Helpdesk migration

Migrate from Atomicwork to Salesforce Service Cloud

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

Atomicwork logo

Atomicwork

Source

Salesforce Service Cloud

Destination

Salesforce Service Cloud logo

Compatibility

70%

7 of 10

objects map 1:1 between Atomicwork and Salesforce Service Cloud.

Complexity

BStandard

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Atomicwork to Salesforce Service Cloud is a structural migration across two fundamentally different data models. Atomicwork centres on a conversational-first Request object surfaced through Slack, Teams, or a browser portal, where every AI-deflected or human-resolved ticket creates a lifecycle-tracked record. Salesforce Service Cloud models the same problem as Case records with record-type-scoped status values, a separate Contact attached to an Account, and a 360-degree view across the entire customer lifecycle. We design the Case Record Type and Status mappings during scoping, preserve the AI-resolved flag from Atomicwork in a custom field on Case, and migrate conversation history as EmailMessage records threaded to the Case. Workflow automations, Asset Discovery scan results, and Reports are not API-accessible from Atomicwork and require manual export or rebuild steps that we scope upfront before any data movement begins.

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

Atomicwork logo

Atomicwork

What's pushing teams away

  • Workflow automation is limited to Atomicwork's own builder — there is no public API for exporting or transferring automation logic, making migrations from Atomicwork a ground-up rebuild of all automations.
  • As a newer platform (founded 2022), Atomicwork has a smaller ecosystem of third-party integrations and a shorter track record than established ITSM vendors, which concerns some enterprise procurement teams.
  • The AI agent's knowledge base must be manually maintained and kept current — if knowledge articles go stale, deflection rates drop and ticket volume spikes, creating a maintenance burden.
  • Pricing is package-based and negotiated, making it difficult to compare costs against competitors without a sales conversation, and some customers report unexpected cost increases at renewal.
  • Organizations with complex legacy ITSM configurations (custom ticket fields, approval hierarchies, SLAs) find that Atomicwork's simplified model requires them to compromise on established process structures.

Choosing

Salesforce Service Cloud logo

Salesforce Service Cloud

What's pulling them in

  • Deep Salesforce ecosystem integration with Sales Cloud, Marketing Cloud, and custom Apex apps creates a single pane of glass for enterprise customer data and cross-functional workflows.
  • Omnichannel case routing — email, chat, phone, social, and messaging — unified under one case object means agents do not lose context when customers switch channels mid-interaction.
  • AI for customer service (Einstein AI / Agentforce) offers automated case classification, suggested replies, and chatbot routing that reduces Tier-1 ticket volume without manual rule authoring.
  • Entitlement and milestone tracking enforces SLA compliance natively, automatically calculating breach windows and surfacing violations to supervisors in dashboards.
  • Salesforce's massive AppExchange ecosystem provides pre-built connectors, industry-specific managed packages, and third-party tools that extend Service Cloud beyond its out-of-box capabilities.

Object mapping

How Atomicwork objects map to Salesforce Service Cloud

Each row shows how a Atomicwork object lands in Salesforce Service Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

Atomicwork

Request

maps to

Salesforce Service Cloud

Case

1:1
Fully supported

Atomicwork Request maps to Salesforce Case as the primary ticket object. We map Request.id to Case.CaseNumber, Request.category to Case.RecordType, Request.status to Case.Status, Request.priority to Case.Priority, Request.requester_id to Case.ContactId via User lookup, and Request.assignee_id to Case.OwnerId. We preserve the AI-resolved versus human-resolved flag in a custom field ai_resolved__c on Case so that the customer's analytics on deflection rate continue post-migration. Conversation thread (comments, replies, system notes) migrates as EmailMessage records linked to the Case. Request.created_at and Request.updated_at map to Case.CreatedDate and Case.LastModifiedDate for historical timestamp preservation.

Atomicwork

User

maps to

Salesforce Service Cloud

User

1:1
Fully supported

Atomicwork Users (agents and requesters) map to Salesforce Users. We resolve by email match during import. Agent status (active, inactive) maps to Salesforce User.IsActive, and role (IT agent, HR agent, Finance agent) maps to a custom User field user_type__c since Salesforce does not have a native ITSM role concept. Any Atomicwork User without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before Case import begins.

Atomicwork

Asset

maps to

Salesforce Service Cloud

Asset or Custom CMDB Object

1:1
Fully supported

Atomicwork Assets (CI items linked to Requests) map to Salesforce Asset by default, preserving Asset.Name, Asset.Type, Asset.Status, and the relationship to Case via AssetId. Asset Discovery scan data is NOT accessible via the Atomicwork API, so we request a manual Discovery export CSV from the customer during scoping and ingest it separately as a CMDB import. If the customer's CMDB is more complex than the standard Asset object, we create a custom CMDB object with the same field structure as the Discovery export.

