notes, Reminders, and communication logs across email, SMS, and WhatsApp. Nutshell is a sales CRM built around People, Companies, Deals, and Activities. The two platforms share no native object equivalents for invoices, credit limits, or AR-specific concepts. We handle the structural conversion: debtor records become Nutshell People and Companies, invoice data lands in custom fields on People or Deals, credit notes require custom field or deal-line-item treatment, reminders become Tasks, and communication logs become Activity records. We do not migrate the receivables ledger, Tableau reports, ERP integration configuration, or MaxCredible workflow automations — these are either accounting-specific or platform-native and do not survive transfer. We deliver a written inventory of tone-of-voice templates and workflow rules so your team can rebuild them in Nutshell's template and automation editors 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.
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 Nutshell, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
MaxCredible
Debtor
Nutshell
Person and Company
1:1MaxCredible debtors are the primary entity containing contact details, credit risk scores, payment behavior history, and payment terms. We map MaxCredible debtors 1:1 to Nutshell People, with company-level information (if the debtor represents a business entity) mapped to Nutshell Companies. The debtor's name, email, phone, and address fields map directly to Person fields. Payment terms and segment assignments become custom fields on the Person record. We use email as the dedupe key during import.
MaxCredible
Invoice
Nutshell
Custom Fields on Person or Deal
lossyMaxCredible invoices have no native equivalent in Nutshell because Nutshell is a sales CRM without an invoice object. Invoice amount, due date, aging status, and invoice-to-debtor linkage migrate as a collection of custom fields on the related Person record or as a custom Deal record with AR-specific field names. We recommend a Deal-based approach when invoice tracking is frequent, using a dedicated 'AR Tracking' pipeline in Nutshell. The customer chooses the approach during scoping based on their invoice volume and reporting needs.
MaxCredible
Credit Note
Nutshell
Deal Line Item or Custom Field
lossyMaxCredible credit notes adjust invoice amounts and are linked to a parent invoice. We map credit notes as negative line items on a Deal record (if using the Deal-based invoice approach) or as a dedicated custom field tracking net balance adjustments on the Person record. The net receivable balance across all invoices and credit notes per debtor is recalculated and stored as a custom field during migration.
MaxCredible
Reminder
Nutshell
Task
1:1MaxCredible reminders are time-based tasks triggered by invoice aging rules and assigned to credit management handlers. We map reminders to Nutshell Tasks with the due date, subject, and assignee preserved. The debtor and invoice references are stored as custom fields on the Task so that the handler can navigate to the linked Person record in Nutshell. Reminder escalation levels (first reminder, second reminder, escalation) map to Nutshell Task Priority or a custom priority field.
MaxCredible
Communication Log
Nutshell
Activity (Note or Task)
1:manyMaxCredible tracks outbound communications across email, SMS, and WhatsApp as separate channel-specific logs. We normalize all three channels into Nutshell Activity records (Notes or Tasks depending on the channel type). Email logs map to Nutshell Note records with the template name and channel flag preserved. SMS and WhatsApp logs map to Task records with a custom channel_type field. Channel-specific metadata (WhatsApp thread context, SMS carrier data) is simplified during normalization and stored as a JSON or text blob in a custom field. Customers requiring rich channel context preservation should flag this during scoping.
MaxCredible
Tone-of-Voice Template
Nutshell
Documentation (no direct migration)
lossyMaxCredible tone-of-voice templates are stored as platform configuration with brand-style enforcement across email, SMS, and WhatsApp channels. Nutshell has an email template editor but no cross-channel brand voice enforcement feature. We export the full template body copy, variable placeholders, and segment-to-template assignments as a structured CSV and PDF documentation package. The customer's operations or marketing team uses this documentation to rebuild templates in Nutshell's editor post-migration. This is not an automated migration step.
MaxCredible
Credit Risk Score
Nutshell
Custom Field on Person
1:1MaxCredible generates an AI-driven credit risk score per debtor based on payment behavior analysis. We export the current score value and the effective date as a custom field on the Nutshell Person record (e.g., credit_risk_score__c and score_effective_date__c). The underlying behavioral data (payment timing history, dispute frequency) is not exposed by MaxCredible's API and cannot be migrated. The destination system cannot reproduce the same score without raw behavioral data, so we recommend recalibrating credit risk models in Nutshell using post-migration payment data.
MaxCredible
Receivables Ledger
Nutshell
Not migrated
1:1The MaxCredible receivables ledger aggregates all open invoice items per debtor into a running balance view. Nutshell does not have a ledger or accounting object. We do not migrate the ledger as a data structure. Instead, we extract the per-debtor open balance as a custom field on the Nutshell Person record (open_receivable_balance__c). The customer's accounting team maintains the authoritative ledger in their ERP post-migration.
