CRM migration
Field-level mapping, validation, and rollback between ELMA365 and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
ELMA365
Source
Freshsales
Destination
Compatibility
7 of 9
objects map 1:1 between ELMA365 and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from ELMA365 to Freshsales is a platform-type migration: ELMA365 is a process-automation BPM platform with Projects, Tasks, Workflows, and Custom Applications; Freshsales is a sales CRM with Contacts, Accounts, and Deals. We translate ELMA365's BPM constructs into Freshsales' CRM data model, mapping Projects to Deals with custom fields for task hierarchy, Tasks to Freshsales Tasks, and any Custom Applications to Freshsales custom objects. Because ELMA365 stores data in logically isolated multi-tenant workspaces, we extract each tenant separately and consolidate into the destination Freshsales org. We do not migrate RPA robots, BPM workflow definitions, or workflow automation logic. We deliver a written inventory of every automation artifact requiring rebuild in Freshsales Workflows, and we preserve UTF-8 encoding throughout the pipeline so that Cyrillic data from Russian-language ELMA365 instances renders correctly in Freshsales.
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 ELMA365 object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
ELMA365
Contacts
Freshsales
Contact
1:1ELMA365 Contact records map directly to Freshsales Contact. Email address serves as the dedupe key during import. We preserve UTF-8 encoding throughout the pipeline so that Cyrillic names and field values render correctly in Freshsales. Any role or department assignment from ELMA365 maps to a custom Contact field for organizational context.
ELMA365
Users
Freshsales
User
1:1ELMA365 user directory records (users, roles, department assignments) map to Freshsales User records matched by email address. Role semantics differ between platforms — ELMA365's BPM role model maps to Freshsales' team-based permission structure during scoping. Users without a matching Freshsales User go to a reconciliation queue for the customer's admin to provision before record import resumes.
ELMA365
Projects
Freshsales
Deal
1:1ELMA365 Projects map to Freshsales Deal records because Freshsales does not have a native project management object. We preserve project hierarchy by mapping parent-project tasks to custom fields on the Deal (for example, project_phase__c and project_milestone__c). Task assignments and due dates migrate as custom Deal fields or as linked Freshsales Tasks.
ELMA365
Tasks
Freshsales
Task
1:1ELMA365 Tasks map to Freshsales Task records with Status, Priority, and due date preserved. Task assignment migrates by resolving ELMA365 user references to Freshsales User via the User mapping. Tasks attached to ELMA365 Projects carry a reference to the parent Deal so that task context is preserved after migration.
ELMA365
Process Instances
Freshsales
Deal or Custom Object
1:manyELMA365 process instances carry state data from BPM workflows. Running or historical instances map to Freshsales Deals if they represent sales-related processes, or to Freshsales custom objects if they represent non-sales operational processes. We evaluate the instance schema during discovery and apply the split based on the customer's use case. Archived instances may require separate handling depending on the destination's data retention settings.
ELMA365
Custom Applications
Freshsales
Custom Object
1:1Custom Applications built with ELMA365's low-code designer store data in custom-defined tables with no standardized export format. We reverse-engineer each Application schema from ELMA365's configuration export, then pre-create the equivalent Freshsales custom object with matching field types, picklists, and lookup relationships before data import. This is the most complex object to migrate and requires the longest discovery window.
ELMA365
Documents
Freshsales
Note or Attachment
1:1Documents attached to ELMA365 tasks, projects, or process instances are downloaded from the file store and re-uploaded to Freshsales as Notes with attachments or as Files on the parent record (Contact, Account, Deal). We preserve folder hierarchy where ELMA365 exposes it, and file names retain their original UTF-8 encoding.
ELMA365
Workflows (BPM Processes)
Freshsales
Workflow (documentation only)
lossyELMA365 BPM workflow definitions store as JSON/configuration and cannot be exported and re-imported into Freshsales. We export the process definition and document every step name, transition, assignee, and condition as a written specification for the customer's admin to rebuild in Freshsales Workflows. This is a scope conversation, not a technical limitation we can work around.
