CRM migration

Migrate from Amwork to Salesforce Sales Cloud

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

Amwork logo

Amwork

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

50%

7 of 14

objects map 1:1 between Amwork and Salesforce Sales Cloud.

Complexity

CModerate

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Amwork to Salesforce Sales Cloud is a structural migration, not a record copy. Amwork organizes CRM data inside a workspace-builder environment where Contacts, Companies, and Deals share a project-centric layout, and time tracking logs against tasks rather than directly against contacts. Salesforce uses a standard Account-Contact-Opportunity hierarchy with separate objects for time tracking, reporting, and workflow automation. We pre-create Salesforce custom objects for Amwork Projects (which have no native Salesforce equivalent), resolve the workspace-to-Account mapping where multiple workspaces may point to one Salesforce org, and convert time entries to read-only Task records with a migration flag. Automation rules (BPMN-based in Amwork) do not migrate; we deliver a written inventory of every active rule with a recommended Salesforce Flow equivalent for your admin to rebuild.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Amwork objects map to Salesforce Sales Cloud

Each row shows how a Amwork object lands in Salesforce Sales Cloud, 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

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Amwork Contacts with lifecycle stage of lead, unqualified, or prospect map to Salesforce Lead. Lifecycle stage of customer, evangelist, or active client map to Salesforce Contact tied to an Account. We compute the split using Amwork's lifecycle_stage and contact_status properties, preserve the original Amwork stage in a custom field amwork_original_lifecycle__c on both Lead and Contact, and flag any contacts with no lifecycle stage for manual classification during UAT.

Amwork

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Amwork Company records map directly to Salesforce Account. Company domain becomes the Account Website field and is used as the dedupe key during import. In multi-workspace Amwork accounts, we check for duplicate companies across workspaces and consolidate before insert to avoid creating duplicate Accounts in Salesforce. Account is created before any Contact import so that the AccountId Lookup is satisfied at the moment of Contact insert.

Amwork

Deal

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Amwork Deals map to Salesforce Opportunity. Deal stage maps to Salesforce StageName and pipeline assignment maps to a Salesforce Record Type and Sales Process that we configure before migration. Deal value, close date, and owner assignments migrate directly. Amwork's deal custom properties (closed-lost reason, closed-won reason, product line) become Salesforce custom Opportunity fields.

Amwork

Deal Stage

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Each Amwork pipeline stage becomes a Salesforce StageName value within the corresponding Sales Process. Stage probability percentages migrate from Amwork to Salesforce StageProbability, rounded to the nearest integer allowed by Salesforce. If Amwork stages have names not present in the target Salesforce edition's standard stages, we create custom stage values during schema design.

Amwork

Pipeline

maps to

Salesforce Sales Cloud

Record Type + Sales Process

lossy
Fully supported

Amwork's customizable deal pipelines map to Salesforce Record Types on Opportunity. Each Record Type gets its own Sales Process that whitelists the relevant stage values, Page Layout assignment, and field-level security profile. This configuration is deployed to a Salesforce Sandbox first for validation before the record migration begins.

Amwork

Lead

maps to

Salesforce Sales Cloud

Lead

1:1
Fully supported

Amwork's separate Leads section maps directly to Salesforce Lead. Lead status maps to Salesforce Lead Status. Any Amwork lead score custom property migrates to a custom Salesforce Lead field lead_score__c. Leads without a valid email address are flagged in the reconciliation report and held from import pending resolution.

Amwork

Project

maps to

Salesforce Sales Cloud

Custom Object (Project__c)

lossy
Fully supported

Amwork Projects have no native Salesforce equivalent. We create a Salesforce custom object Project__c with custom fields for project name, description, status, start date, and end date matching Amwork's project schema. For ongoing project management needs, we recommend a Salesforce-native project tool (Salesforce Flow + Tasks, or an AppExchange project app) as a post-migration implementation scope. The customer's admin selects the preferred approach during scoping.

