CRM migration

Migrate from Amwork to Odoo CRM

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

Amwork logo

Amwork

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

71%

10 of 14

objects map 1:1 between Amwork and Odoo CRM.

Complexity

CModerate

Timeline

4-7 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Amwork to Odoo CRM is a structural migration across two different data architectures. Amwork organizes CRM records inside a workspace-builder model where Projects contain Tasks, and time entries log against tasks rather than contacts or companies. Odoo CRM uses a modular ERP approach where Leads convert to Opportunities and Contacts attach to Companies (Accounts) with separate pipeline Kanban views. We map Amwork's Deals-in-pipelines model to Odoo's crm.lead and crm.lead2opportunity partner wizard, resolve the workspace-to-module mapping, create Odoo custom fields to absorb Amwork custom field values, and preserve time entries as Odoo timesheet records linked to the associated project. Amwork automation rules, BPMN workflows, and telephony configurations do not migrate; we deliver a written inventory for the customer's Odoo admin to rebuild using Odoo Studio or a certified partner. The migration runs through Odoo's XML-RPC API with batch chunking, parent-record lookup resolution, and validation-rule bypass coordination with the customer's admin.

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

Odoo CRM logo

Odoo CRM

What's pulling them in

  • Teams choose Odoo CRM for its modular architecture — one base install with one-click app additions means they can adopt CRM alone and add accounting, inventory, or sales later as the business grows.
  • Small businesses pick Odoo because the Community edition is free and open-source, with no per-user or contact limits, allowing full evaluation before committing to a paid Enterprise tier.
  • The drag-and-drop Kanban pipeline and AI lead scoring are highlighted across G2 reviews as concrete features that make lead management faster and more visual than spreadsheet-based workflows.
  • Odoo's native integration with email, live chat, SMS, VoIP, and WhatsApp means inbound leads from multiple channels feed into a single pipeline without third-party middleware.
  • Companies in retail, supply chain, and construction value that Odoo's CRM module shares the same PostgreSQL database and UI as its ERP modules, eliminating data silos between sales and operations.

Object mapping

How Amwork objects map to Odoo CRM

Each row shows how a Amwork object lands in Odoo CRM, 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

Odoo CRM

Contact (res.partner)

1:1
Fully supported

Amwork Contacts map to Odoo res.partner records with partner_type set to 'contact'. We map Amwork's contact name, email, phone, address, and lifecycle stage fields to Odoo's standard res.partner fields, with lifecycle stage preserved as a custom Char or Selection field on the partner record. Owner assignment from Amwork maps to Odoo User via email match. If Amwork contacts are linked to a company, we resolve the Amwork Company record to an Odoo res.partner with partner_type 'company' and set the contact's commercial_partner_id to the company partner.

Amwork

Company

maps to

Odoo CRM

Company (res.partner with partner_type = 'company')

1:1
Fully supported

Amwork Companies map to Odoo res.partner records with partner_type = 'company'. We map company name, domain, industry, and address fields. The company domain from Amwork becomes the Website field on the Odoo partner record. Company records are created before any linked Contacts to satisfy the commercial_partner_id lookup at Contact insert time. Multi-workspace Amwork accounts may map to multiple Odoo company records under separate Odoo company records in a multi-company Odoo configuration.

Amwork

Deal

maps to

Odoo CRM

Opportunity (crm.lead)

1:1
Fully supported

Amwork Deals map to Odoo crm.lead records. The Amwork deal stage name maps to an Odoo Stage value within the CRM pipeline Kanban. We pre-create Odoo CRM stages matching Amwork stage names before import so that deal values and stage assignments land cleanly. Deal amount, close date, probability, and owner assignment migrate to crm.lead fields: planned_revenue, date_deadline, probability, and user_id respectively. Amwork Deals that are not yet qualified map as crm.lead records awaiting conversion; Deals that represent active opportunities map as Opportunities in Odoo's pipeline view.

Amwork

Lead

maps to

Odoo CRM

Lead (crm.lead with type = 'lead')

1:1
Fully supported

Amwork Leads in the separate Leads section map to Odoo crm.lead records with type = 'lead'. Amwork lead status maps to Odoo Stage within the Leads Kanban. We preserve the Amwork lead score as a custom Float field on the Odoo crm.lead. Leads that should convert to Opportunities during migration are flagged in the scoping phase; Odoo's crm_lead2opportunity_partner wizard is used post-migration for leads that convert after cutover.

