CRM migration

Migrate from Amwork to HubSpot

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

Amwork logo

Amwork

Source

HubSpot

Destination

HubSpot logo

Compatibility

90%

9 of 10

objects map 1:1 between Amwork and HubSpot.

Complexity

CModerate

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Amwork structures its CRM around a workspace-builder model with customizable card layouts, deal pipelines, and task-level custom fields. HubSpot uses a property-based model where contacts, companies, and deals each have a flat property list, and lifecycle stage acts as the unified contact-state property across marketing and sales. The migration maps Amwork contacts to HubSpot contacts, Amwork companies to HubSpot companies, and Amwork deals to HubSpot deals with HubSpot pipeline and stage values. Custom fields on Amwork tasks and cards migrate as HubSpot custom properties — either mapped to existing HubSpot fields or created as new custom properties. Automations built in Amwork (including those via Make.com) do not migrate and must be rebuilt using HubSpot workflows or HubSpot's integration ecosystem. FlitStack AI reads Amwork data via its export API and imports into HubSpot via the HubSpot Contacts/Companies/Deals v3 APIs, running field-level validation before committing the full dataset. During the migration, FlitStack AI performs a pre-flight check of field types, validates referential integrity for contact-company and deal-contact associations, and flags any missing HubSpot owners for resolution before ingestion. A delta-pickup window captures new or updated records in Amwork during the cutover period, ensuring the HubSpot instance reflects the latest state without a second full export. The process preserves original timestamps, owner assignments, and custom field values, giving your team a complete and auditable history from day one.

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

Amwork logo

Amwork

What's pushing teams away

  • The import process fails when the uploaded spreadsheet does not match Amwork's expected field structure exactly, causing leads and contacts to drop silently during migration.
  • The sidebar lacks an expanded view mode, forcing users to hover repeatedly to see context, which creates friction during high-volume data entry sessions.
  • Drag-and-drop between deal pipeline stages is not supported — moving a record between stages requires opening a menu and selecting the destination, slowing down pipeline management.
  • Support is directed to WhatsApp rather than a built-in chat widget, which frustrates users expecting in-app ticket-based support for critical issues.

Choosing

HubSpot logo

HubSpot

What's pulling them in

  • Lowest barrier to entry of any major CRM — the free tier with unlimited contacts lets teams validate fit before committing to a paid plan, according to G2 and Capterra reviewers.
  • Native integration between the CRM and sales engagement tools (sequences, email tracking, dialer) means no separate sync configuration, a theme across G2 Sales Hub reviews.
  • Pipeline visualization, deal tracking, and automated workflows are consistently praised as intuitive and easy to set up without developer involvement.
  • Strong onboarding for new team members — reviewers on Capterra and G2 highlight how quickly new reps become productive without formal training.
  • The HubSpot platform ecosystem (Marketing, Sales, Service, CMS hubs) allows growing companies to consolidate tools without building new integrations.

Object mapping

How Amwork objects map to HubSpot

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

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

Amwork

Contact

maps to

HubSpot

Contact

1:1
Fully supported

Amwork contact records map directly to HubSpot contacts. The Amwork contact card fields translate to HubSpot contact properties — standard fields (firstname, lastname, email, phone) map to HubSpot equivalents, and Amwork card-specific fields migrate as HubSpot custom properties. The contact's associated company link in Amwork resolves to the HubSpot Contact-Company association.

Amwork

Company

maps to

HubSpot

Company

1:1
Fully supported

Amwork company records map to HubSpot companies. Company name, domain, industry, employee count, and revenue fields translate to HubSpot company properties. Parent-child company hierarchies in Amwork map to HubSpot's parent company association on the Company record. Additional address fields (city, state, country, zip) map to HubSpot's address properties, and parent-child hierarchies translate to HubSpot's parent_id on the child record, preserving the org structure.

Amwork

Deal

maps to

HubSpot

Deal

1:1
Fully supported

Amwork deal records map to HubSpot deals. The deal name, amount, close date, and owner fields translate directly. Amwork deal stages map to HubSpot deal pipeline stages via value mapping — each Amwork stage name maps to a corresponding HubSpot stage within the target pipeline. Unmapped stage values require HubSpot admin to create matching stage labels in HubSpot before migration.

Amwork

Pipeline

maps to

HubSpot

Deal Pipeline

1:1
Fully supported

Amwork pipelines map to HubSpot deal pipelines. Each Amwork pipeline becomes a named HubSpot pipeline within the HubSpot portal. Pipeline stage order and stage labels translate to HubSpot stage definitions. Probability values are re-applied per stage in HubSpot, as HubSpot allows optional probability percentages per stage.

Amwork

Lead

maps to

HubSpot

Contact (with lifecycle routing)

1:many
Fully supported

Amwork lead records map to HubSpot contacts with lifecycle stage assignment. Since Amwork does not have a native lifecycle stage, leads receive an initial HubSpot lifecycle stage value (typically 'lead') at migration time. If Amwork lead records have a status field, that value maps to the HubSpot lifecyle stage picklist. Any lead records with no Amwork status default to 'lead'.