Amwork

Custom Fields

maps to

Salesforce Sales Cloud

Custom Fields

lossy
Mapping required

Amwork custom fields (text, number, date, choice types) attach to records via project-level activation. We create equivalent Salesforce custom fields on the corresponding standard or custom object, mapping Amwork field types to Salesforce field types (text to Text, number to Number, date to Date, choice to Picklist or Multi-Select Picklist). Missing custom fields are created in Salesforce before any record import begins.

Amwork

Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Amwork Tasks migrate to Salesforce Task with assignees, due dates, priorities, and parent-child relationships preserved via Salesforce Task relations or a custom parent_task__c lookup. Checklist sub-items on Amwork tasks become Salesforce Task subtasks linked via the WhatId or a custom lookup field. Project membership migrates as a custom field on Task.

Amwork

Time Entry

maps to

Salesforce Sales Cloud

Task (read-only note)

1:1
Fully supported

Amwork time entries attach to tasks and projects, not directly to contacts or companies. Since Salesforce has no native time tracking object, we convert time entries to read-only Task records with Subject = 'Time Entry: [task name]', Description = '[duration] - [description]', and a custom field time_entry_duration__c in minutes. A time_entry_source__c flag set to 'amwork_migration' marks migrated entries so they can be identified and managed separately from live Tasks.

Amwork

Attachment

maps to

Salesforce Sales Cloud

ContentDocument (via ContentDocumentLink)

1:1
Fully supported

Amwork file attachments on tasks and deals migrate as Salesforce ContentDocument records linked via ContentDocumentLink to the parent record (Task or Opportunity). Large attachment batches exceeding 10,000 files require chunked migration with rate-limit handling to stay within Salesforce Bulk API throughput limits.

Amwork

Automation Rules

maps to

Salesforce Sales Cloud

N/A — no migration

lossy
Not supported

Amwork BPMN-based automation rules and email follow-up sequences are configuration objects, not data records. We do not migrate automation rules as code because they are platform-specific and require re-authoring in Salesforce Flow. We deliver a written inventory of every active Amwork automation rule with its trigger, conditions, actions, and a recommended Salesforce Flow equivalent for the customer's admin to rebuild post-migration.

Amwork

User

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Amwork User records (name, email, role, active status) map to Salesforce User by email match. Any Amwork user without a matching Salesforce User is held in the owner reconciliation queue. The customer's Salesforce admin provisions missing Users before record migration resumes. Inactive Amwork users become inactive Salesforce Users with their original Owner references preserved for audit.

Amwork

Workspace

maps to

Salesforce Sales Cloud

Account or Custom Object (Division__c)

lossy
Fully supported

Amwork Workspaces are top-level organizational units that may span multiple business units. In single-workspace Amwork accounts, we map the workspace to the Salesforce org itself. In multi-workspace accounts, we map each workspace to either a Salesforce Account (if workspaces map to customer organizations) or a custom Division__c object for internal segmentation. The customer chooses the mapping strategy during scoping.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Amwork import fails silently on field mismatch

    Amwork's import process validates uploaded spreadsheets against its internal field names. Records with mismatched or unrecognized column headers import with partial data or fail silently without surfacing an error. We pre-validate the source export against Amwork's expected schema before migration, flag any mismatched columns, and correct the export rather than discover gaps after records land in Salesforce. This step applies equally when extracting from Amwork for any downstream destination, not just Salesforce.

  • Deal stage moves require menu selection in Amwork

    Amwork does not support dragging a deal card from one pipeline stage to another — stage changes require opening a record menu and selecting the destination. During migration scoping, we confirm your Amwork pipeline stages map to Salesforce stage names. Any missing stages are created in Salesforce before the Opportunity import so stage reassignment is not needed post-migration. This affects how we design the Salesforce Sales Process upfront.

