Helpdesk migration
Field-level mapping, validation, and rollback between Atera and Gorgias. We move data and schema; workflows are rebuilt natively in Gorgias.
Atera
Source
Gorgias
Destination
Compatibility
9 of 12
objects map 1:1 between Atera and Gorgias.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Migrating from Atera to Gorgias is a platform-domain shift, not a simple record copy. Atera is a PSA+RMM platform built around per-technician licensing, device management, and MSP billing; Gorgias is an e-commerce customer service platform built around ticket volume, Shopify order context, and agent productivity. The core ticket and customer records migrate cleanly, but Atera's technician license gating, SLA policy definitions, contract billing structures, and RMM asset associations have no native Gorgias equivalent. We flag every schema gap during discovery, migrate what maps 1:1 (Tickets, Customers, Contacts, Tags, Custom Fields), and deliver a written inventory of the SLA policies, contracts, and macros that require admin rebuild post-cutover. Automations, integrations, and RMM device data do not migrate; we document the full integration landscape for reconfiguration after go-live.
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 Atera object lands in Gorgias, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Atera
Tickets
Gorgias
Ticket
1:1Atera Tickets map to Gorgias Tickets with the core fields preserved: subject, status, priority, customer association, assignee (technician), created date, and updated date. We resolve Atera's technician assignment to a Gorgias agent by email match. Tickets with no assigned technician (a common Atera gotcha for unassigned rows) are remapped to a nominated fallback agent during pre-flight validation. Tags on tickets carry through as string values and apply directly in Gorgias. Atera's ticket notes migrate as Gorgias ticket message threads, with the oldest message preserving the original created timestamp.
Atera
Customers
Gorgias
Customer
1:1Atera Customer records represent the MSP client organisation or internal IT department. We map company name, domain, primary contact email, and billing address to Gorgias Customer fields. The Customer record must import before any linked Contacts so that the association is satisfied at insert time. Duplicate Customer names are flagged during pre-flight; the customer's admin chooses whether to merge or preserve as separate records in Gorgias.
Atera
Contacts
Gorgias
Customer (person-level)
1:1Atera Contacts tied to a Customer account migrate to Gorgias Customer records with name, email, phone, and role preserved. The Contact-to-Customer association maps to the Gorgias Customer object, which supports both company-level and person-level records. We detect contacts with no parent Customer and assign them to a fallback Customer record nominated by the admin during discovery.
Atera
Agents / Technicians
Gorgias
Agent
1:1Atera technician records map to Gorgias agents by email address. We handle the technician license gating constraint documented in Atera's own migration article: if the CSV row count exceeds available seats, we coordinate a pre-scheduled disable/enable cycle with the customer's admin to free license slots sequentially. Agent role permissions (admin, technician, viewer) map to Gorgias Agent roles. Superpower-tier API rate limits do not apply because Atera's export is CSV-based on all non-Enterprise tiers.
Atera
Tags / Labels
Gorgias
Tag
1:1Tags on Tickets and Customers are simple string values in Atera. We carry them through as-is and apply them to the corresponding destination records. No value transformation is required. Tags are applied during the ticket and customer import phases using Gorgias's tag API endpoint.
Atera
Custom Fields
Gorgias
Custom Field
lossyAtera allows custom fields on Tickets, Customers, Contacts, Contracts, SLA Policies, Agents, and Generic forms. We detect the full custom field schema during discovery, generate the corresponding Gorgias custom fields via the POST /api/custom-fields endpoint (supported for Ticket and Customer object types), and map values during the import phase. Atera field types (Text, Number, Date, Checkbox, Dropdown) map to Gorgias managed types (text, number, boolean) and definition objects. Role-based field visibility restrictions in Atera do not have a Gorgias equivalent and are documented for admin review.
Atera
SLA Policies
Gorgias
SLA Rule (configuration)
lossyAtera's SLA policies define response time and resolution time thresholds by priority level. Gorgias has SLA rules but uses a different data model: SLAs are attached to channels and apply based on conditions rather than inheriting from a named policy object. We map Atera's SLA name and thresholds to Gorgias SLA rules created per-channel (email, chat, social) and document the original Atera SLA-to-ticket assignments for the admin to reattach post-migration. This is a rebuild item, not a direct data migration.
Atera
Contracts
Gorgias
External documentation
lossyAtera supports hourly, fixed-term, retainer, and project-based contract types with custom rates per customer. Gorgias has no contract billing object; billing is managed outside the helpdesk or through the connected e-commerce platform. We export contract records as a structured CSV inventory (contract type, rate, billing period, customer association) that the customer's admin uses to reconfigure billing in their accounting or e-commerce platform post-migration. This is a documentation deliverable, not a data import.
Atera
Knowledge Base Articles
Gorgias
Help Center Article
1:1Atera KB articles with title, body text, category assignment, and attachment links migrate to Gorgias Help Center articles. HTML content in Atera KB bodies may require sanitisation before insertion into Gorgias, which uses a different HTML sanitisation model. We flag articles with complex HTML, embedded iframes, or external asset links during pre-flight for manual review before the KB import phase runs.
