CRM migration
Field-level mapping, validation, and rollback between Devi and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Devi
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
3 of 8
objects map 1:1 between Devi and Microsoft Dynamics 365 Sales .
Complexity
CModerate
Timeline
3-5 weeks
Overview
Migrating from Devi to Microsoft Microsoft Dynamics 365 Sales is a high-discovery migration. Devi's data model is not publicly documented — no API reference, no community forum, and no confirmed export mechanism surfaced in the research corpus. The platform's stated focus on social media high-intent lead detection and AI content generation suggests a narrow object set (likely Leads or Contacts, with social signal metadata and generated content assets), but the exact schema is unverified. Microsoft Microsoft Dynamics 365 Sales provides a fully documented relational model: Accounts, Contacts, Leads, Opportunities, Products, and Activities. We begin every Devi engagement with a structured schema discovery phase where the customer provides direct access to their Devi instance or export, and we work with Devi support to confirm export capabilities. We do not migrate any workflow, automation, or engagement logic as code; these do not exist in a documented form on Devi and cannot be mapped to Microsoft Dynamics 365 Sales equivalents without manual reconstruction. The migration scope is limited to structured record data (Leads, Accounts, Contacts, Opportunities) and any identified content assets, with all automation and workflow requirements documented for the customer's Dynamics administrator to rebuild 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
Devi platform overview
Scorecard, SWOT, gotchas, and pricing for Devi.
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 Devi 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.
Devi
Lead / Contact (unconfirmed)
Microsoft Dynamics 365 Sales
Lead or Contact
1:1Devi's G2 review mentions high-intent lead detection as the core feature, suggesting a Lead concept exists. Whether Devi uses a single Contact object with a lifecycle stage property or a separate Lead object is unconfirmed. We begin discovery by requesting the customer provide a Devi data export or screen-share walkthrough of the record structure. If Devi uses a single Contact-like object, we apply a split rule during migration: records flagged as unqualified prospects map to Salesforce-style Lead; records tied to an Account or marked as customers map to Contact under an Account. We preserve any intent score, lead source, or social signal metadata as custom fields on the Microsoft Dynamics 365 Sales record.
Devi
Account / Company (unconfirmed)
Microsoft Dynamics 365 Sales
Account
1:1Devi's social selling focus may not include a formal Companies or Accounts object — the platform may track company context as a property on the Lead or Contact rather than a separate entity. We confirm this during discovery. If a Companies entity exists, it maps 1:1 to Microsoft Dynamics 365 Sales Account with the domain or company name as the dedupe key. If no separate Companies entity exists, we extract company context from Lead or Contact records and create Account records during migration to establish the relational model required by Microsoft Dynamics 365 Sales .
Devi
Content Assets / Generated Media (inferred)
Microsoft Dynamics 365 Sales
Note or SharePoint Document
lossyDevi's AI-generated visual content feature implies a content or media asset object exists within the platform. The schema (file types, metadata, storage location) is unconfirmed. During discovery we identify whether assets are stored within Devi or referenced externally, and confirm whether they can be exported as files. If a file export is available, we map assets to Microsoft Dynamics 365 Sales Note records with attachments or to SharePoint Document Library via the native SharePoint integration. If assets cannot be exported programmatically, we document the content inventory for the customer to manually migrate or link post-migration.
Devi
Social Signal / Intent Data (inferred)
Microsoft Dynamics 365 Sales
Custom Fields on Lead or Contact
lossyDevi's high-intent lead detection generates social signals (engagement scores, platform sources, intent flags) that have no native Microsoft Dynamics 365 Sales equivalent. We map these to custom fields on the Lead or Contact object (devi_intent_score__c, devi_social_source__c, devi_first_engagement_date__c) after confirming which Microsoft Dynamics 365 Sales edition the customer is licensing. Custom fields are available from the Professional tier ($65/user/mo) and above. We deploy the custom field schema to a Sandbox org before production migration.
Devi
User (unconfirmed)
Microsoft Dynamics 365 Sales
User
1:1No user management documentation surfaced for Devi. Seat counts, roles, and admin capabilities are unverified. During discovery we request a list of active Devi users from the customer. If a user list is available, we match by email against the destination Microsoft Dynamics 365 Sales org's User table. Any Devi user without a matching Dynamics 365 User goes to a reconciliation queue for the customer's admin to provision before record import resumes.
Devi
No documented integrations found
Microsoft Dynamics 365 Sales
AppExchange or Power Platform connector
lossyNo integrations with third-party platforms were documented for Devi. We do not migrate integration logic because none was found. We document any Devi integration the customer identifies during discovery and provide a written recommendation for equivalent Microsoft Dynamics 365 Sales integration via AppExchange, Power Automate, or native Microsoft 365 connectors.
