Migrate your Atomicwork data
AI-first agentic service management platform combining ITSM and ESM into a single conversational layer. Built for enterprises replacing clunky portals with autonomous AI agents that resolve IT, HR, and Finance requests without tickets.
In its favor
Why people choose Atomicwork
The signal that keeps Atomicwork on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Atomicwork's agentic AI deflects 50%+ of routine IT, HR, and Finance requests without creating a ticket — reducing ticket volume and freeing IT teams from repetitive triage work.
The unified conversational layer lets employees raise requests from Slack, Teams, or a browser portal without switching context, which users consistently cite as the biggest quality-of-life improvement over legacy ITSM portals.
Unlike ServiceNow or Jira Service Management, Atomicwork does not require a large ITSM team to operate — customers report maintaining IT service levels without adding headcount.
The platform consolidates ITSM, HR service management, and Finance operations into a single platform with a shared data model, eliminating the cost and complexity of running separate tools.
Enterprise customers value the 24/7 support SLA, dedicated account managers, and guaranteed uptime commitments on the Enterprise tier.
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.
Reasons to switch
Why people leave Atomicwork
The recurring reasons buyers give for replacing Atomicwork. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Atomicwork fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Atomicwork pricing overview
Atomicwork uses a package-based model where pricing depends on the features and number of AI agents or workspaces included. The Free tier covers basic AI-assisted support for single-workspace deployments. Paid tiers (Professional and Enterprise) are quote-only, with Enterprise adding dedicated account management, SLA guarantees, and unlimited workspaces. No per-user pricing is listed publicly.
Free
Tier 1 of 3
Free
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Atomicwork's schedule — see our quote-based pricing →
What gets migrated
Atomicwork object support
Object-by-object support for Atomicwork migrations. Per-pair details surface during scoping.
Requests
Fully supportedThe primary ticket object. Requests have a status lifecycle, priority, category, requester, and assignee. Atomicwork tracks whether a Request was resolved by an AI agent or a human agent — we preserve this as a custom field on the destination. Request conversations (comments, attachments) are migrated as threaded entries.
Users
Fully supportedAtomicwork Users include both internal agents and employee requesters. We map Users to the destination's user/agent object, preserving name, email, role, and department. Inactive or deactivated users are flagged for the customer to decide whether to include or skip them.
Assets
Fully supportedCI items linked to Requests. We migrate Asset name, type, owner, location, and relationship to Requests. Asset Discovery records are not API-exportable; we handle these by requesting a manual export or CSV from the customer before migration.
Forms
Mapping requiredIntake forms and their field structure. We export form definitions and field labels, but form logic (conditional branching, required rules) is not fully exposed via API. We rebuild equivalent forms on the destination and note any field-level mapping changes.
Changes
Fully supportedRFC (Request for Change) records with status, priority, risk level, and linked CAB approvers. We migrate Changes with their approval chain and associated Request linkage.
Knowledge Articles
Mapping requiredKB articles used by the AI agent for deflection. We export title, body, category, and status. Tag relationships and article-to-category assignments require field-level mapping because the destination may use a different taxonomy model.
Workflows
Not in this platformWorkflow automations (triggers, conditions, actions) are built in Atomicwork's visual builder but are not exposed via API for export. We document every active workflow during discovery and rebuild equivalent automations on the destination platform post-migration.
Workspaces
Mapping requiredAtomicwork workspaces are top-level organisational containers for Requests, Assets, Users, and workflows. Multi-workspace accounts require us to map each workspace to an equivalent entity on the destination — either a separate instance, a department group, or a tag-based filter. Workspace-level permissions must be explicitly confirmed before migration scoping.
Conversations
Fully supportedComments and internal notes attached to a Request. We preserve the full conversation thread including agent replies, requester replies, and system notes. Attachment URLs are migrated as references; we flag any attachments that require re-upload to the destination's storage.
Tags
Mapping requiredLabels applied to Requests and Articles. We export tags as a flat list and map them to the destination's tagging system. Where the destination uses categories or taxonomies instead, we ask the customer to define the mapping.
