CRM migration

Migrate from ELMA365 to HighLevel

Field-level mapping, validation, and rollback between ELMA365 and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.

ELMA365 logo

ELMA365

Source

HighLevel

Destination

HighLevel logo

Compatibility

75%

6 of 8

objects map 1:1 between ELMA365 and HighLevel.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

ELMA365 is a low-code BPM platform where the primary data construct is the Project or Process Instance, not the Contact. GoHighLevel is a marketing-and-sales CRM built around Contacts, Opportunities, and Pipelines. These are structurally different platforms, and the migration is less a field-by-field translation than a schema redesign that preserves what ELMA365 stores as Projects, Tasks, and custom Application records inside GoHighLevel's CRM objects and custom fields. We extract via ELMA365's API using credentials the customer provides, map Projects to GoHighLevel Opportunities or custom objects depending on their use case, and migrate Task records as GoHighLevel Tasks with the appropriate Opportunity or Contact link. Custom Applications built in ELMA365's low-code designer require schema reverse-engineering before we can map them to GoHighLevel custom objects. BPM workflow definitions, RPA robots, and Reports do not migrate; we deliver a written inventory of these artifacts for the customer's admin to rebuild in GoHighLevel.

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

ELMA365 logo

ELMA365

What's pushing teams away

  • Pricing is perceived as high relative to scope — organizations using ELMA365 for narrow use cases report that the total cost exceeds the value delivered.
  • Documentation and community resources are limited in English, making self-service troubleshooting difficult for international teams.
  • The low-code platform requires configuration effort that some teams underestimate, leading to longer implementation timelines than anticipated.
  • Switching costs are significant when migrating custom Applications and BPM workflows to alternative platforms due to proprietary configuration formats.

Choosing

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How ELMA365 objects map to HighLevel

Each row shows how a ELMA365 object lands in HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

ELMA365

Project

maps to

HighLevel

Opportunity or Custom Object

lossy
Fully supported

ELMA365 Projects are the primary record container in a BPM context. Depending on whether the Project represents a sales deal, a service engagement, or an internal process, we map it to GoHighLevel Opportunity (for deal-oriented work) or a GoHighLevel custom object (for project-tracking use cases). The mapping decision is made during discovery based on the customer's usage pattern. Project hierarchy and parent-child relationships map to GoHighLevel Opportunity lookups or a custom parent_id field on the custom object.

ELMA365

Task

maps to

HighLevel

Task

1:1
Fully supported

ELMA365 Tasks with standard fields (title, description, due date, assignee, status) map directly to GoHighLevel Tasks. We preserve the due date as Task Due Date, assignee by resolving the ELMA365 user to a GoHighLevel team member by email, and status by mapping ELMA365 task states to GoHighLevel Task status values. Tasks attached to a Project map to the corresponding Opportunity or custom object via WhatId.

ELMA365

Custom Application

maps to

HighLevel

Custom Object + Custom Fields

1:1
Fully supported

Custom Applications built in ELMA365's low-code designer store data in custom-defined tables with no standard export format. We reverse-engineer the schema from ELMA365's configuration export, create equivalent GoHighLevel custom objects and fields during migration setup, and import the data with field-by-field type mapping. This is the most time-intensive part of an ELMA365 migration and drives the gap between simple and complex migration timelines.

ELMA365

User

maps to

HighLevel

User

1:1
Fully supported

ELMA365 Users and their department and role assignments export from the directory. Role semantics differ across platforms — ELMA365 role definitions map to GoHighLevel team role assignments during scoping. Users without a matching GoHighLevel account enter a reconciliation queue for the admin to provision before record import resumes.

ELMA365

Document

maps to

HighLevel

Document

1:1
Fully supported

Documents attached to Projects, Tasks, or Process Instances download from ELMA365's file store and re-upload to GoHighLevel's document storage linked to the corresponding Contact, Opportunity, or custom object record. Folder hierarchy is preserved where ELMA365 exposes it; otherwise documents land in a flat structure for manual reorganization.

