Helpdesk migration

Migrate from Atomicwork to Zendesk

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

Atomicwork logo

Atomicwork

Source

Zendesk

Destination

Zendesk logo

Compatibility

82%

9 of 11

objects map 1:1 between Atomicwork and Zendesk.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Zendesk logo

Zendesk

What's pulling them in

  • Mature omnichannel routing across email, chat, phone, messaging, and social — one unified inbox for support teams regardless of size or complexity.
  • Deep automation with Triggers, Automations, and SLA Policies lets high-volume teams enforce consistent workflows without manual ticket handling.
  • Large ecosystem of third-party integrations and a public app marketplace reduce friction for teams already using Salesforce, Jira, or Slack.
  • Industry-leading brand recognition and trust signal — many enterprise buyers default to Zendesk as a known quantity in vendor procurement cycles.
  • Generous documentation library and community mean onboarding teams can self-configure without needing a services engagement to get started.

Object mapping

How Atomicwork objects map to Zendesk

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

maps to

Zendesk

Ticket

1:1
Fully supported

Atomicwork 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)

maps to

Zendesk

Agent

1:1
Fully supported

Atomicwork 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)

maps to

Zendesk

End User

1:1
Fully supported

Atomicwork 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

maps to

Zendesk

Assets

1:1
Fully supported

Atomicwork 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

maps to

Zendesk

Ticket Fields

1:1
Mapping required

Atomicwork 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

maps to

Zendesk

Zendesk Guide Articles

1:1
Mapping required

Atomicwork 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

maps to

Zendesk

Macros and SLA Policies

1:many
Fully supported

Atomicwork 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

maps to

Zendesk

Ticket Comments

1:1
Fully supported

Atomicwork 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

maps to

Zendesk

Tags

1:1
Mapping required

Atomicwork 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

maps to

Zendesk

Groups or Organisations

lossy
Mapping required

Atomicwork 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

maps to

Zendesk

Triggers, Macros, Automations

1:1
Not supported

Atomicwork 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.

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

Zendesk logo

Zendesk gotchas

High

Data export requires API scripting on non-Enterprise plans

Medium

Automations cap at 500 active rules and 1,000 tickets per hour

Medium

Help Center has no native export feature

High

Custom Objects and full data export are Enterprise-only

Pair-specific challenges

  • Workflow automations cannot be exported from Atomicwork

    Atomicwork's visual workflow builder stores automation logic server-side without exposing it via API. During migration scoping we run a full workflow audit across all workspaces, documenting every trigger, condition, action, and SLA escalation timer. This inventory is handed to the customer as a rebuild checklist mapped to Zendesk equivalents (Triggers, Macros, SLA Policies). There is no automated path: every Zapier-equivalent flow, approval routing rule, and SLA escalation logic must be manually reconstructed on the destination. Zendesk's own automation APIs can be used programmatically to rebuild triggers and macros, which reduces manual effort compared to a pure UI rebuild.

  • Knowledge base imports can create duplicate articles

    When migrating Knowledge Articles from Atomicwork to Zendesk Guide, sources consistently warn that tools that do not validate by article title before insert create duplicate articles in Zendesk. We mitigate this by exporting a title-and-body hash from Atomicwork before migration, checking for existing articles in the Zendesk Help Center by title match, and skipping inserts for duplicates. We also advise customers to validate the Help Center structure (Categories and Sections) before bulk article ingestion to prevent articles landing in the wrong section. We do not migrate article version history; only the current published state transfers.

  • Multi-workspace scoping must be resolved before migration

    Atomicwork's multi-workspace model means a single account may contain isolated environments for different business units or IT service teams. Zendesk does not have a direct workspace equivalent at Suite Team, Growth, or Professional tiers. During scoping we confirm which workspaces contain live data, which are sandbox environments, and whether the destination Zendesk account uses Groups (suitable for most flat-organisation ITSM migrations) or requires Zendesk multi-org (Suite Enterprise only). Workspace scoping errors result in Requests being imported into the wrong organisational context, which is difficult to correct post-migration without a full re-export.

  • Asset Discovery requires a manual CSV export before migration

    Atomicwork's API exposes the Assets endpoint but not the Asset Discovery scan results that populate the CMDB. Discovery scan records about network-connected devices, software versions, and configuration items are not retrievable via the documented API. We request a Discovery export CSV from the customer's Atomicwork instance before migration begins, as this data is essential for maintaining an accurate CMDB post-migration. The CSV is ingested as a separate Asset import into Zendesk, mapping configuration item fields to Zendesk Asset custom fields.

  • Custom fields must be pre-created in Zendesk before Request migration

    Zendesk requires custom ticket fields to exist in the account before data can be mapped to them during import. We pre-create all required custom fields (at_resolution_type__c for AI-versus-human resolution, at_request_status__c for original Atomicwork status, and any department or priority custom fields) in the Zendesk Admin Center before any Ticket records are migrated. Failing to pre-create fields results in those values being dropped at import time with no error until reconciliation discovers missing data.

Migration approach

Six steps for a successful Atomicwork to Zendesk data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

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.
Zendesk logo

Zendesk

Destination

Strengths

  • Well-documented REST API with broad endpoint coverage for Tickets, Users, Organizations, and Help Center.
  • Rich automation primitives: Triggers (event-driven), Automations (time-based), and Macros with variable substitution.
  • Multi-brand support enables large organizations to route and isolate support by product line or subsidiary.
  • Scalable from small teams on Team plan to global enterprises on Enterprise Plus with sandbox and disaster recovery options.
  • Large partner ecosystem and marketplace with hundreds of pre-built integrations reduces integration work at deployment.

Weaknesses

  • Per-agent pricing with aggressive feature gating makes lower tiers feel artificially limited.
  • No native full-KB export — Help Center content requires API scripting to extract.
  • AI features are add-on priced and behave inconsistently, not deeply embedded in core workflows.
  • Implementation timelines for complex multi-channel setups routinely exceed initial estimates by weeks or months.
  • Knowledge base and help center functionality are separate from core ticketing with their own permission model and versioning.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Atomicwork and Zendesk.

  • Object compatibility

    B

    1 of 7 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

    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 Zendesk 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 Zendesk data migrations

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

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Most migrations land between two and four weeks for accounts under 15,000 Requests and 500 Knowledge Articles with a single-workspace or straightforward workspace-to-Group mapping. Migrations with multi-workspace flattening, large Knowledge Bases requiring deduplication, Asset Discovery CSV ingestion, or substantial conversation history move to six to ten weeks because of the manual CSV work, article reconciliation, and workspace restructuring scope. We begin with a one to two week discovery and scoping phase regardless of data volume.

Adjacent paths

Related migrations to explore

Ready when you are

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