Reports
Not in this platformDashboards and analytics reports are stored as user-specific configurations and are not API-exportable. We advise customers to document critical SLA metrics and custom reports before migration so they can be rebuilt on the destination.
Integrations
Not in this platformNative integrations with Slack, Microsoft Teams, Jira, GitHub, and other tools are configured per-account and are not exported via API. We document integration connections during discovery and note which ones require reconfiguration on the destination.
| Object | Support | Notes |
|---|---|---|
| Requests | Fully supported | The primary ticket object. Requests have a status lifecycle, priority, category, requester, and assignee. Atomicwork tracks whether a Request was resolved by an AI agent or a human agent — we preserve this as a custom field on the destination. Request conversations (comments, attachments) are migrated as threaded entries. |
| Users | Fully supported | Atomicwork Users include both internal agents and employee requesters. We map Users to the destination's user/agent object, preserving name, email, role, and department. Inactive or deactivated users are flagged for the customer to decide whether to include or skip them. |
| Assets | Fully supported | CI items linked to Requests. We migrate Asset name, type, owner, location, and relationship to Requests. Asset Discovery records are not API-exportable; we handle these by requesting a manual export or CSV from the customer before migration. |
| Forms | Mapping required | Intake forms and their field structure. We export form definitions and field labels, but form logic (conditional branching, required rules) is not fully exposed via API. We rebuild equivalent forms on the destination and note any field-level mapping changes. |
| Changes | Fully supported | RFC (Request for Change) records with status, priority, risk level, and linked CAB approvers. We migrate Changes with their approval chain and associated Request linkage. |
| Knowledge Articles | Mapping required | KB articles used by the AI agent for deflection. We export title, body, category, and status. Tag relationships and article-to-category assignments require field-level mapping because the destination may use a different taxonomy model. |
| Workflows | Not in this platform | Workflow automations (triggers, conditions, actions) are built in Atomicwork's visual builder but are not exposed via API for export. We document every active workflow during discovery and rebuild equivalent automations on the destination platform post-migration. |
| Workspaces | Mapping required | Atomicwork workspaces are top-level organisational containers for Requests, Assets, Users, and workflows. Multi-workspace accounts require us to map each workspace to an equivalent entity on the destination — either a separate instance, a department group, or a tag-based filter. Workspace-level permissions must be explicitly confirmed before migration scoping. |
| Conversations | Fully supported | Comments and internal notes attached to a Request. We preserve the full conversation thread including agent replies, requester replies, and system notes. Attachment URLs are migrated as references; we flag any attachments that require re-upload to the destination's storage. |
| Tags | Mapping required | Labels applied to Requests and Articles. We export tags as a flat list and map them to the destination's tagging system. Where the destination uses categories or taxonomies instead, we ask the customer to define the mapping. |
| Reports | Not in this platform | Dashboards and analytics reports are stored as user-specific configurations and are not API-exportable. We advise customers to document critical SLA metrics and custom reports before migration so they can be rebuilt on the destination. |
| Integrations | Not in this platform | Native integrations with Slack, Microsoft Teams, Jira, GitHub, and other tools are configured per-account and are not exported via API. We document integration connections during discovery and note which ones require reconfiguration on the destination. |
Gotchas
What to watch for in Atomicwork migrations
Issues we've hit on past Atomicwork migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
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
| Severity | Issue |
|---|---|
| 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 |
Leaving Atomicwork?
Where Atomicwork customers move next
7 destinations Atomicwork can migrate to.
How a Atomicwork migration works
Four steps, Atomicwork-specific
Connect
API key (x-api-key header) into Atomicwork. Scopes limited to read-only on the data we move.
Map
We translate Atomicwork-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Atomicwork quirks before production.
Migrate
Full migration with Atomicwork rate-limit handling. Rollback available throughout.
FAQ
Atomicwork migration FAQ
Answers to the questions buyers ask most during Atomicwork migration scoping. Not seeing yours? Book a call.
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Migrate Atomicwork.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your Atomicwork setup and destination — written quote back within a business day.