CRM migration
Field-level mapping, validation, and rollback between Devi and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Devi
Source
monday CRM
Destination
Compatibility
5 of 8
objects map 1:1 between Devi and monday CRM.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Devi presents a high-risk migration scenario on the source side: the research corpus contains no published API documentation, no confirmed data export mechanism, no verified schema, and only one attributable G2 review describing a narrow social media lead detection tool. Monday.com CRM, by contrast, is a well-documented board-based platform with a confirmed REST API, CSV import capability, and a structured set of CRM entities. The migration is constrained by what we can extract from Devi, not what Monday.com can receive. We begin every engagement by requiring the customer to confirm export capabilities directly with Devi support, or by attempting a direct data access audit using any available authentication tokens or admin export panels. Any identified lead records map to Monday.com People, any identified content assets map to Monday.com file attachments on items, and any organizational context maps to Monday.com Organizations. Automations, social media integrations, and AI-generated content features from Devi do not migrate; we document their functional equivalents in Monday.com 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.
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 monday CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Devi
Lead (inferred)
monday CRM
Person
1:1Devi's core object appears to be a lead record tied to social media detection (high-intent signal, source platform, timestamp). We map these inferred lead records to Monday.com People. Name, email, phone, and social media handle fields map to Monday.com Person column types. Any lead score or intent rating field migrates as a Number or Formula column on the person's board. We require the customer to provide a schema document or a sample export from Devi before finalizing the field mapping because the source object is unconfirmed.
Devi
Lead Source (inferred)
monday CRM
Organization
1:1Social media handles and company names extracted from Devi's lead detection context map to Monday.com Organizations. If a lead was associated with a company domain or brand page, that context migrates as a Monday.com Organization record linked to the Person via the CRM relationship model. Monday.com Organizations support Industry, Location, and Size columns for segmentation.
Devi
Content Asset (inferred)
monday CRM
File attachment on Item
1:1Devi's AI-generated visual content maps to Monday.com file attachments on the relevant Person or Organization item. Monday.com supports file uploads up to the storage limit of the plan (250 MB per file on Pro, 5 GB per file on Enterprise). We migrate file URLs or download tokens if accessible; if Devi's content is stored in an external media library, we document the external link and recommend the customer replicate the content library in Monday.com's file management.
Devi
User
monday CRM
User
1:1Monday.com User records are provisioned by the customer at monday.com/settings/users. We extract owner or assignee references from Devi's lead records and map them to Monday.com User accounts by email match. Any Devi user without a matching Monday.com User is flagged in the reconciliation report for the customer to provision before record import resumes.
Devi
Pipeline (inferred)
monday CRM
Board with Status column
lossyIf Devi supports any stage or status concept for leads (e.g., New, Contacted, Qualified, Converted), we replicate this as a Monday.com Board with a Status column. Monday.com's Status column supports custom labels, colors, and per-status automation triggers. We configure the status values based on the inferred lead lifecycle from Devi's feature description and the customer's confirmation of their actual workflow stages.
Devi
Tag / Label (inferred)
monday CRM
Tag
lossyDevi's high-intent lead detection likely generates tags or labels (e.g., #linkedin, #decision_maker, #hot). These map to Monday.com Tags on the relevant Person or Organization item. Monday.com Tags are created at the workspace level and applied across boards, which mirrors a label taxonomy used by social selling tools.
Devi
Activity (inferred)
monday CRM
Update / Activity log
1:1Any engagement history recorded in Devi (email reply, comment, meeting booked) maps to Monday.com Updates on the relevant item. Monday.com Updates support rich text, mentions, and file attachments. We do not migrate Devi's engagement history if no structured activity object is confirmed during discovery; we flag this gap and recommend the customer log a summary of key interactions as manual Updates post-migration.
Devi
Custom Field (unconfirmed)
monday CRM
Custom Column
lossyIf Devi supports custom fields (which is unconfirmed), we map each field to the closest Monday.com column type: text to Text, numeric scores to Number, dates to Date, yes/no to Checkbox. Monday.com supports 30+ column types via the board builder and additional types (World Clock, Rating, Location, Phone, Email, Currency) via the column type menu. We cannot confirm custom field structure without a sample export from Devi.
| Devi | monday CRM | Compatibility | |
|---|---|---|---|
| Lead (inferred) | Person1:1 | Fully supported | |
| Lead Source (inferred) | Organization1:1 | Fully supported | |
| Content Asset (inferred) | File attachment on Item1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Pipeline (inferred) | Board with Status columnlossy | Fully supported | |
| Tag / Label (inferred) | Taglossy | Fully supported | |
| Activity (inferred) | Update / Activity log1:1 | Fully supported | |
| Custom Field (unconfirmed) | Custom Columnlossy | 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
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Export confirmation and data access audit
We begin by requiring the customer to confirm data export capabilities with Devi support or to provide a manual export file (CSV, JSON, or database backup). If Devi provides a data access panel, admin export function, or API endpoint, we document it and attempt a read connection. If no export method exists, we communicate this as a hard blocker and advise the customer to request export access from Devi before proceeding. This step determines whether the migration can proceed as an automated extraction or requires manual file delivery from the customer.
Discovery and schema reconstruction
We run an extended discovery phase because Devi's data model is unconfirmed. We request any internal documentation the customer has about Devi's data structure, including any screenshots of the admin panel, a sample export file, or a description of which fields the team uses daily. We reconstruct an inferred schema from the Devi G2 review description and the customer's confirmation. The discovery output is a written mapping document that the customer reviews and approves before we begin building the Monday.com destination schema.
Monday.com CRM board and entity setup
We create the Monday.com CRM boards and configure the entity structure based on the approved mapping. This includes creating a People board (with Name, Email, Phone, Social Handle, Lead Score, Source columns), an Organizations board if organizational data exists, a Deals board with the relevant pipeline stages, and a Tags taxonomy. We configure Status columns, custom columns, and any formula or dependency columns required by the mapping. Board setup runs in a Monday.com test workspace first for the customer to validate.
Data import in Monday.com-native format
We import data into Monday.com using the platform's CSV import for People, Organizations, and Deals, or via the Monday.com API for more complex record types. We apply the field mapping defined in the discovery phase, resolve any owner references to Monday.com User accounts by email, and set Status values to match the inferred lead lifecycle from Devi. Each import phase emits a row-count reconciliation report so the customer can verify record counts before proceeding.
Content asset migration and external reference documentation
Any AI-generated visual content or media files from Devi are migrated as file attachments on the relevant Monday.com item where possible. If files are stored in an external media library that we cannot access programmatically, we document the file URLs and media sources in a written reference sheet so the customer can relink or re-upload assets in Monday.com post-migration. Monday.com's file storage limits (250 MB per file on Pro) apply; we flag any file that exceeds this limit for the customer to handle manually.
Cutover, validation, and automation rebuild handoff
We freeze data entry in Devi during the cutover window, run a final delta import of any records modified during migration, and enable Monday.com as the system of record. We deliver a written automation inventory documenting what Devi's inferred triggers were and a recommended Monday.com automation builder equivalent for each. We do not rebuild Monday.com automations inside the migration scope; that work is handled by the customer's admin or a Monday.com implementation partner. We support a five-day hypercare window for reconciliation issues raised during the first week of live use.
Platform deep dives
Devi
Source
Strengths
Weaknesses
monday CRM
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 monday CRM.
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
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Devi to monday CRM migration scoping. Not seeing yours? Book a call.
Walk through your Devi to monday CRM migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Devi
Other ways to arrive at monday CRM
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.