Amwork

Pipeline (Sales Pipeline)

maps to

Odoo CRM

CRM Team + Pipeline Kanban

lossy
Fully supported

Amwork Sales Pipelines with customizable stages map to Odoo CRM Teams. Each Amwork pipeline becomes a separate Odoo CRM Team with its own stage sequence. We configure the stage names and probabilities in Odoo CRM's pipeline settings before importing deals, ensuring that deal stage assignments match the Odoo stage ID rather than a stage name string. This prevents orphaned stage assignments if Odoo's stage names change post-migration.

Amwork

Project

maps to

Odoo CRM

Project (project.project)

1:1
Fully supported

Amwork Projects map to Odoo project.project records. We map project name, description, status, and dates. Project member assignments from Amwork map to Odoo project.member records linked to the corresponding Odoo User. Project templates in Amwork map to Odoo project templates if the Odoo Project app is installed. If Odoo Project is not present in the destination instance, we flag the requirement to the customer during scoping and deliver project records as tagged crm.lead notes.

Amwork

Task

maps to

Odoo CRM

Task (project.task)

1:1
Fully supported

Amwork Tasks inside Projects map to Odoo project.task records. We map task name, description, assignee, due date, priority, and checklist sub-items (as Odoo subtasks or embedded checklists). Parent-child task hierarchy is preserved via Odoo's parent_id field on project.task. Task-stage mapping (e.g., To Do, In Progress, Done) is created as Odoo project stage values. Tasks linked to a deal or contact in Amwork are cross-referenced in Odoo using a custom Many2one field to crm.lead or res.partner.

Amwork

Time Entry

maps to

Odoo CRM

Timesheet Entry (account.analytic.line)

1:1
Fully supported

Amwork time entries log against Tasks and Projects. We map them to Odoo account.analytic.line (timesheet entries) with the task_id and project_id lookups resolved at migration time. The Amwork time entry duration, date, description, and billable flag map to unit_amount, date, name, and analytic_line_tag respectively. Note that Odoo timesheet entries require an Employee record as the user reference; we resolve the Amwork task owner to an Odoo Employee via email match and create a minimal Employee record if one does not exist. Time entries that were attached to contacts in the source without a project are preserved as read-only notes on the linked Contact.

Amwork

Custom Field (contact-level)

maps to

Odoo CRM

Custom Field (res.partner)

lossy
Fully supported

Amwork custom contact fields require pre-creation of Odoo custom fields on res.partner before migration. We read the Amwork custom field definitions (type: text, number, date, choice), create matching Odoo ir.model.fields records with the correct ttype (char, float, date, selection), and map the custom field values during the Contact import phase. Multi-choice Amwork fields map to Odoo selection fields with explicit key-value pairs.

Amwork

Custom Field (task-level)

maps to

Odoo CRM

Custom Field (project.task)

lossy
Fully supported

Amwork custom task fields (activated at the project level) map to Odoo custom fields on project.task. We pre-create the Odoo field definitions using Odoo's ir.model.fields API before task migration, mapping Amwork field types to the nearest Odoo ttype. This mirrors the Amwork project-level activation model. If the Odoo Studio app is available, we use Studio for field creation; otherwise we use direct ORM calls.

Amwork

User / Owner

maps to

Odoo CRM

User (res.users)

1:1
Fully supported

Amwork Users referenced on Deals, Contacts, Companies, Tasks, and Projects map to Odoo res.users records. We resolve by email match against the destination Odoo instance's user list. Any Amwork Owner without a matching Odoo User is held in a reconciliation queue; the customer's Odoo admin provisions the missing User before record migration resumes. Active and inactive status is preserved in a custom field on the Odoo user record.

Amwork

Workspace

maps to

Odoo CRM

Company (res.company) or Team (crm.team)

lossy
Fully supported

Amwork Workspaces are the top-level organizational unit containing projects, users, and settings. For single-workspace Amwork accounts, we map the workspace to the primary Odoo res.company record. For multi-workspace accounts, we map each Amwork workspace to a separate res.company in Odoo's multi-company configuration, with crm.team records scoped per workspace. This is configured during the schema design phase before any record migration begins.

Amwork

Attachment

maps to

Odoo CRM

Attachment (ir.attachment)

1:1
Fully supported

Amwork file attachments on tasks and deals migrate as Odoo ir.attachment records linked via res_model and res_id to the corresponding project.task or crm.lead record. Large attachment batches are chunked into batches of 100 files to stay within Odoo API throughput limits. Files exceeding Odoo's attachment size limit are preserved as hosted URLs in a custom URL field on the record, with the customer informed of the limit before migration.

