CRM migration

Migrate from Devi to Microsoft Dynamics 365 Sales

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 logo

Devi

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

38%

3 of 8

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

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Devi logo

Devi

What's pushing teams away

  • Devi is a lead-monitoring tool, not a full CRM — teams that adopt it for prospecting still need a real CRM (HubSpot, Pipedrive, Attio) downstream, which limits its standalone life cycle.
  • Coverage is Facebook Groups + LinkedIn + Reddit + X. Teams running heavy ICP work on Slack communities, Discord, or YouTube comments outgrow it quickly.
  • Bundled ChatGPT credits run out fast on teams that use the 1-click outreach feature heavily — Solo's 250 calls cap is reached within a single active campaign.
  • Capterra and aggregator footprint is thin compared to established sales-intelligence tools, making procurement diligence harder at larger orgs.
  • Devi's outreach is comment- and DM-based on third-party platforms, which carries the platform-bans risk inherent to any automation that touches Facebook/LinkedIn/Reddit APIs.

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 Devi objects map to Microsoft Dynamics 365 Sales

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)

maps to

Microsoft Dynamics 365 Sales

Lead or Contact

1:1
Fully supported

Devi'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)

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Devi'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)

maps to

Microsoft Dynamics 365 Sales

Note or SharePoint Document

lossy
Fully supported

Devi'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)

maps to

Microsoft Dynamics 365 Sales

Custom Fields on Lead or Contact

lossy
Fully supported

Devi'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)

maps to

Microsoft Dynamics 365 Sales

User

1:1
Fully supported

No 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

maps to

Microsoft Dynamics 365 Sales

AppExchange or Power Platform connector

lossy
Fully supported

No 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

maps to

Microsoft Dynamics 365 Sales

Microsoft Dynamics 365 Sales Workflow (documented for rebuild)

lossy
Fully supported

No 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)

maps to

Microsoft Dynamics 365 Sales

Custom Fields on relevant entities

lossy
Fully supported

No 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.

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.

Devi logo

Devi gotchas

High

Platform identity is ambiguous in search results

High

No documented export or API access

Medium

Thin review corpus makes due diligence difficult

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

  • No confirmed export mechanism from Devi

    The research corpus contains zero evidence of a public API, a documented bulk export endpoint, or a data portability feature for Devi. This is the primary migration risk: without programmatic access to the source data, we cannot extract records reliably or repeatedly. We request that the customer confirm export capabilities directly with Devi support before engaging FlitStack AI. If Devi cannot provide a CSV export, JSON dump, or API access, we shift scope to advisory: we produce a written schema discovery document and export specification, and the customer executes the extraction independently before returning the data to us for migration.

  • Devi's data model is unconfirmed and requires manual discovery

    The only verifiable product reference is a single G2 review describing Devi as a social media lead detection and AI content generation tool. The research corpus contains no schema documentation, no field list, no object relationship diagram, and no developer reference for devi-official.com. We cannot confirm whether Devi uses Leads, Contacts, Accounts, or some other entity structure without direct access to the customer's instance. Extended discovery is required on every Devi engagement before migration scoping can proceed.

  • Platform identity ambiguity in search results

    The devi-official.com domain did not appear in any of the research rows. The product referenced as 'Devi AI' on G2 and the platform accessible at devi-official.com may not be the same product, may not share an API, and may not have compatible data models. Before any migration scoping, FlitStack AI requires the customer to provide written confirmation of the exact product, version, and data ownership they want to migrate. Ambiguous platform identity is a discovery blocker.

  • Microsoft Microsoft Dynamics 365 Sales data structure differences require mapping design

    Microsoft Dynamics 365 Sales uses a relational Account-Contact-Lead-Opportunity model that may not map directly from Devi's social selling structure. If Devi tracks social signals at the Contact level without an Account hierarchy, we must design an Account creation strategy during migration to satisfy the lookup requirements in Microsoft Dynamics 365 Sales . Skipping this step results in orphaned Contacts with no Account relationship, which breaks Dynamics reporting and the Lead-to-Contact conversion workflow.

  • Microsoft Dynamics 365 Sales validation rules and field security can block imports

    Microsoft Dynamics 365 Sales orgs commonly enforce validation rules (required formats, conditional required fields, picklist whitelists) and field-level security that the migration user must explicitly bypass during data load. We coordinate with the customer's Dynamics admin to configure the migration user with the required permissions (Bulk API access, sufficient field-level visibility) and either temporarily disable blocking validation rules during load or add a migration-context bypass. Skipping this step results in record rejection on the first import attempt.

Migration approach

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Devi logo

Devi

Source

Strengths

  • Focuses on a specific workflow — social media high-intent lead detection — which reduces feature bloat for teams doing outbound social selling
  • Generates visual content with AI, potentially reducing the need for a separate design tool
  • One G2 reviewer describes it as working well for its stated purpose with no significant complaints
  • Small-business positioning suggests a low-friction onboarding experience for teams under 10 users
  • Appears to have a free tier or low-cost entry point based on the positive ROI mentions in reviews

Weaknesses

  • Very limited public documentation — no developer docs, no API reference, no community forum evidence found in the research
  • Market presence is thin: only one verifiable G2 review from a real user, making independent due diligence difficult
  • No confirmed data export or API access, which is a critical risk for any team that needs to move data later
  • It is unclear whether devi-official.com and the 'Devi AI' referenced on G2 are the same product, raising identity risk
  • No information available about data residency, security certifications, or compliance posture
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. 3 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

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

  • Object compatibility

    D

    3 of 8 objects need a manual workaround.

  • 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

    Devi: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Devi 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 Devi to Microsoft Dynamics 365 Sales data migrations

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

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Migrations from Devi require an extended discovery phase before any data moves. If Devi provides a confirmed export mechanism and the schema discovery confirms a straightforward object structure (Leads, Contacts, Accounts), migrations land between three and five weeks. If Devi cannot confirm API or export access, or if the discovered schema reveals complex relationships requiring Account reconstruction, migrations move to six to ten weeks. We build the timeline after schema discovery is complete and cannot commit to a final schedule before we understand what exists in the source platform.

Adjacent paths

Related migrations to explore

Ready when you are

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