CRM migration

Migrate from Devi to HighLevel

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

Devi logo

Devi

Source

HighLevel

Destination

HighLevel logo

Compatibility

38%

3 of 8

objects map 1:1 between Devi and HighLevel.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from Devi to GoHighLevel is a discovery-driven migration rather than a schema-matching one. Devi's data model is not publicly documented: we found no API reference, no export endpoint confirmation, and only one verifiable G2 review describing the product as an AI social media lead detection tool. Before any data moves, we run an extended discovery phase where we attempt export via any available API key or CSV download, request schema documentation from the customer, and reverse-engineer the object structure from the exported data. We then map identified records to GoHighLevel Contacts and any required custom objects, configure the pipeline stages to reflect the lead lifecycle tracked in Devi, and preserve AI-generated content assets as files attached to the relevant records. Workflows, automations, and social listening configurations do not migrate as code; we deliver a written inventory of these for your admin to rebuild in GoHighLevel's workflow builder. Timeline and pricing depend heavily on how much discovery work is required and whether Devi's export mechanism is accessible programmatically.

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

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 Devi objects map to HighLevel

Each row shows how a Devi 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.

Devi

Contact / Lead

maps to

HighLevel

Contact or Custom Object

1:1
Fully supported

Devi's data model is unconfirmed. The G2 review references 'high-intent lead detection' as a core feature, suggesting a lead or contact concept exists. We attempt to map identified contacts to GoHighLevel Contacts via standard field matching (name, email, phone). If Devi's schema includes record types without GoHighLevel native equivalents (e.g., social intent scores, platform-specific identifiers), we create a custom object to receive them and link via Contact lookup. The migration mapping is finalized only after discovery export is reviewed.

Devi

Company / Account

maps to

HighLevel

Account

lossy
Fully supported

No evidence of a Companies or Accounts object was found in the research corpus for Devi. If Devi's lead records contain company or organization data (website, company name, industry), we map those to GoHighLevel Account records and create the Account-Contact relationship before Contact insert. If no company-level data exists in Devi, we skip the Account object and link Contacts directly to the pipeline. This decision is made during discovery.

Devi

Pipeline / Stage

maps to

HighLevel

Pipeline + Stage

lossy
Fully supported

If Devi's workflow includes lead stages (new, contacted, qualified, converted), we recreate those as GoHighLevel Opportunity Pipelines and Stages. GoHighLevel supports unlimited pipelines and custom stage names from Starter plan ($97/mo). We configure the pipeline before any Opportunity import to satisfy the Stage lookup constraint.

Devi

Content / Media Asset

maps to

HighLevel

Contact Attachment or Custom Field

1:1
Fully supported

G2 reviewers mention AI-generated visual content as a valued Devi feature. We treat these as files to be downloaded from Devi (if accessible) and uploaded as GoHighLevel attachments linked to the relevant Contact, or as file URLs stored in a custom text field on the Contact object. File storage limits in GoHighLevel are governed by the plan tier and any connected storage integrations.

Devi

Lead Score / Intent Signal

maps to

HighLevel

Custom Number Field or Tag

lossy
Fully supported

Devi's core differentiation is high-intent lead detection from social media. If the exported data includes a numeric intent score, lead quality tier, or social platform signal, we map it to a GoHighLevel custom number field on Contact (e.g., intent_score__c) or use GoHighLevel Tags to segment by signal level. The customer chooses the target field type during scoping.

Devi

User / Team Member

maps to

HighLevel

User

1:1
Fully supported

No user management documentation was found for Devi. We attempt owner assignment by matching Devi's internal user identifiers to GoHighLevel Users by email. Any owner without a matching GoHighLevel User goes to a reconciliation queue for the customer's admin to provision before record import continues. If Devi does not expose user data in exports, this step is deferred.

Devi

Custom Fields

maps to

HighLevel

Custom Fields

lossy
Not supported

Devi's custom field system is unconfirmed. During discovery we document every field in the export that does not map to a standard GoHighLevel Contact or custom object field. These are recreated in GoHighLevel Settings > Custom Fields before import. Note that GoHighLevel enforces a limit of 10 unique fields per custom object per sub-account; we flag this constraint if the Devi schema exceeds it.

Devi

Workflow / Automation

maps to

HighLevel

Workflow (rebuild required)

lossy
Fully supported

We do not migrate automations as code. If Devi's configuration includes social listening triggers, auto-reply sequences, or content publishing rules, we deliver a written inventory of each with its trigger, conditions, and actions mapped to the equivalent GoHighLevel Workflow steps. The customer's admin rebuilds these in GoHighLevel's workflow builder post-migration.

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

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

  • Devi may not have a machine-readable export mechanism

    The research corpus contains zero evidence of a public API, a documented bulk export endpoint, or a data portability feature for devi-official.com or 'Devi AI.' Without programmatic access, we cannot extract data reliably or repeatedly. We request that customers confirm export capabilities directly with Devi support before engaging FlitStack AI. If only manual screen export is available, the migration timeline extends significantly and pricing moves to the upper range to account for manual data compilation.