ELMA365

Process Instance

maps to

HighLevel

Custom Object or Opportunity Notes

1:1
Fully supported

Running or historical Process Instances carry state data from BPM workflow execution. We extract instance fields and current step status and map them to a GoHighLevel custom object or as a Note on the related Opportunity, depending on whether the instance represents a deal milestone or an operational process record. Archived instances require separate handling based on the destination's data retention approach.

ELMA365

BPM Workflow (BPMN Process)

maps to

HighLevel

Workflows (documented for rebuild)

lossy
Fully supported

ELMA365 BPMN workflow definitions store as JSON within the platform and cannot be exported and re-imported into GoHighLevel's automation model. We export the process definition and document every step name, transition, assignee pattern, and condition in a written Workflow Inventory that the customer's admin uses to rebuild equivalent GoHighLevel Workflows. This is a scope disclosure, not a technical limitation we work around.

ELMA365

RPA Robot

maps to

HighLevel

Not migrated

1:1
Fully supported

ELMA365 RPA robot configurations are proprietary to ELMA365's RPA engine and do not transfer to any external platform. We flag every RPA artifact during the discovery phase and present three options: rebuild in GoHighLevel using its native automation capabilities, retain ELMA365 as an automation-only layer, or accept manual process re-entry. The customer chooses before migration scope is finalized.

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.

ELMA365 logo

ELMA365 gotchas

High

No public API documentation for programmatic extraction

High

Multi-tenant HUB requires tenant isolation mapping

Medium

RPA and workflow automation do not migrate

Medium

MS Project XML export loses custom fields and metadata

Low

Russian-language content requires locale handling

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • ELMA365 API access requires direct vendor coordination

    ELMA365 does not expose a public developer portal or API documentation in English. During migration scoping, we must request API access credentials from the customer's ELMA365 administrator and test endpoint availability before committing to a timeline. If the API is gated by subscription tier, requires a support ticket to enable, or uses a non-standard authentication method, this adds one to two weeks of lead time before data extraction begins. We validate API connectivity early in the discovery phase to avoid surprises during migration.

  • Multi-tenant HUB requires tenant isolation during extraction

    Organizations using ELMA365 HUB for multi-subsidiary deployments store data in logically isolated workspaces under a parent HUB. We extract each tenant's data separately and ensure cross-tenant references — such as shared contacts, process templates, or parent-project assignments — are resolved correctly during the GoHighLevel import. Failure to isolate tenants during extraction risks data leakage or incorrect record ownership in GoHighLevel sub-accounts, which are the destination equivalent of isolated workspaces.

  • Custom Application schemas lack a standardized export format

    Custom Applications built in ELMA365's low-code designer store data in tables defined within the platform's configuration, not in a machine-readable schema file. We must reverse-engineer each custom Application's schema from ELMA365's configuration export before designing the equivalent GoHighLevel custom object. This adds a schema-analysis phase to the migration timeline that does not apply to standard-object migrations. We flag each custom Application during discovery and estimate the reverse-engineering effort before finalizing the schedule.

  • BPM workflows and RPA logic do not migrate

    ELMA365's BPM workflow definitions and RPA robot configurations use proprietary automation logic that cannot be exported and re-imported into GoHighLevel. We export the process definition and document every step for manual rebuild, but the automation logic itself is out of scope. Organizations relying heavily on ELMA365's workflow engine should plan for a GoHighLevel Workflow rebuild phase after migration, which typically takes two to four weeks depending on complexity.

  • Cyrillic data requires locale validation in GoHighLevel

    ELMA365 is widely used in Russian-speaking markets, and many customer instances contain Cyrillic field values, file names, and document metadata. We preserve UTF-8 encoding throughout the migration pipeline. However, GoHighLevel's locale and character rendering should be validated for Cyrillic content during the sandbox migration phase, particularly for custom field labels, opportunity names, and uploaded document file names, to ensure no encoding issues reach production data.

Migration approach

Six steps for a successful ELMA365 to HighLevel data migration

  1. Discovery and API validation

    We audit the ELMA365 instance across tenant structure (HUB or standalone), Project and Task volume, custom Application count and schema complexity, document store size, active workflow definitions, and RPA configuration. We also validate API connectivity using credentials provided by the customer's ELMA365 administrator, test endpoint response structure, and confirm any tier-gating or authentication requirements. The discovery output is a written migration scope that identifies which ELMA365 objects map directly, which require schema reverse-engineering, and which do not migrate.