Amwork

Automation Rule

maps to

Odoo CRM

Automation Rule (documentation inventory)

1:1
Fully supported

Amwork BPMN automation rules and email follow-up sequences are configuration objects and do not migrate. We do not migrate automation rules as code because they are platform-specific and require re-authoring in Odoo. We deliver a written inventory of every active Amwork automation rule with its trigger conditions, actions, and recommended Odoo equivalent (Odoo Studio server action, automated action, or base.automation rule). The customer's Odoo admin or a certified Odoo partner rebuilds them 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.

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

Odoo CRM logo

Odoo CRM gotchas

High

Odoo.sh version gating blocks assisted migrations from trial

High

Enterprise modules fail to install on Community after database restore

Medium

Custom module view inheritance breaks between Odoo major versions

Medium

Custom fields risk losing their application context on Community

Low

API access for Community is gated behind the Custom Plan

Pair-specific challenges

  • Odoo requires custom field schema before data import

    Odoo CRM does not auto-create custom fields during data import. If Amwork has active custom fields on contacts or tasks, those fields must be pre-created in Odoo as ir.model.fields records before the migration script runs. We read Amwork's custom field definitions during scoping, create the matching Odoo field definitions (with correct ttype and selection options), and validate them in a sandbox environment before production migration. Skipping this step causes custom field values to silently drop during import, which is identical to the silent-drop behavior that drives Amwork users away from the platform's own import process.

  • Lead-to-Opportunity conversion requires explicit mapping

    Odoo CRM distinguishes between crm.lead records (type='lead') and Opportunities (type='opportunity'). Amwork has no equivalent distinction — Deals in Amwork serve both qualified and unqualified prospects in the same object. We map Amwork Deals to Odoo crm.lead records with type='opportunity' by default, and Amwork Leads to crm.lead with type='lead'. The Odoo crm_lead2opportunity_partner wizard is used post-migration for leads that should convert after cutover. If this distinction is not designed upfront, Amwork Leads land in Odoo as Opportunities without an Account or Contact, creating orphaned records that require manual conversion work.

  • Odoo validation rules can reject imported records

    Odoo CRM enforces field-level validation rules (required fields, format checks, picklist whitelists) that are common in configured Odoo instances. A migration that does not coordinate with the customer's Odoo admin to temporarily bypass validation rules will see record rejections ranging from 5 to 30 percent on the first import pass. We coordinate validation rule bypass before migration, re-enable them after the migration batch completes, and reconcile rejected records in a second pass. The Odoo XML-RPC API returns explicit error messages per record, which we parse and correct in the transform layer before retry.

  • Workspace-to-company mapping requires schema design

    Amwork multi-workspace accounts organize data in separate workspaces that may correspond to different business entities or client accounts. Odoo's multi-company feature requires explicit res.company records and user-access scoping before data can be imported under separate company contexts. We design the workspace-to-company mapping during the scoping phase, configure the res.company records in Odoo, and scope the data migration to the appropriate company context per Odoo's res.company rules. Without this design step, multi-workspace Amwork data risks landing under a single Odoo company with mixed record ownership.

  • Automation rules and BPMN workflows do not migrate

    Amwork BPMN automation rules (email follow-ups, task triggers, stage-change actions) are platform-specific configuration objects. They do not migrate to Odoo because Odoo's automation model (Odoo Studio server actions, base.automation rules, ir.actions.server) requires manual re-authoring by someone with Odoo development knowledge. We deliver a written inventory of every active Amwork automation rule with its trigger, conditions, and Odoo Studio equivalent recommendation. This inventory is a handoff document, not an implementation. Workflow rebuilds are outside standard migration scope.

Migration approach

Six steps for a successful Amwork to Odoo CRM data migration

  1. Discovery and Amwork workspace audit

    We audit the source Amwork account across workspaces, pipeline count, active deal stages, custom field definitions (object and type), task and project hierarchies, time entry volume, user list, and active automation rules. We confirm whether Amwork's built-in telephony configuration is in use (telephony data does not migrate to Odoo). We pair this with an Odoo instance review: installed apps, current CRM stage configuration, existing custom fields, and res.company structure. The discovery output is a written migration scope document with the workspace-to-company mapping, the custom field creation list, and the automation inventory checklist.

