Helpdesk migration
Field-level mapping, validation, and rollback between Atomicwork and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.
Atomicwork
Source
Zendesk
Destination
Compatibility
9 of 11
objects map 1:1 between Atomicwork and Zendesk.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Atomicwork to Zendesk is a platform change with significant structural differences. Atomicwork centres on a conversational-first Request object where every Slack, Teams, or portal message creates a threaded record with an AI-versus-human resolution flag; Zendesk uses a conventional ticket model with Comments, and AI resolution needs to be reconstructed via Zendesk's own AI features post-migration. We map the Request lifecycle to Zendesk Ticket status, preserve the AI-resolved indicator in a custom ticket field, and thread internal notes and requester replies into the correct comment stream. Atomicwork's multi-workspace model requires flattening into Zendesk Groups or a multi-org structure during scoping. Workflow automations cannot be exported via API and must be manually rebuilt in Zendesk; we deliver a full automation inventory as part of the discovery output. Asset Discovery records are not API-accessible, so we request a manual CSV export before migration begins and load it as a separate Asset import into Zendesk.
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 Atomicwork object lands in Zendesk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Atomicwork
Request
Zendesk
Ticket
1:1Atomicwork Request maps directly to Zendesk Ticket. The Request status lifecycle (Open, In Progress, Pending, Resolved, Closed) maps to Zendesk Ticket Status with a custom field at_request_status__c preserving the original atomicwork status for audit. Priority and category map to Zendesk Priority and Tags respectively. The AI-resolved versus human-resolved flag is not native to Zendesk; we store it in a custom field at_resolution_type__c on the Ticket. Conversation threads from the Request detail view migrate as Ticket Comments with public/private distinction preserved via Zendesk's comment.author_type or channel attributes.
Atomicwork
User (Agent)
Zendesk
Agent
1:1Atomicwork internal agents map to Zendesk Agent accounts. We resolve by email match against the Zendesk user table. Agent role (Tier 1 support, Tier 2 support, IT manager) maps to Zendesk Agent role (Agent, Admin) with the team assignment preserved in Groups. Any Atomicwork agent without a matching Zendesk account enters a reconciliation queue for the customer's admin to provision before record migration continues.
Atomicwork
User (Requester)
Zendesk
End User
1:1Atomicwork employee requesters map to Zendesk End Users. Name, email, and department migrate directly. Inactive or deactivated Atomicwork users are set to suspended in Zendesk rather than deleted, preserving historical requester linkage. Department information maps to a custom user field at_department__c if the customer's Zendesk plan supports custom user fields.
Atomicwork
Assets
Zendesk
Assets
1:1Atomicwork Assets (CI items linked to Requests) map to Zendesk Assets. We map asset name, type, owner, location, and the relationship to the originating Request by linking the Zendesk Asset to the migrated Ticket via a custom relationship field or by attaching the Asset URL as a Ticket comment. Asset Discovery scan results are not accessible via Atomicwork API and require a manual CSV export from the customer before migration; we ingest this CSV and map it to Zendesk Assets as a separate pre-migration step.
Atomicwork
Forms
Zendesk
Ticket Fields
1:1Atomicwork intake form field definitions (labels, field types, required flags) are exported via API and used to configure Zendesk Ticket Fields in the target account before Request migration begins. Conditional branching and required-rule logic are not fully exposed via the Atomicwork API, so we document the visible form structure and advise the customer to rebuild equivalent conditional logic in Zendesk's own field configuration. We do not migrate form logic as executable code.
Atomicwork
Knowledge Articles
Zendesk
Zendesk Guide Articles
1:1Atomicwork Knowledge Articles (title, body, category, status, and article-to-category assignments) migrate to Zendesk Guide Articles within their corresponding Sections. We export articles in bulk, map the Atomicwork category hierarchy to Zendesk Guide Sections and Categories, and ingest via the Zendesk Help Center API. Article deduplication is a known risk: migration tools that do not validate by article title can create duplicates. We use title dedupe keys before insert to prevent duplicate articles. Tags from Atomicwork map to Zendesk Article labels.
Atomicwork
Changes
Zendesk
Macros and SLA Policies
1:manyAtomicwork Changes (RFC records with status, priority, risk level, and CAB approvers) do not have a direct Zendesk equivalent object. Standard Changes with simple approval routing map to Zendesk Macros applied manually by agents. Complex Changes with formal CAB approval chains and risk scoring map to Zendesk SLA Policies with custom Ticket fields for risk level and approval status. The mapping is determined during discovery by reviewing the Change record complexity across the source account.
Atomicwork
Conversations
Zendesk
Ticket Comments
1:1Atomicwork Request conversation threads (agent replies, requester replies, and system notes) migrate as Zendesk Ticket Comments preserving the original timestamp and author. We distinguish internal notes from public replies using the Atomicwork conversation visibility attribute, mapping internal notes to Zendesk private comments (comment.public = false). Attachment URLs are migrated as references; large binary attachments may require re-upload via Zendesk's attachment API. The chronological ordering of the thread is preserved by setting comment.created_at to the original Atomicwork timestamp.
Atomicwork
Tags
Zendesk
Tags
1:1Atomicwork Tags applied to Requests and Articles migrate as Zendesk Tags on the corresponding Ticket or Article record. We export the tag list as a flat set and insert via Zendesk's tag API. Tags used for content classification on Articles map to Zendesk Article labels. The customer selects tag strategy during scoping if there is ambiguity between tagging for ticket organisation versus article categorisation.