  • Lead-Contact split has no automated answer

    Amwork's single Contacts module with lifecycle stage does not have a direct Salesforce equivalent. Salesforce expects unqualified prospects as Leads and qualified buyers as Contacts tied to Accounts. We define the split rule during scoping based on the customer's Amwork lifecycle stage matrix, apply it as the first transform, and preserve the original stage in a custom field on both Lead and Contact for audit. Skipping this design step results in orphaned Contacts with no Account or Leads that should have been converted on day one.

  • Time entries migrate as notes, not native records

    Amwork time entries log hours against tasks and projects; they cannot be logged directly against a Contact or Company record. Salesforce has no native time tracking object. We convert time entries to read-only Task records with duration stored in a custom field. Customers needing active time tracking in Salesforce should plan for an AppExchange time tracking app or a custom time entry object as a separate post-migration implementation scope.

  • Salesforce validation rules and FLS can block import

    Salesforce orgs commonly enforce validation rules (required formats, conditional requireds, picklist whitelists) and field-level security that the migration user must explicitly bypass during load. We coordinate with the customer's Salesforce admin to grant the migration user Modify All Data and Bulk API permissions, and either temporarily disable validation rules during load or extend them with a migration-context check. Skipping this step results in 5-30 percent record rejection on the first import attempt.

Migration approach

Six steps for a successful Amwork to Salesforce Sales Cloud data migration

  1. Discovery and source audit

    We audit the source Amwork workspace across records (Contacts, Companies, Deals, Leads, Projects, Tasks, Time Entries, Attachments), custom field definitions, automation rule count, user count, and workspace structure. We assess the target Salesforce edition: Professional ($80/user) covers most migrations; Enterprise ($165/user) is required for advanced Flow at scale, reporting types, or API access; Unlimited ($330/user) only if 24x7 support is required. The discovery output is a written migration scope and a Salesforce edition recommendation.

  2. Schema design and sandbox provisioning

    We design the destination schema in Salesforce. This includes creating custom objects for Amwork Projects (with __c API names matched to Amwork object names), custom fields on standard and custom objects, Record Types and Sales Processes per Amwork pipeline, and the Lead-Contact split rule based on the customer's Amwork lifecycle stage matrix. Workspace-to-Account mapping is confirmed during this step for multi-workspace Amwork accounts. Schema is deployed via Salesforce Metadata API into a Sandbox org first for validation before any record migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using production-like data volume. The customer's RevOps lead reconciles record counts (Leads in, Contacts in, Accounts in, Opportunities in, Tasks in, Time Entries in), spot-checks 25-50 random records against the Amwork source, and signs off the schema and mapping before production migration begins. Mapping corrections happen in the sandbox, not in production.

  4. Owner reconciliation and User provisioning

    We extract every distinct Amwork User referenced on Contact, Company, Deal, and Engagement records and match by email against the Salesforce destination org's User table. Users without a matching Salesforce User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users before record migration resumes. Migration cannot proceed past this step because OwnerId references are required on most standard objects.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Users (manual provisioning, validated), Accounts (from Amwork Companies), Leads (with lifecycle stage split applied), Contacts (with AccountId resolved), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Projects (as custom objects), Custom Fields, Tasks (with hierarchy preserved), Time Entries (converted to read-only Task notes via Bulk API 2.0), Attachments (as ContentDocument via Bulk API). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Amwork writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We validate data completeness against the reconciliation reports and deliver the automation rule inventory document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Amwork automation rules as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.

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
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

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 Salesforce Sales Cloud.

  • 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

Can't find your answer?

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Most migrations land between four and eight weeks for accounts under 25,000 Contacts and 5,000 Deals with no custom objects. Migrations with custom objects (Amwork Projects, custom data models), large time-entry histories (over 100,000 records), or multi-workspace Salesforce destinations move to ten to sixteen weeks because of schema pre-creation, workspace-to-Account split design, and time-entry transformation work.

Adjacent paths

Related migrations to explore

Ready when you are

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