ELMA365
RPA Robots
Freshsales
None
1:1ELMA365 RPA configurations (robot definitions, attended and unattended modes) are proprietary to ELMA365's RPA engine and do not transfer to other platforms. We flag every RPA artifact during discovery and present three options: rebuild in Freshsales using Freshworks integrations, retain ELMA365 for automation-only use, or accept manual process re-entry.
| ELMA365 | Freshsales | Compatibility | |
|---|---|---|---|
| Contacts | Contact1:1 | Fully supported | |
| Users | User1:1 | Fully supported | |
| Projects | Deal1:1 | Fully supported | |
| Tasks | Task1:1 | Fully supported | |
| Process Instances | Deal or Custom Object1:many | Mapping required | |
| Custom Applications | Custom Object1:1 | Mapping required | |
| Documents | Note or Attachment1:1 | Fully supported | |
| Workflows (BPM Processes) | Workflow (documentation only)lossy | Fully supported | |
| RPA Robots | None1:1 | Not 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.
ELMA365 gotchas
No public API documentation for programmatic extraction
Multi-tenant HUB requires tenant isolation mapping
RPA and workflow automation do not migrate
MS Project XML export loses custom fields and metadata
Russian-language content requires locale handling
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Discovery and API access confirmation
We audit the source ELMA365 instance across tenant count, workspace isolation, user count, Projects, Tasks, Custom Application list and schema complexity, and document attachment volume. We request API access credentials from the customer's ELMA365 administrator and test endpoint availability. If the API is not accessible, we fall back to XML export for Projects and Tasks and document the limitations. The discovery output is a written migration scope with tenant map, object inventory, and a confirmed extraction method (API or XML).
Schema design for Freshsales destination
We design the destination Freshsales schema. This includes provisioning custom objects (with API names matched to ELMA365 Custom Application names), custom fields (with Freshsales field types matched to ELMA365 field types), Deal custom fields for project metadata, and any multi-select picklists for role or department mapping. We configure Lead field mapping for the Lead-to-Contact-Account-Deal conversion path so that custom field data is preserved on conversion. Schema is validated in a Freshsales test org before production migration begins.
Multi-tenant extraction and deduplication
For multi-tenant HUB deployments, we extract each tenant's data separately using the tenant isolation confirmed during discovery. We run a dedupe pass on Contacts using email address as the primary key across all tenants before consolidating into the single Freshsales org. Any cross-tenant shared contacts are flagged for the customer's admin to resolve ownership before final import.
Custom Application schema extraction and object creation
We reverse-engineer each ELMA365 Custom Application schema from the configuration export. For each Application, we create the equivalent Freshsales custom object with matching field types, picklists, and lookup relationships, then export the Application's data rows via ELMA365's API or XML export. We run a field-level reconciliation against the extracted data to confirm all custom fields are represented before importing into the newly created Freshsales custom object.
Production migration in dependency order
We run production migration in record-dependency order: Users first (validated against Freshsales User table by email), then Contacts (with UTF-8 encoding confirmed), then Accounts, then Deals (with project metadata in custom Deal fields), then Tasks (with parent Deal references resolved), then Custom Object records (with their lookup references resolved), then Documents as Notes and Attachments. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation handoff
We freeze ELMA365 writes during cutover and run a final delta migration of any records modified during the migration window. We validate a random sample of migrated records against the ELMA365 source for field accuracy and UTF-8 rendering. We deliver the Automation Inventory document (workflow definitions, RPA artifacts, and integration endpoints) to the customer's admin team. We support a one-week hypercare window for reconciliation issues. We do not rebuild ELMA365 workflows or RPA in Freshsales as part of the migration scope.
Platform deep dives
ELMA365
Source
Strengths
Weaknesses
Freshsales
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 ELMA365 and Freshsales.
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
ELMA365: Not publicly documented.
Data volume sensitivity
ELMA365 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.
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FAQ
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