Atomicwork

Form

maps to

Salesforce Service Cloud

Case with Custom Fields

lossy
Fully supported

Atomicwork Forms with field definitions and labels migrate as a set of Salesforce custom fields on the Case object, using the Form's field order as a loose guide for Case field sequence on the Page Layout. Conditional branching, required-field rules, and form logic are not fully exposed via the Atomicwork API, so we document the conditional logic during discovery and note it as a manual configuration step for the customer's Salesforce admin post-migration.

Atomicwork

Change

maps to

Salesforce Service Cloud

Case with Change Record Type

lossy
Fully supported

Atomicwork Change records (RFCs with status, priority, risk level, and CAB approvers) map to Salesforce Case using a Change Request Record Type that distinguishes them from standard support Cases. Risk level and approval chain migrate as custom fields on the Case. Linked Request references migrate as a lookup to the related Case. CAB approvers migrate as a custom multi-user field approvers__c that the customer maps to Salesforce Approvals or a manual sign-off process post-migration.

Atomicwork

Knowledge Article

maps to

Salesforce Service Cloud

Knowledge Article

1:1
Fully supported

Atomicwork Knowledge Articles (title, body, category, status, tags) migrate to Salesforce Knowledge articles of the DataCategoryGroupSelection type. We map Article.body to KnowledgeArticle.Summary or a custom rich-text body field, Article.category to Salesforce Data Category, and Article.status to KnowledgeArticle.ArchiveStatus. Tag relationships from Atomicwork migrate as Salesforce Data Category assignments, and any content attachments migrate as ContentDocument records linked to the article. Salesforce Knowledge must be enabled and configured in the destination org before this phase begins.

Atomicwork

Workflow

maps to

Salesforce Service Cloud

Flow (documented only)

1:1
Fully supported

Atomicwork Workflow automations (triggers, conditions, actions) are built in a visual builder and are not exposed via API. We do not migrate them as code. We deliver a written inventory of every active Atomicwork Workflow with its trigger type, conditions, actions, and recommended Salesforce Flow equivalent during the discovery phase. The customer's admin or a Salesforce partner uses this inventory to rebuild automations post-migration. This applies equally in both directions: existing Salesforce Flows do not migrate from the destination either.

Atomicwork

Conversation

maps to

Salesforce Service Cloud

EmailMessage + Task

1:1
Fully supported

Atomicwork Conversation records (comments on a Request from requesters, agents, and system notes) migrate to Salesforce EmailMessage records linked to the Case via the EmailMessage.ParentId reference. Each message body migrates as EmailMessage.TextBody, the author resolves to the mapped User record, and timestamps preserve as EmailMessage.MessageDate. Internal notes flagged as private in Atomicwork map to Task records on the Case rather than EmailMessage to maintain visibility controls.

Atomicwork

Tag

maps to

Salesforce Service Cloud

Custom Multi-Select Picklist

1:1
Fully supported

Atomicwork Tags applied to Requests and Articles migrate as a custom multi-select picklist field on Case named request_tags__c. The flat tag list from Atomicwork is preserved in the import, and the customer decides whether to convert tags to Salesforce categories, topics, or retain them as a plain multi-select during scoping. Content-related tags (on Knowledge Articles) migrate as Salesforce Data Category assignments where applicable.

Atomicwork

Workspace

maps to

Salesforce Service Cloud

Record Type, Business Unit, or Org

lossy
Fully supported

Atomicwork workspaces are top-level organisational containers for Requests, Assets, Users, and Workflows. Since Salesforce does not have a native workspace object, we map each Atomicwork workspace to either a Case Record Type (for simple single-org scenarios), an Experience Cloud Business Unit (for multi-tenant isolation), or a separate Salesforce org (for enterprise isolation requirements). We confirm the strategy with the customer during scoping before migration planning begins. Failing to resolve workspace mapping upfront risks importing Requests into the wrong organisational context.

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.