Amwork

Task / Activity

maps to

HubSpot

Task

1:1
Fully supported

Amwork tasks associated with contacts or deals map to HubSpot tasks. Task subject, body, due date, and completion status translate to HubSpot task properties. The original task owner maps to the HubSpot user by email match. Amwork task properties that are custom fields translate to HubSpot custom properties on the task object.

Amwork

Custom Field (Contact)

maps to

HubSpot

Custom Property (Contact)

1:1
Fully supported

Amwork card-level custom fields on contacts that do not have a HubSpot native equivalent are created as HubSpot custom contact properties. Property type mapping applies — Amwork text fields become HubSpot single-line text properties, Amwork number fields become HubSpot number properties, and Amwork date fields become HubSpot date properties. The property is created in HubSpot before migration and the field mapping references the new property internal name.

Amwork

Custom Field (Deal)

maps to

HubSpot

Custom Property (Deal)

1:1
Fully supported

Amwork task-level custom fields attached to deal cards map to HubSpot deal custom properties. Each Amwork custom field requires a corresponding HubSpot deal property to be pre-created in the HubSpot portal. HubSpot's property naming convention (snake_case or camelCase depending on creation method) must be documented for API-level mapping.

Amwork

Attachment / File

maps to

HubSpot

Files

1:1
Fully supported

Amwork file attachments on contact or deal cards are downloaded and re-uploaded to HubSpot Files. Files are attached to the corresponding HubSpot record by ID. HubSpot's file size limit of 25MB per file applies; files exceeding this limit are flagged for manual handling or chunked upload.

Amwork

Owner / User

maps to

HubSpot

User

1:1
Fully supported

Amwork workspace users are matched to HubSpot portal users by email address. Unmatched Amwork owners are flagged as errors before migration commits. The Amwork owner ID on each record maps to the HubSpot Owner ID (a GUID) after resolution. If a HubSpot user does not exist for an Amwork owner, the record can be assigned to a fallback HubSpot user or left unassigned pending admin review.

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.

Amwork logo

Amwork gotchas

High

Import requires exact CRM field structure match

Medium

Deal stage moves require menu selection, not drag-and-drop

Medium

Time entries attach to tasks, not directly to contacts

HubSpot logo

HubSpot gotchas

High

Marketing Contacts billing model is migration-critical

High

Feature tier gating is not visible until onboarding

Medium

Mandatory onboarding fees inflate year-one cost

Medium

HubSpot CSV importer cannot migrate engagements or attachments

Medium

Custom objects require Enterprise and a pre-existing schema

Pair-specific challenges

  • Amwork lifecycle state is implicit, not explicit — migration requires lifecycle stage assignment

    Amwork does not have a native lifecycle stage field on contact records. Contact state is implicit in the deal card associations and workspace context. HubSpot requires lifecycle stage as an explicit picklist value on every contact. We assign a default HubSpot lifecycle stage (typically 'lead') at migration time based on Amwork lead status or deal association. Teams that relied on Amwork's implicit state model will need to either accept the default mapping or manually assign lifecycle stages post-migration based on deal history. If your team used Amwork's lead status field, we map those values to the closest HubSpot lifecycle stage value via value mapping before import.

  • Amwork custom fields on deal cards require pre-created HubSpot properties

    Amwork allows custom fields at the card level within deal workspaces. These custom fields have no automatic HubSpot equivalent. Before migration runs, your HubSpot admin must create matching custom properties for each Amwork custom field. HubSpot property names use an internal format and must be created in the portal's Property Settings before we can reference them in the field mapping. We deliver a property creation checklist with the migration plan so HubSpot-side setup completes before data lands. Properties left uncreated result in those fields being skipped or stored as generic text.

  • Amwork deal pipelines require matching HubSpot pipeline setup before migration

    Amwork pipelines have fully customizable stage names and orders. HubSpot deal pipelines also use customizable stage names, but each pipeline must be created in HubSpot's Deal Pipeline settings before migration references it. If your Amwork instance has five pipelines with different stage sets, we need five corresponding HubSpot pipelines pre-configured. Stage probability values are set per stage in HubSpot and do not automatically copy from Amwork — these are re-applied based on your target stage probability configuration. We provide a pipeline configuration template in the migration plan to reduce setup time.

  • Automations and Make.com integrations do not migrate — rebuild scope is not visible in Amwork data export

    Amwork automations are stored in the Make.com integration layer or Amwork's native BPMN automation engine. These automation definitions are not exported as part of Amwork's standard data export, so the migration plan cannot see the full automation surface area from the exported data alone. We flag which Amwork records have automation activity history (timestamps, action logs) but the automation logic itself must be documented by your team and rebuilt in HubSpot workflows. Workflow rebuild scope is a manual discovery step — we recommend scheduling an automation audit with your Amwork admin before migration kicks off.

  • Multi-workspace Amwork configurations may require consolidation before mapping

    Amwork's workspace-builder model allows multiple independent workspaces with different card structures and custom field sets. When a single Amwork instance has multiple workspaces, deal and contact records may have workspace-specific custom fields that do not apply to all records. HubSpot does not have a workspace-level schema variant — all contacts in a HubSpot portal share the same property set. We surface workspace-level custom field variance in the migration discovery phase and recommend either consolidating field definitions across workspaces or mapping workspace-specific fields to HubSpot custom properties with conditional visibility rules.