Atomicwork
Workspaces
Zendesk
Groups or Organisations
lossyAtomicwork workspaces are top-level organisational containers that may represent separate business units. Zendesk does not have a direct workspace equivalent at the Suite tier. During scoping we determine whether to flatten workspaces into Zendesk Groups (suitable for most ITSM use cases) or to use Zendesk multi-org if the customer has a Suite Enterprise account requiring full data separation. Workspace isolation requirements are confirmed before migration begins; failing to scope this correctly results in Requests being imported into the wrong organisational context.
Atomicwork
Workflows
Zendesk
Triggers, Macros, Automations
1:1Atomicwork Workflows (triggers, conditions, and actions built in the visual builder) are not API-exportable and do not migrate. We run a full workflow audit during discovery, documenting every active trigger, condition, and action across all workspaces. This inventory is handed to the customer as a rebuild checklist mapped to Zendesk equivalents: Atomicwork event-based triggers map to Zendesk Triggers; conditional routing rules map to Zendesk Macros; SLA escalation timers map to Zendesk SLA Policies. The customer's admin or a Zendesk partner rebuilds these post-migration.
| Atomicwork | Zendesk | Compatibility | |
|---|---|---|---|
| Request | Ticket1:1 | Fully supported | |
| User (Agent) | Agent1:1 | Fully supported | |
| User (Requester) | End User1:1 | Fully supported | |
| Assets | Assets1:1 | Fully supported | |
| Forms | Ticket Fields1:1 | Mapping required | |
| Knowledge Articles | Zendesk Guide Articles1:1 | Mapping required | |
| Changes | Macros and SLA Policies1:many | Fully supported | |
| Conversations | Ticket Comments1:1 | Fully supported | |
| Tags | Tags1:1 | Mapping required | |
| Workspaces | Groups or Organisationslossy | Mapping required | |
| Workflows | Triggers, Macros, Automations1:1 | Not 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.
Atomicwork gotchas
Workflow automations are not API-exportable
Asset Discovery data requires a manual export
API rate limits are not publicly documented
Workspace scoping must be validated before migration
Zendesk gotchas
Data export requires API scripting on non-Enterprise plans
Automations cap at 500 active rules and 1,000 tickets per hour
Help Center has no native export feature
Custom Objects and full data export are Enterprise-only
Pair-specific challenges
Migration approach
Discovery and workspace scoping
We audit the source Atomicwork account across all workspaces, extracting Request volume, user counts (agents and requesters), Knowledge Article count and category structure, and Asset inventory. We run the workflow audit to document every active automation. We confirm which workspaces are production versus sandbox, and agree on the target Zendesk structure: Groups for flat organisations or multi-org for Suite Enterprise accounts requiring full data separation. We request the Asset Discovery CSV export at this stage so it is ready before migration begins.
Schema preparation in Zendesk
We pre-create all required custom fields in the Zendesk Admin Center: at_resolution_type__c, at_request_status__c, and any department, risk-level, or priority fields mapped from Atomicwork. We configure SLA Policies corresponding to Atomicwork's SLA tiers, create Groups mapped from Atomicwork workspaces or departments, and configure the Help Center structure (Categories and Sections) to receive Knowledge Articles. If Zendesk multi-org is required, we provision the organisational structure before proceeding.
Sandbox test migration and reconciliation
We run a full migration into the Zendesk Sandbox (or a parallel Zendesk account if Sandbox is not available on the customer's plan) using production-like data volume. The customer's IT service manager reconciles record counts (Tickets in, Agents in, End Users in, Articles in, Assets in), spot-checks 25-50 migrated Tickets against the Atomicwork source for conversation threading accuracy, and validates that custom field values populated correctly. Any mapping corrections are applied before production migration begins.
Agent and user provisioning
We extract every distinct Atomicwork user (agents and requesters) and resolve by email against the Zendesk destination account. Agents without a matching Zendesk account enter a reconciliation queue for the customer's admin to provision before record import resumes. Department and team assignments from Atomicwork map to Zendesk Groups, and agent roles map to Zendesk Agent or Admin roles based on the customer's role matrix.
Production migration in dependency order
We run production migration in record-dependency order: Agents first, then End Users, then Assets (including the Discovery CSV ingestion), then Knowledge Articles to the Help Center, and finally Tickets with conversation threading. The AI-versus-human resolution flag is written to at_resolution_type__c on each Ticket during import. Each phase emits a row-count reconciliation report before the next phase begins. SLA escalation timers are paused in Zendesk during import to prevent SLA breaches on historical Tickets.
Cutover, validation, and Workflow rebuild handoff
We freeze Atomicwork writes during cutover, run a final delta migration of any Tickets modified during the migration window, then enable Zendesk as the system of record. We deliver the Workflow automation inventory document mapped to Zendesk equivalents to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Atomicwork Workflows as Zendesk Triggers, Macros, or SLA Policies inside the migration scope; that work uses the handoff document and is handled by the customer's admin or a Zendesk partner.
Platform deep dives
Atomicwork
Source
Strengths
Weaknesses
Zendesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Atomicwork and Zendesk.
Object compatibility
1 of 7 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
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Atomicwork: Not publicly documented.
Data volume sensitivity
Atomicwork 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
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FAQ
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