MaxCredible
User
Nutshell
User
1:1MaxCredible user accounts (name, email, role, and permission level) map to Nutshell User records. We match users by email address. Any MaxCredible user without a matching Nutshell User account goes to a reconciliation queue for the customer's admin to provision before the migration continues.
MaxCredible
Custom Field
Nutshell
Custom Field
lossyMaxCredible supports user-defined fields on core objects. We extract the full custom field schema during discovery, including field name, type, and all values per record. Custom field definitions must be recreated in Nutshell before data import. Nutshell custom fields support text (225 character limit), long text, currency, date, number, checkbox, and dropdown types. Long-text or high-character-count fields from MaxCredible may need to be split into multiple Nutshell text fields or truncated if they exceed Nutshell's limits.
| MaxCredible | Nutshell | Compatibility | |
|---|---|---|---|
| Debtor | Person and Company1:1 | Fully supported | |
| Invoice | Custom Fields on Person or Deallossy | Fully supported | |
| Credit Note | Deal Line Item or Custom Fieldlossy | Fully supported | |
| Reminder | Task1:1 | Fully supported | |
| Communication Log | Activity (Note or Task)1:many | Fully supported | |
| Tone-of-Voice Template | Documentation (no direct migration)lossy | Fully supported | |
| Credit Risk Score | Custom Field on Person1:1 | Fully supported | |
| Receivables Ledger | Not migrated1:1 | Mapping required | |
| User | User1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | 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
Nutshell gotchas
Contact tier limits enforced on import
No bulk API endpoint requires paginated extraction
Email sequences not exportable via API
Foundation plan disables key sales features
Pair-specific challenges
Migration approach
Discovery and XML schema extraction
We extract the full data set from MaxCredible: debtor records, invoice records, credit notes, reminders, communication logs across all channels, user accounts, custom field definitions and values, and tone-of-voice template bodies. We also request sample XML files from the customer's MaxCredible instance during discovery so we can validate the export schema before running the migration. We review the MaxCredible payment journey profiles (segment assignments, follow-up strategy rules) and document the tone-of-voice template structure for the handoff package. Discovery output is a written migration scope with a confirmed object mapping, field list, and timeline.
Schema design and custom field provisioning in Nutshell
We create the Nutshell custom fields required to receive MaxCredible's AR data: invoice fields on Person or Deal (amount, due date, aging bucket, invoice reference), credit risk score fields, communication channel flags, and any custom fields defined in MaxCredible. We configure the AR Tracking pipeline (if using the Deal-based approach) and set up pipeline stages aligned with the customer's invoice aging buckets. Nutshell's 225-character limit on text fields is applied during schema design, and any fields exceeding this limit are flagged for splitting or truncation. Schema is validated in a Nutshell trial or sandbox account before migration begins.
Data transformation and debtor-to-person conversion
We transform MaxCredible's debtor-centric records into Nutshell's Person-and-Company structure. Debtors with a business name become both a Nutshell Company and a Nutshell Person (primary contact); sole debtors become a Person only. Invoice data is extracted from the debtor-to-invoice relationship and written to the appropriate custom fields on the Person or Deal. Credit notes are resolved against their parent invoice and the net balance adjustment is computed and stored. Credit risk scores and payment journey segment assignments are extracted as standalone custom fields. Communication logs are normalized across all three channels into a unified activity format.
Test migration and reconciliation
We run a test migration into a Nutshell trial account using a representative sample of data — typically 100-200 debtor records with associated invoices, credit notes, and communication logs. We reconcile record counts (People in, Companies in, Deals in, Activities in), spot-check 20-30 records against the MaxCredible source for field-level accuracy, and validate that custom fields populated correctly. Any mapping corrections, truncation adjustments, or schema changes are applied before the production migration begins. The customer reviews the test output and signs off in writing.
Production migration in dependency order
We run production migration in dependency order: Nutshell Users (validated), Companies (from business-named debtors), People (with CompanyId resolved), Deals (AR Tracking pipeline, with PersonId resolved), custom field values on Person and Deal records, Tasks (from Reminders with assignee resolved via User mapping), and Activity records (from Communication Logs with PersonId resolved). Each phase emits a row-count reconciliation report before the next phase begins. We use Nutshell's native import interface and REST API with rate-limit handling and batch chunking.
Cutover, delta sync, and workflow handoff
We freeze writes in MaxCredible during the cutover window, run a final delta migration of any records created or modified during the migration period, and validate final row counts. We deliver the tone-of-voice template documentation package and the workflow rules inventory so the customer's operations or admin team can rebuild them in Nutshell. We support a three-day post-cutover reconciliation window for the customer to report any record-level issues. We do not rebuild MaxCredible workflows as Nutshell automations inside the migration scope; that is documented for the customer's admin team to handle.
Platform deep dives
MaxCredible
Source
Strengths
Weaknesses
Nutshell
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Nutshell.
Object compatibility
2 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
Pick a category, then your source and destination platforms.
Category
FAQ
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