Helpdesk migration
Field-level mapping, validation, and rollback between Atomicwork and Zoho Desk. We move data and schema; workflows are rebuilt natively in Zoho Desk.
Atomicwork
Source
Zoho Desk
Destination
Compatibility
8 of 12
objects map 1:1 between Atomicwork and Zoho Desk.
Complexity
CModerate
Timeline
4-8 weeks
Overview
Atomicwork and Zoho Desk take fundamentally different approaches to service management. Atomicwork centres on a conversational-first Request object that captures every AI-resolved and human-resolved interaction across Slack, Teams, and a web portal, while Zoho Desk organises around Tickets assigned to Departments with a structured multi-channel routing model. The migration from Atomicwork to Zoho Desk is a schema translation problem: we map each Request to a Zoho Ticket with the original conversation thread intact, preserve AI-resolved versus human-resolved status as a custom field, resolve workspace isolation to Zoho Desk departments, and flag that workflow automations, Forms conditional logic, and Asset Discovery records cannot be exported via API and must be handled through manual export or rebuild. Zoho Desk's two-phase migration model (Phase 1 bulk import, Phase 2 delta and error correction) shapes our sequencing. We do not migrate Reports or Integrations as they have no API surface on either side.
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 Zoho Desk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Atomicwork
Request
Zoho Desk
Ticket
1:1Atomicwork Requests map to Zoho Desk Tickets. We map Request status (Open, In Progress, Resolved, Closed) to Zoho Ticket Status values, Request priority to Zoho Priority, and Request category to Zoho Ticket Category or a custom field. The AI-resolved vs human-resolved resolution flag from Atomicwork is preserved as a custom picklist field on the Zoho Ticket for SLA reporting and quality assurance. Atomicwork's Request number is stored as a custom field OriginalRequestNumber__c for audit traceability.
Atomicwork
Conversation
Zoho Desk
Ticket Comment / Thread
1:1Atomicwork conversation threads (agent replies, requester replies, system notes) attached to a Request migrate to Zoho Ticket Comments. Each comment carries the author name, timestamp, and body text. Thread direction (incoming/outgoing) is inferred from the author (requester vs agent) and stored as a comment type indicator. We use Zoho Desk's comment API endpoint to insert threads in chronological order against the migrated Ticket ID.
Atomicwork
User
Zoho Desk
Agent
1:1Atomicwork Users (both internal agents and employee requesters) map to Zoho Desk Agents. We match by email address as the dedupe key. Agent role in Atomicwork (Admin, Agent, Requester) maps to Zoho Desk role (Support Admin, Agent, Light Agent). Inactive Atomicwork users migrate as inactive Zoho Desk agents so that historical assignee references resolve without creating orphaned tickets. We flag any Atomicwork user without a matching email in the destination for the customer's admin to provision before the agent phase runs.
Atomicwork
Asset
Zoho Desk
Asset
1:1Atomicwork Assets (CI items with name, type, owner, location, and Request linkage) map to Zoho Desk Assets. Asset type and ownership fields migrate directly. However, Atomicwork's Asset Discovery scan results — network-connected devices, software versions, and configuration items from Discovery runs — are not accessible via the documented API. We request a Discovery export CSV from the customer before migration begins and map the CSV fields to Zoho Desk Asset fields manually. This is a manual step that must complete before the asset phase to maintain an accurate CMDB in Zoho Desk post-migration.
Atomicwork
Knowledge Article
Zoho Desk
Knowledge Base Article
1:1Atomicwork KB articles (title, body, category, status) map to Zoho Desk Knowledge Base articles. We preserve article body as HTML content and category as the Zoho KB section. Atomicwork tag relationships migrate as Zoho Desk article tags or a custom tag field. A known limitation: Zoho Desk's native Zwitch migration tool and its assisted migration process explicitly exclude KB article attachments. We flag this and provide two paths — a manual re-upload checklist for the customer, or a custom API script to transfer attachments individually if the volume is manageable.