Migration approach

Six steps for a successful Amwork to HubSpot data migration

  1. Export Amwork data and audit workspace schema

    FlitStack AI extracts Amwork data via the Amwork API export endpoint and supplementary CSV export for records not fully covered by the API. We document every object (contacts, companies, deals, tasks), every custom field, and every pipeline stage label across all active Amwork workspaces. The audit identifies workspace-specific custom field variance, automation activity logs, and owner assignment patterns. We deliver an Amwork schema report before any HubSpot-side setup begins.

  2. Design HubSpot property and pipeline configuration

    Based on the Amwork schema audit, your HubSpot admin (or our team) creates the HubSpot custom properties and deal pipelines needed for migration. We provide a property creation checklist with the exact property name, type, and picklist options for each Amwork custom field. Pipeline configuration includes stage names, stage order, and probability values per stage. This step runs in parallel with your existing Amwork operations — no data moves until HubSpot schema is ready.

  3. Map owners and validate contact-company-deal relationships

    Amwork owner IDs are resolved to HubSpot portal users by email match. Unmatched owners are flagged with a resolution report — your team either invites the user to HubSpot first or assigns their records to a fallback owner. We also validate Amwork contact-company associations and deal-contact associations against the migrated data to ensure foreign keys resolve correctly in HubSpot. Any orphaned records (contacts without a company, deals without contacts) are surfaced before migration commits.

  4. Run sample migration with field-level diff

    A representative sample of 100–500 records — spanning contacts, companies, deals, and tasks across multiple Amwork workspaces — migrates to HubSpot in a test pass. We generate a field-level diff comparing source and destination values for every mapped field, including custom properties. You review the diff and confirm lifecycle stage assignment, pipeline mapping, owner resolution, and custom property values before the full run is scheduled.

  5. Execute full migration with delta-pickup window

    The full dataset migrates to HubSpot via the HubSpot Contacts/Companies/Deals v3 APIs. A delta-pickup window of 24–48 hours runs after the initial load to capture any records created or modified in Amwork during the cutover window. FlitStack AI maintains an audit log of every record ingested, updated, or skipped. One-click rollback is available if reconciliation against the Amwork record count reveals discrepancies. Post-migration, your team reconnects HubSpot integrations and schedules workflow rebuild sessions.

Platform deep dives

Context on both ends of the pair

Amwork logo

Amwork

Source

Strengths

  • All-in-one CRM, telephony, and automation under a single subscription
  • Built-in time tracking with Lexoffice accounting integration
  • Customizable sales pipelines and card-based record layouts
  • BPMN automation engine for workflow sequences
  • Workspace builder approach keeps CRM and project tasks in one environment

Weaknesses

  • Import requires exact field matching or records are silently dropped
  • No drag-and-drop for moving deals between pipeline stages
  • No direct time-tracking attachment to contacts or companies
  • Mobile interface is limited compared to desktop feature set
  • Support routed through WhatsApp rather than in-app ticketing
HubSpot logo

HubSpot

Destination

Strengths

  • Genuinely useful free CRM tier with no seat limit on contact records.
  • All-in-one sales engagement layer (sequences, email tracking, calling, dialer) embedded natively in the CRM, eliminating a separate integration.
  • Intuitive interface and fast onboarding for individual reps, per G2 and Capterra reviews.
  • Workflow automation triggers across contacts, deals, and tickets with a visual builder.
  • API coverage for all standard objects including custom objects at Enterprise tier.

Weaknesses

  • Pricing model is contact-based at the marketing layer — importing all records as marketing contacts can multiply the monthly bill by 4×.
  • Feature tier cliffs are frequent surprises: sequences, calling, advanced reporting, and quoting are all gated, often requiring plan upgrades mid-implementation.
  • Mandatory onboarding fees at Professional ($1,500) and Enterprise ($3,500) are not prominently disclosed on the pricing page.
  • API rate limits are restrictive for bulk migration — burst limits of 100-200 req/10sec and search endpoint limits of 4 req/sec require careful job queuing.
  • Custom objects, additional pipelines, and advanced forecasting are Enterprise-only, making cost projections difficult for growing teams.

Complexity grading

How hard is this migration?

Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Amwork and HubSpot.

  • Object compatibility

    C

    4 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

    C

    Amwork: Not publicly documented. We assume typical SaaS tenant limits and tune extraction concurrency against the customer's plan during scoping..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Amwork to HubSpot 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 Amwork to HubSpot data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most Amwork-to-HubSpot migrations complete in 48–72 hours of clock time for under 50,000 records. The longest planning step is designing the HubSpot property and pipeline configuration to match Amwork's custom field and pipeline set. Larger setups with 100,000+ records or multiple Amwork workspaces extend to 7–10 days. Pipeline configuration in HubSpot is the critical path item — custom field creation and owner resolution can run in parallel with active Amwork operations.

Adjacent paths

Related migrations to explore

Ready when you are

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