CRM migration
Field-level mapping, validation, and rollback between Amwork and HubSpot. We move data and schema; workflows are rebuilt natively in HubSpot.
Amwork
Source
HubSpot
Destination
Compatibility
9 of 10
objects map 1:1 between Amwork and HubSpot.
Complexity
CModerate
Timeline
48–72 hours
Overview
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.
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 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
HubSpot
Contact
1:1Amwork 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
HubSpot
Company
1:1Amwork 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
HubSpot
Deal
1:1Amwork 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
HubSpot
Deal Pipeline
1:1Amwork 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
HubSpot
Contact (with lifecycle routing)
1:manyAmwork 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
HubSpot
Task
1:1Amwork 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)
HubSpot
Custom Property (Contact)
1:1Amwork 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)
HubSpot
Custom Property (Deal)
1:1Amwork 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
HubSpot
Files
1:1Amwork 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
HubSpot
User
1:1Amwork 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.
| Amwork | HubSpot | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Deal Pipeline1:1 | Fully supported | |
| Lead | Contact (with lifecycle routing)1:many | Fully supported | |
| Task / Activity | Task1:1 | Fully supported | |
| Custom Field (Contact) | Custom Property (Contact)1:1 | Fully supported | |
| Custom Field (Deal) | Custom Property (Deal)1:1 | Fully supported | |
| Attachment / File | Files1:1 | Fully supported | |
| Owner / User | User1:1 | 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.
Amwork gotchas
Import requires exact CRM field structure match
Deal stage moves require menu selection, not drag-and-drop
Time entries attach to tasks, not directly to contacts
HubSpot gotchas
Marketing Contacts billing model is migration-critical
Feature tier gating is not visible until onboarding
Mandatory onboarding fees inflate year-one cost
HubSpot CSV importer cannot migrate engagements or attachments
Custom objects require Enterprise and a pre-existing schema
Pair-specific challenges
Migration approach
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.
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.
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.
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.
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
Amwork
Source
Strengths
Weaknesses
HubSpot
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Amwork and HubSpot.
Object compatibility
4 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
Amwork: Not publicly documented. We assume typical SaaS tenant limits and tune extraction concurrency against the customer's plan during scoping..
Data volume sensitivity
Amwork 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 Amwork to HubSpot migration scoping. Not seeing yours? Book a call.
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