Atomicwork logo

Atomicwork gotchas

High

Workflow automations are not API-exportable

High

Asset Discovery data requires a manual export

Medium

API rate limits are not publicly documented

Medium

Workspace scoping must be validated before migration

Salesforce Service Cloud logo

Salesforce Service Cloud gotchas

High

Data Export 512MB file size cap breaks large org exports

High

API Daily Request Limits vary by license edition

High

No automatic data backup in base Salesforce

Medium

Picklist dependencies silently break records when unmapped

Medium

Workflow rules fire unexpectedly during data load

Pair-specific challenges

  • Workflow automations are not API-exportable

    Atomicwork's workflow builder stores automation logic server-side with no public API endpoint for export. Every trigger, condition, and action across all workspaces must be documented manually during discovery. We deliver this as a written inventory — a rebuild checklist — that the customer's Salesforce admin or a certified Salesforce partner uses to reconstruct equivalent automations in Flow. There is no migration shortcut: SLA escalation timers, approval routing rules, and Zapier-equivalent integrations all require manual reconstruction on the destination platform. This also means that if the destination org has existing Salesforce Flows, they do not transfer either — the inventory is a two-way reference document.

  • Asset Discovery data requires a manual CSV export

    The Atomicwork API exposes the Assets endpoint for manually created CI items but not the Asset Discovery scan results that populate the CMDB — scan runs produce records about network-connected devices, software versions, and configuration items that are not retrievable via the documented API. We request a Discovery export CSV from the customer's Atomicwork instance during scoping and ingest it as a separate CMDB import into Salesforce (either the standard Asset object or a custom CMDB object depending on the customer's data model). This step must happen before the production migration window because it affects the Case-to-Asset linkage for historical records.

  • API rate limits are not publicly documented

    The Atomicwork API documentation does not publish per-account rate limits. When planning bulk migration runs, we use conservative request pacing and monitor for 429 responses to detect throttling dynamically. For large account migrations (10,000+ Requests), we implement exponential backoff with chunked batch processing. If the customer has a contracted API quota under their Atomicwork plan, we ask them to confirm it during scoping before migration execution so that we can calibrate pacing appropriately. Without this, bulk migrations may experience silent throttling or dropped records.

  • Workspace-to-org mapping must be confirmed before planning

    Atomicwork's multi-workspace model means a single account may contain isolated environments for different business units. Our migration tool targets one workspace at a time. We confirm during scoping which workspaces contain live data, which are sandboxes, and whether the destination Salesforce org requires a Record Type, a Business Unit, or a separate org to maintain equivalent isolation. If the customer has a multi-workspace setup and plans to consolidate into a single Salesforce org, we flag which Request and Asset records may need ownership reassignment to reflect the new structure.

  • Case Record Type and Status values require configuration before Case import

    Atomicwork's Request categories and status values are arbitrary strings tied to the workspace configuration. Salesforce Case Record Types whitelist specific Status values per record type, and any status value not in the allowed set is rejected at import time. We design the Record Type and Sales Process structure in the destination org during the schema design phase before any Case data moves. If the customer has many Request categories or complex status lifecycles, this configuration step adds one to two weeks to the project timeline and must complete before Case migration begins.

Migration approach

Six steps for a successful Atomicwork to Salesforce Service Cloud data migration

  1. Discovery and scoping

    We audit the source Atomicwork instance across all workspaces, inventory Requests with category and resolution-type breakdown, count conversation message volume, list all active Users with role and department assignments, and identify Assets and any Knowledge Articles. We request the Asset Discovery CSV during this phase since it requires a manual export from the customer. We also run the workflow audit — documenting every active automation trigger, condition, and action — and collect existing Salesforce org details (edition, existing Record Types, User count). The discovery output is a written migration scope with object counts, a workspace-to-org mapping recommendation, and a list of manual export dependencies.

  2. Schema design and Case Record Type configuration

    We design the Salesforce Case model to match Atomicwork's Request structure. This includes creating Case Record Types for each Atomicwork Request category, configuring Status values to match the original status lifecycle, creating custom fields for ai_resolved__c, request_tags__c, and any Atomicwork custom Request properties, and enabling Salesforce Knowledge if the customer has a Knowledge Article migration scope. Schema is deployed to a Salesforce Sandbox first for validation before production migration begins. We also document every active Atomicwork Workflow as a rebuild checklist for Flow during this phase.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using production-like data volume. The customer's IT service manager or admin reviews imported Cases against the source Atomicwork Request records, spot-checks 25-50 records for field-level accuracy, validates the ai_resolved__c flag and conversation thread integrity, and confirms the workspace-to-Record-Type mapping. Any field mapping corrections, missing status values, or Record Type additions are resolved here. The customer signs off on the sandbox migration before we proceed to production.