  2. Schema design for GoHighLevel destination

    We design the destination GoHighLevel schema based on the discovery findings. For each standard ELMA365 object we map (Projects, Tasks, Users), we configure the equivalent GoHighLevel object. For each custom Application, we reverse-engineer the ELMA365 schema and create the corresponding GoHighLevel custom object with typed fields before any data import. We configure Opportunity Pipelines to reflect the deal stages used in ELMA365 Projects, and we set up GoHighLevel sub-accounts if the customer uses a multi-tenant HUB on the source side and wants isolated workspaces in GoHighLevel.

  3. Sandbox migration and reconciliation

    We run a full migration into a GoHighLevel sandbox environment using production-like data volume. The customer reconciles record counts, spot-checks field mappings, and validates that custom Application data landed in the correct GoHighLevel custom objects. Any schema corrections or field mapping adjustments happen in sandbox before production migration begins. This phase also validates Cyrillic character rendering and sub-account isolation for multi-tenant HUB customers.

  4. Owner and user reconciliation

    We extract every distinct ELMA365 user referenced on Projects, Tasks, Process Instances, and Documents and match by email against the GoHighLevel destination's team member list. Any ELMA365 user without a matching GoHighLevel account enters a reconciliation queue for the admin to provision. This step gates the production migration because OwnerId references must be valid on most GoHighLevel object imports.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Users (validated by admin), custom object schemas deployed first, then Projects (mapped to Opportunities or custom objects), Tasks (with WhatId resolved to the parent record), Process Instances (as notes or custom object records), and Documents (linked to the correct parent). Each phase emits a row-count reconciliation report. Custom Application data migrates last because it often has lookups to standard objects that must already exist.

  6. Cutover, validation, and Workflow rebuild handoff

    We freeze ELMA365 writes during the cutover window, run a final delta migration of any records modified during the window, then switch the system of record to GoHighLevel. We deliver the Workflow and RPA Inventory document to the customer's admin team, outlining each ELMA365 automation artifact and the recommended GoHighLevel Workflow equivalent. We support a one-week hypercare window for reconciliation issues. We do not rebuild ELMA365 automations as GoHighLevel Workflows inside the migration scope; that is a separate engagement.

Platform deep dives

Context on both ends of the pair

ELMA365 logo

ELMA365

Source

Strengths

  • Built-in RPA capabilities automate routine data entry tasks without custom code.
  • Multi-tenant HUB architecture supports large organizations with centralized management and isolated subsidiary workspaces.
  • Project plan export to MS Project XML provides compatibility with widely-used project management tools.
  • On-premise deployment option appeals to government and regulated industries with strict data residency requirements.
  • Low-code BPM designer enables citizen developers to build process applications without deep programming expertise.

Weaknesses

  • English-language documentation and community support are limited compared to global competitors.
  • Pricing transparency is low — no public tier structure, requiring direct vendor contact to obtain quotes.
  • API documentation is not publicly prominent, making programmatic data extraction harder to validate before a migration engagement.
  • Custom Application schemas are defined within ELMA365's designer and lack a standardized export format, requiring custom schema extraction.
  • RPA robots and workflow automation logic are not portable to non-ELMA365 platforms.
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across ELMA365 and HighLevel.

  • Object compatibility

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • 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

    ELMA365: Not publicly documented.

  • Data volume sensitivity

    B

    ELMA365 doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your ELMA365 to HighLevel 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 ELMA365 to HighLevel data migrations

Answers to the questions buyers ask most during ELMA365 to HighLevel migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most ELMA365 migrations land between two and four weeks for accounts with under 10,000 Projects, 5,000 Tasks, and no custom Applications. Migrations with multiple custom Applications, multi-tenant HUB configurations requiring separate tenant extraction, or large document stores push to six to ten weeks because of custom schema reverse-engineering, multi-tenant isolation, and document migration overhead.

Adjacent paths

Related migrations to explore

Ready when you are

Move from ELMA365.
Land in HighLevel, intact.

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