Atomicwork
Change
Zoho Desk
Task
1:manyAtomicwork Changes (RFC records with status, priority, risk level, and CAB approvers) do not have a direct equivalent module in Zoho Desk's standard structure. We map Changes to Zoho Tasks with a custom record type ChangeRequest, preserving the risk level, priority, approval chain, and associated Request linkage. The customer may alternatively choose to map Changes to a Zoho Creator custom module if deeper Change management workflow modelling is required — this is decided during scoping.
Atomicwork
Forms
Zoho Desk
Custom Fields / Layout
lossyAtomicwork intake Forms (field structure, labels, and field types) are exported via API for mapping. Conditional branching, required rules, and form logic are not fully exposed via API, so we document the form structure and recommend equivalent Zoho Desk layout and field configurations. The customer's admin rebuilds form logic in Zoho Desk's Layouts and Fields section. We provide a field-by-field map for each form during the handoff.
Atomicwork
Workspace
Zoho Desk
Department
lossyAtomicwork workspaces are top-level organisational containers that must map to Zoho Desk Departments. Multi-workspace accounts require us to create corresponding Departments in Zoho Desk, configure department-level SLAs, and ensure that ticket routing rules reference the correct department context. We validate during scoping which workspaces contain live data versus sandbox environments, and whether the destination Zoho Desk instance can accommodate multi-department isolation or requires a single-department flatten strategy.
Atomicwork
Tag
Zoho Desk
Tag / Multi-Select Picklist
lossyAtomicwork Tags applied to Requests and Articles are exported as a flat list. We map tags to Zoho Desk Tags on Tickets and KB articles. Where the destination uses Zoho categories or taxonomies, we ask the customer to confirm the target taxonomy structure during scoping and then map source tags accordingly. Tags with no clear destination are preserved as a custom field for manual classification post-migration.
Atomicwork
Workflow
Zoho Desk
Blueprint
1:1Atomicwork workflow automations (triggers, conditions, actions) are stored server-side and not exposed via API for export. This is a high-severity limitation that affects every migration from Atomicwork. We run a full workflow audit during discovery — documenting every active trigger, condition, action, and SLA escalation timer across all workspaces. This inventory is handed to the customer as a Zoho Blueprint rebuild checklist. There is no shortcut: every automation, approval routing rule, and SLA escalation timer must be manually reconstructed in Zoho Desk Blueprint and workflow rules post-migration.
Atomicwork
Report
Zoho Desk
Report / Analytics
1:1Atomicwork Reports and dashboards are not API-exportable. We advise customers to document critical SLA metrics, ticket volume dashboards, and custom report configurations before migration begins. We do not migrate Reports. The customer recreates analytics in Zoho Desk's Reports module or Zoho Analytics. We provide a list of migrated data points available for reporting so the customer knows which metrics are reportable post-migration.
Atomicwork
Integration
Zoho Desk
Integration
1:1Native integrations with Slack, Microsoft Teams, Jira, GitHub, and other tools are configured per-account in Atomicwork and are not exported via API. We document which integrations are active during discovery and note which ones need to be reconfigured in Zoho Desk post-migration. Zoho Desk has a native Slack integration and a Teams connector, but Jira and GitHub integrations require Zoho Marketplace apps or webhook-based custom implementations.