  4. Owner reconciliation and User provisioning

    We extract every distinct Atomicwork User referenced on Requests, Assets, and Changes and match by email against the Salesforce destination org's User table. Any Atomicwork User without a matching Salesforce User goes to a reconciliation queue. The customer's admin provisions missing Users (active or inactive depending on whether the original Atomicwork user is still active). Migration cannot proceed past this step because Case.OwnerId references are required at insert time. We also confirm whether inactive Atomicwork Users should be provisioned as inactive Salesforce Users to preserve historical assignment on closed Cases.

  5. Production migration in dependency order

    We run production migration in record-dependency order: CMDB data from the Discovery CSV (if received), then Users, then Cases with ai_resolved__c and conversation history via the Salesforce Bulk API, then Changes, then Knowledge Articles (if Salesforce Knowledge is enabled). Each phase emits a row-count reconciliation report before the next begins. We use Bulk API with chunking and exponential backoff on 429 responses. During the migration window, we freeze writes to the source Atomicwork instance to prevent record creation that would require a delta migration at cutover.

  6. Cutover, validation, and Workflow rebuild handoff

    We run a final delta migration for any Requests created or modified during the migration window, then enable Salesforce Service Cloud as the system of record. We deliver the Workflow rebuild checklist to the customer's admin team with a recommended Flow equivalent for each Atomicwork automation. We deliver the Knowledge Article import summary and the Case Record Type configuration document as a permanent record for the customer's Salesforce admin. We support a one-week post-migration hypercare window to resolve any record-level reconciliation issues. Workflow rebuild, Flow configuration, and any additional Salesforce admin training are outside the standard migration scope.

Platform deep dives

Context on both ends of the pair

Atomicwork logo

Atomicwork

Source

Strengths

  • Agentic AI resolves routine requests autonomously without human intervention or ticket creation.
  • Unified conversational interface across Slack, Teams, and web portal with consistent UX.
  • Single platform covering ITSM, HR automation, and Finance operations with shared data model.
  • No-code workflow builder with conditional logic, webhooks, and external AI agent triggers.
  • Enterprise-grade SLA with 24/7 support and dedicated account management on top tier.

Weaknesses

  • Workflow automations cannot be exported via API — all automations must be manually rebuilt on the destination.
  • No public documentation for API rate limits, making bulk migration planning speculative.
  • Asset Discovery records are not accessible via API, requiring manual CSV exports for CMDB migration.
  • Reports and dashboards are not API-exportable; customers must document and manually recreate analytics configurations.
  • Smaller third-party integration ecosystem compared to ServiceNow or Jira Service Management.
Salesforce Service Cloud logo

Salesforce Service Cloud

Destination

Strengths

  • Enterprise-grade security, compliance certifications, and audit logging available across all paid editions with Shield offering enhanced event monitoring.
  • Scalable multi-tenant cloud architecture supporting orgs from 5 users to 150,000+ seat enterprises without infrastructure management overhead.
  • Omnichannel contact center unifying email, live chat, phone, messaging, and social into a single Case timeline per customer interaction.
  • Rich workflow automation via Salesforce Flow, Process Builder, and Apex triggers enabling complex case escalation, routing, and field updates.
  • Native AI capabilities (Agentforce / Einstein) for case auto-routing, classification, suggested responses, and chatbot escalation without third-party add-ons.

Weaknesses

  • Per-seat pricing model with no contact limits creates unpredictable cost scaling for large organizations adding many agents over time.
  • No automatic data backup — organizations must purchase a third-party backup solution or build manual Data Loader exports to protect against data loss from human error, failed deployments, or integrations overwriting records.
  • Steep learning curve for non-technical users requiring dedicated admin resources and formal training investment before teams reach productive velocity.
  • Annual contract requirements and limited pro-ration on exit create significant switching cost friction, especially for organizations evaluating alternatives mid-cycle.
  • Add-on licensing (CPQ, Einstein Activity Capture, Shield, Data Cloud) can double effective per-seat cost without clear documentation of which features are included in base tiers.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a manual workaround.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Atomicwork and Salesforce Service Cloud.

  • Object compatibility

    B

    1 of 7 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

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Atomicwork: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Atomicwork to Salesforce Service 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 Atomicwork to Salesforce Service Cloud data migrations

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

Can't find your answer?

Walk through your Atomicwork to Salesforce Service Cloud migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between four and eight weeks for accounts under 5,000 Requests with a single workspace, clean user mapping, and no Knowledge Article or CMDB complexity. Migrations with multiple workspaces requiring Record Type redesign, large Request histories with rich conversation threads (over 25,000 messages), or Knowledge Article reformatting for Salesforce Knowledge move to ten to sixteen weeks. Salesforce Knowledge setup alone can add one to two weeks if the destination org has never enabled it.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Atomicwork.
Land in Salesforce Service Cloud, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day