  • Devi's data model must be reverse-engineered from exports

    No schema document, API reference, or data dictionary was found for Devi in the research corpus. Before we can design a mapping to GoHighLevel, we must review actual export data from the customer's account. This discovery phase is a mandatory first step. We cannot provide a fixed-price scope until we have examined the export structure. If the customer cannot produce an export, we work from any screenshots, spreadsheets, or internal documentation they can provide, but this extends discovery time.

  • GoHighLevel's unique field limit constrains deduplication strategy

    GoHighLevel enforces a maximum of 10 unique fields per custom object per sub-account, across all record creation methods including UI, Workflows, Forms, and APIs. If Devi's schema uses more than 10 fields that the customer wants marked as unique for deduplication, we must prioritize and defer some. Unique field enforcement is irreversible once disabled. We review the field list during scoping and agree on a deduplication key before migration begins.

  • Email deliverability in GoHighLevel requires post-migration configuration

    GoHighLevel's email system runs on Mailgun branded as 'LC Email.' Multiple G2 reviews, Reddit threads, and independent reviews document lower inbox placement rates compared to dedicated email platforms, stemming from shared IP reputation across all GHL users. We do not configure email authentication (SPF, DKIM, DMARC) as part of the migration scope. We recommend the customer's admin warms up a dedicated sending domain and follows GoHighLevel's email best practices after migration, particularly if email is the primary outreach channel.

  • Workflows and automations do not migrate as code

    Devi's automation model (if any) is unconfirmed, and even if it exists, GoHighLevel Workflows use a different trigger-and-action architecture. We do not attempt to migrate automations as executable code. We deliver a written inventory of any identified Devi automations with a GoHighLevel Workflow rebuild recommendation. The customer's admin recreates these in GoHighLevel's workflow builder. If Devi uses social media trigger-based automation, the admin should plan to rebuild those triggers using GoHighLevel's form, tag, or pipeline-change triggers.

Migration approach

Six steps for a successful Devi to HighLevel data migration

  1. Customer-provided export and discovery

    We request that the customer provide a full data export from Devi before migration scoping begins. If Devi has an API, we attempt a read-only connection to enumerate the object list and field schemas. If only CSV export is available, the customer provides it. If no export mechanism exists, we work from screenshots, internal spreadsheets, or database snapshots the customer can compile. The discovery phase output is a written data model document listing every object, field, field type, and sample values found in the export. No migration scope is confirmed until this document is reviewed and signed off.

  2. Schema design and GoHighLevel setup

    We design the GoHighLevel destination schema based on the discovery export. This includes configuring standard Contacts and any required custom objects, recreating custom fields with GoHighLevel field types, setting up Opportunity Pipelines and Stages to reflect Devi's lead lifecycle, and establishing the contact-account relationship. The schema is deployed into a GoHighLevel sub-account (or Sandbox-equivalent if available) for validation before production migration begins.

  3. Mapping design and owner reconciliation

    We design the field-level mapping from Devi's export fields to GoHighLevel fields, resolving any type mismatches (e.g., date formats, picklist values, numeric precision). We extract every distinct owner or assignee from the Devi export and match by email against the destination GoHighLevel account's User table. Any owner without a matching User goes to a reconciliation queue for the customer's admin to provision. Migration cannot proceed past this step because OwnerId references are required on most GoHighLevel standard objects.

  4. Sandbox migration and reconciliation

    If GoHighLevel's sub-account model supports a staging environment, we run a full migration into it using production-like data volume. The customer reconciles record counts, spot-checks 25-50 random records against the Devi source data, and signs off the mapping before production migration begins. Any mapping corrections are applied here. If no staging environment is available, we run the migration in batches with a hold on live data until reconciliation is complete.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Users (manual provisioning confirmed), Accounts (if applicable from Devi's company data), Contacts (with AccountId resolved), any Custom Objects (with Contact lookup resolved), and files or attachments (AI-generated content assets from Devi). Each phase emits a row-count reconciliation report before the next phase begins. We use GoHighLevel's Bulk API where applicable for large record sets, with chunking and retry logic on rate-limit responses.

  6. Cutover, validation, and automation rebuild handoff

    We freeze any active Devi usage that could create delta records during cutover, run a final delta migration of any records modified during the migration window, then confirm GoHighLevel as the system of record. We deliver the automation inventory document to the customer's admin. We support a one-week hypercare window where we resolve any reconciliation issues. Workflow rebuild, email authentication setup, and admin training are outside the standard migration scope and are handled as separate engagements.

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
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?

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 HighLevel.

  • 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 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 Devi to HighLevel data migrations

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

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Timeline depends on whether Devi has a confirmed export mechanism. If an API or CSV export is available, migrations typically land in three to five weeks for accounts under 10,000 records. If we must work from manual exports, screenshots, or customer-compiled spreadsheets with no machine-readable schema, discovery extends to six to eight weeks and the total timeline moves to eight to twelve weeks. The discovery phase is the primary timeline variable.

Adjacent paths

Related migrations to explore

Ready when you are

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