  2. Odoo schema preparation and custom field creation

    We pre-create all required Odoo records before any data migration: res.company records (for multi-workspace Amwork), CRM Teams per Amwork pipeline, CRM pipeline stages with correct names and probability percentages, custom fields on res.partner (for contact custom fields) and project.task (for task custom fields), and the Odoo Employee records needed for timesheet resolution. Schema creation runs in an Odoo Sandbox environment for validation. Any missing Odoo apps (Project, Timesheet) are identified and the customer procures them before production migration begins.

  3. Owner and user reconciliation

    We extract every distinct Amwork Owner referenced on Deals, Leads, Contacts, Companies, Tasks, and Projects and match by email against the destination Odoo res.users table. Any Amwork Owner without a matching Odoo User is added to a reconciliation queue with the owner name and email. The customer's Odoo admin provisions missing Users and sets them to active (or inactive if the Amwork user is deactivated). Owner reconciliation is a gate: we cannot import records with unresolved OwnerId references past this step.

  4. Sandbox migration and reconciliation

    We run a full migration into an Odoo Sandbox using production-like data volume. The migration sequence is: Companies (res.partner, type=company), Contacts (res.partner, type=contact with commercial_partner_id resolved), Leads (crm.lead, type=lead), Opportunities (crm.lead, type=opportunity), Projects (project.project), Tasks (project.task with parent_id hierarchy resolved), Timesheet entries (account.analytic.line with task_id and project_id resolved), and Attachments (ir.attachment with res_model and res_id resolved). The customer's Odoo admin reconciles record counts and spot-checks 25-50 records against the Amwork source. Any mapping corrections are made in the sandbox before production migration is scheduled.

  5. Production migration in dependency order

    We run the production migration using the validated sandbox mapping, with records imported in strict dependency order: company partners first, then contacts, then leads and opportunities, then projects, then tasks, then timesheet entries, then attachments. Each phase emits a row-count reconciliation report before the next phase begins. Validation rules are temporarily disabled for the migration user via Odoo ir.rule coordination with the customer's admin. Odoo XML-RPC API calls are batched in chunks of 100 records with exponential backoff on 429 rate-limit responses.

  6. Cutover, delta sync, and automation handoff

    We freeze Amwork writes during the cutover window, run a final delta migration for any records modified during the migration run, and enable Odoo as the system of record. We deliver the automation inventory document listing every Amwork BPMN rule with its trigger, conditions, actions, and Odoo Studio equivalent recommendation. We provide a one-week hypercare window to resolve any reconciliation issues raised by the customer's team. Workflow rebuilds, Odoo telephony configuration, and Odoo Studio training are outside standard migration scope and are scoped as separate engagements.

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
Odoo CRM logo

Odoo CRM

Destination

Strengths

  • Modular open-source architecture lets teams start with CRM and add ERP apps as needs grow, all sharing one PostgreSQL database.
  • Free Community edition with no contact limits and full source code access means zero licensing cost for evaluation and small deployments.
  • Drag-and-drop Kanban pipeline with AI lead scoring gives a visual, prioritized view of the sales funnel without requiring custom configuration.
  • Native integrations with email, live chat, SMS, VoIP, WhatsApp, and social media feed all inbound leads into a single unified inbox.
  • Active Odoo Community Association (OCA) maintains dozens of community-maintained modules on GitHub for extended functionality.

Weaknesses

  • Gmail and email integration reliability is a recurring complaint — threads drop and conversations scatter across inboxes, disrupting sales team workflows.
  • Enterprise edition pricing stacks quickly: multiple apps at per-user rates ($25–$50/user/month) plus Odoo.sh hosting costs more than many SMBs anticipate.
  • Setup and configuration complexity increases significantly once custom fields, automation rules, and multiple installed modules are in play.
  • Odoo.sh trial databases run on a version (e.g., 18.3) that is not directly migratable to Odoo.sh, blocking the assisted migration path Odoo advertises.
  • Version upgrades between major Odoo releases (e.g., 17→18) frequently break custom module view definitions and XPath expressions, requiring manual remediation.

Complexity grading

How hard is this migration?

Moderate CRM migration. 3 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 Odoo CRM.

  • Object compatibility

    B

    3 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 Odoo CRM 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 Odoo CRM data migrations

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

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Straightforward migrations under 20,000 total records with a single Amwork workspace, no custom objects, and no multi-company Odoo configuration complete in four to seven weeks. Migrations with custom fields across multiple object types, multi-workspace Amwork accounts, large project and task hierarchies (over 5,000 tasks), or Odoo instances with the Project and Timesheet apps installed move to eight to twelve weeks because of schema creation time, parent-record resolution depth, and Odoo validation-rule coordination.

Adjacent paths

Related migrations to explore

Ready when you are

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