Devi
No documented workflow or automation system
Microsoft Dynamics 365 Sales
Microsoft Dynamics 365 Sales Workflow (documented for rebuild)
lossyNo workflow, automation, or sequence system was documented for Devi. We do not migrate automation logic because no such system was found in the research corpus. We work with the customer during discovery to identify any informal automation they have built within Devi (filters, rules, alerts) and document them for manual reconstruction in Microsoft Dynamics 365 Sales Flow by the customer's administrator post-migration.
Devi
Custom Fields (unconfirmed)
Microsoft Dynamics 365 Sales
Custom Fields on relevant entities
lossyNo evidence of a custom field system was found for Devi. During discovery we request the customer provide a full field inventory from their Devi instance or confirm that no custom fields are in use. Any custom fields identified migrate to equivalent custom fields on the corresponding Microsoft Dynamics 365 Sales entity, with API names matching the Devi field names where characters allow and a __c suffix per Microsoft Dynamics 365 Sales convention.
| Devi | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Lead / Contact (unconfirmed) | Lead or Contact1:1 | Fully supported | |
| Account / Company (unconfirmed) | Account1:1 | Fully supported | |
| Content Assets / Generated Media (inferred) | Note or SharePoint Documentlossy | Fully supported | |
| Social Signal / Intent Data (inferred) | Custom Fields on Lead or Contactlossy | Fully supported | |
| User (unconfirmed) | User1:1 | Fully supported | |
| No documented integrations found | AppExchange or Power Platform connectorlossy | Fully supported | |
| No documented workflow or automation system | Microsoft Dynamics 365 Sales Workflow (documented for rebuild)lossy | Fully supported | |
| Custom Fields (unconfirmed) | Custom Fields on relevant entitieslossy | 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.
Devi gotchas
Platform identity is ambiguous in search results
No documented export or API access
Thin review corpus makes due diligence difficult
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
Platform identity and export confirmation
We begin with a structured confirmation phase: the customer provides written evidence that devi-official.com and the product they want to migrate are the same platform, that they have data ownership rights, and that a data export mechanism exists (API access, CSV export, or direct database access). If Devi support confirms an export capability, we request a sample export to validate schema before committing to migration scoping. If no export capability exists, we pivot to advisory scope.
Extended schema discovery
We run an extended discovery phase unique to Devi migrations. The customer provides direct access to their Devi instance (screen-share walkthrough of record types, fields, and relationships) and any internal documentation they have about the platform. We compile a written schema discovery document listing every entity, field, and data type found, with an uncertainty rating per object based on whether we could verify it programmatically. This document is the foundation for the migration scope and the Microsoft Dynamics 365 Sales schema design.
Microsoft Dynamics 365 Sales edition and schema design
We pair schema discovery output with a Microsoft Dynamics 365 Sales edition recommendation. Professional ($65/user/mo) covers most migrations and enables custom fields. Enterprise ($105/user/mo) is required if the customer needs record-triggered Flow, advanced reporting types, or multiple Sales Processes. We design the destination schema in a Sandbox org: custom fields (with devi_ prefix to indicate provenance), Account-Contact relationship rules, Lead status values, and any Opportunity structure if the customer manages deal pipelines in Devi. The customer signs off the Sandbox schema before production migration begins.
Data extraction and quality assessment
We extract data from Devi using the confirmed export mechanism. If Devi provides an API, we use it with rate-limit handling and chunking. If Devi provides a CSV export, we parse and validate field coverage against the schema discovery document. We flag records with missing required fields (AccountId, OwnerId) and return a data quality report to the customer for correction. Any social signal or intent data identified in discovery migrates to custom fields on the Lead or Contact record.
Production migration in dependency order
We run production migration into the live Microsoft Dynamics 365 Sales org in record-dependency order: Users (manual provisioning validated), Accounts (created from Devi's company context), Contacts (with AccountId resolved), Leads (with intent score and social source preserved in custom fields), Opportunities (if applicable). Content assets migrate to SharePoint via the native integration or as Note attachments. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation handoff
We freeze Devi access during cutover and run a final delta migration of records modified during the migration window. We validate record counts, spot-check 20-30 records against the Devi source, and enable Microsoft Dynamics 365 Sales as the system of record. We deliver the schema discovery document, export specification, and a written inventory of any automation identified during discovery for the customer's Dynamics administrator to rebuild in Salesforce Flow. We do not rebuild automation inside the migration scope.
Platform deep dives
Devi
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 3 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Devi and Microsoft Dynamics 365 Sales .
Object compatibility
3 of 8 objects need a manual workaround.
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
Devi: Not publicly documented.
Data volume sensitivity
Devi 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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