| Atomicwork | Zoho Desk | Compatibility | |
|---|---|---|---|
| Request | Ticket1:1 | Fully supported | |
| Conversation | Ticket Comment / Thread1:1 | Fully supported | |
| User | Agent1:1 | Fully supported | |
| Asset | Asset1:1 | Fully supported | |
| Knowledge Article | Knowledge Base Article1:1 | Fully supported | |
| Change | Task1:many | Fully supported | |
| Forms | Custom Fields / Layoutlossy | Mapping required | |
| Workspace | Departmentlossy | Fully supported | |
| Tag | Tag / Multi-Select Picklistlossy | Fully supported | |
| Workflow | Blueprint1:1 | Fully supported | |
| Report | Report / Analytics1:1 | Fully supported | |
| Integration | Integration1:1 | Fully 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
Zoho Desk gotchas
Agent email identity determines comment ownership after migration
Blueprints and SLA policies do not export via API
File upload capped at 10GB per migration batch
Tier-gated export and migration capabilities
Inbound migration is two-phase with a hard Phase 2 cutoff
Pair-specific challenges
Migration approach
Discovery and workspace audit
We audit the source Atomicwork account across all workspaces — identifying live versus sandbox environments, Request volumes, conversation thread counts, active KB articles, Asset record counts, active workflow count, and Forms. We confirm the Asset Discovery CSV export can be produced by the customer before migration begins. We document the department structure required in Zoho Desk and map each Atomicwork workspace to a target department. The discovery output is a written migration scope document covering record counts per workspace, a preliminary object mapping, and a list of prerequisites (Asset Discovery CSV, admin access, Zoho Desk agent provisioning).
Zoho Desk schema design and Blueprint inventory
We design the destination Zoho Desk schema: custom fields on Ticket (including OriginalRequestNumber__c and ai_resolved__c), Ticket layouts per department, SLA configurations, department-level escalation rules, and the knowledge base section structure. We simultaneously run the Atomicwork workflow audit, documenting every active automation trigger, condition, and action across all workspaces. The Blueprint rebuild inventory is delivered as a separate checklist alongside the schema design, not inside it.
Asset Discovery CSV mapping and agent provisioning
The customer exports Asset Discovery records from Atomicwork and provides the CSV. We map the CSV fields to Zoho Desk Asset fields, handle any malformed rows, and flag records with missing required fields for customer resolution before the asset phase. Separately, we provision Zoho Desk Agents matching Atomicwork Users by email, setting roles (Support Admin, Agent, Light Agent) based on the Atomicwork role. Any unresolvable user-to-agent mappings go to a reconciliation queue for the customer admin to address.
Sandbox test migration and reconciliation
We run a full test migration into the customer's Zoho Desk sandbox environment using production-like data volumes from the discovery phase. The customer's IT operations lead reconciles record counts per module, spot-checks 25-50 random tickets against the source Atomicwork account (checking conversation threading, assignee resolution, and SLA timestamp injection), and validates the KB article structure. Any mapping corrections, missing fields, or SLA configuration issues are resolved in sandbox before production migration begins.
Production migration in dependency order
We execute production migration in dependency order: Agents first (validated), then Departments (from Workspaces), Assets (with Discovery CSV merged), Tickets (with ai_resolved__c and OriginalRequestNumber__c fields set), Ticket Comments (threaded in chronological order), Knowledge Base articles, Forms field map, and Changes (as Tasks with ChangeRequest record type). Each phase emits a row-count reconciliation report before the next phase begins. We use Zoho Desk's API credit system (rate-limit-aware) and handle 429 responses with exponential backoff. A two-week delta window runs after Phase 1 to capture records created in Atomicwork during the migration window.
Cutover, validation, and Blueprint rebuild handoff
We freeze Atomicwork writes during cutover, run the final delta migration, and enable Zoho Desk as the system of record. We validate ticket count, conversation thread integrity, SLA timestamp injection, and KB article structure in production. We deliver the Blueprint rebuild checklist (workflow inventory with recommended Zoho Desk equivalents) and the Forms field map to the customer's admin team for post-migration reconstruction. We do not rebuild workflows or forms as standard scope. We offer a one-week hypercare window for reconciliation issues and a separate engagement for Blueprint rebuild if the customer prefers FlitStack AI to handle it.
Platform deep dives
Atomicwork
Source
Strengths
Weaknesses
Zoho Desk
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 4 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Atomicwork and Zoho Desk.
Object compatibility
4 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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