Atera
Assets / Devices
Gorgias
Not applicable
1:1Atera's RMM layer tracks devices (workstations, servers, network hardware) with hardware specs, software inventory, and health status. Gorgias has no device or RMM layer; this is an e-commerce customer service platform where order data is the primary context object. Device records do not migrate. We deliver a CSV export of Atera device data (name, type, customer association, health status, last seen) as a documentation deliverable for the customer's admin to use if they deploy a separate RMM tool post-migration.
Atera
Billing Records / Timesheets
Gorgias
External documentation
1:1Atera billable time logged against tickets feeds PSA billing. Gorgias has no billing or timesheet object. Billable hour entries, rates, and totals export as a structured CSV that the customer's admin reconciles with their accounting platform (QuickBooks, Xero) post-migration. We do not import time entries into Gorgias as they have no destination object. Integration credentials for QuickBooks and Xero are platform-bound OAuth tokens that cannot transfer and are documented for reconfiguration.
Atera
Integrations (QuickBooks, Xero, Office 365, Google Calendar)
Gorgias
Integration configuration (post-migration)
1:1Integration credentials and OAuth tokens are platform-bound and cannot be transferred between Atera and Gorgias. We document every active Atera integration endpoint, trigger, and configuration during discovery as a written inventory. The customer's admin reauthenticates each integration in Gorgias post-migration. Office 365 and Google Calendar email/calendar sync must be re-established in Gorgias's channel and integration settings.
| Atera | Gorgias | Compatibility | |
|---|---|---|---|
| Tickets | Ticket1:1 | Fully supported | |
| Customers | Customer1:1 | Fully supported | |
| Contacts | Customer (person-level)1:1 | Fully supported | |
| Agents / Technicians | Agent1:1 | Mapping required | |
| Tags / Labels | Tag1:1 | Fully supported | |
| Custom Fields | Custom Fieldlossy | Mapping required | |
| SLA Policies | SLA Rule (configuration)lossy | Mapping required | |
| Contracts | External documentationlossy | Mapping required | |
| Knowledge Base Articles | Help Center Article1:1 | Mapping required | |
| Assets / Devices | Not applicable1:1 | Mapping required | |
| Billing Records / Timesheets | External documentation1:1 | Mapping required | |
| Integrations (QuickBooks, Xero, Office 365, Google Calendar) | Integration configuration (post-migration)1:1 | 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.
Atera gotchas
Legacy pricing realignment catches long-term customers
Technician license gating blocks bulk technician imports
Empty technician field on tickets creates unassigned records
API rate limits and bulk endpoints vary by tier
Superpower pricing lacks public rate card
Gorgias gotchas
AI Agent adds outcome-based fees on top of billable ticket costs
Overage billing for tickets scales nonlinearly
API rate limits restrict bulk export throughput
Agent data visibility cannot be restricted by role for GDPR use cases
Knowledge Base translations require separate API calls per locale
Pair-specific challenges
Migration approach
Discovery and CSV export validation
We audit the Atera account across plan tier, active ticket volume, customer count, contact count, technician count, custom field schemas on all entities, SLA policy definitions, contract records, KB article count, active tags, and any integration endpoints in use. We validate the Atera CSV export by requesting a sample extraction and checking column alignment against the documented export format. Any custom fields not present in the standard export are flagged for explicit column extraction. We also capture the technician license seat count against the plan tier to identify any overage before migration begins.
Schema mapping and Gorgias custom field provisioning
We design the destination schema in Gorgias before any data moves. This includes provisioning custom fields on Ticket and Customer objects via the Gorgias API (POST /api/custom-fields), matching Atera field types to Gorgias managed types, configuring SLA rules per channel with threshold values derived from the Atera SLA policy inventory, and creating a mapping matrix for ticket status, priority, and channel values. Any custom fields that cannot be provisioned (because Gorgias does not support the field type) are documented with the original values preserved in a CSV companion file for admin reference.
Sample migration and reconciliation
We run a sample migration using the first 50-100 records of each object type (Tickets, Customers, Contacts, Agents) into the customer's Gorgias account. The customer's admin reviews the imported records, confirms that custom field values populated correctly, checks ticket-message threading integrity, and validates that the correct agents received ticket assignments. Any mapping corrections (field name mismatches, status value discrepancies, channel assignments) are applied to the full migration spec before the production run. We do not proceed to full migration until the admin signs off on the sample.
Technician license choreography and agent provisioning
We coordinate the technician disable/enable sequence with the customer's Atera admin. The admin disables one existing technician account (freeing a seat), we import one new agent row, the admin disables the newly added technician, and the cycle repeats for each row in the agent import batch. This prevents license overage errors during the import. Simultaneously, the admin provisions the corresponding agent accounts in Gorgias with matching email addresses so that owner resolution works at ticket import time. Agent roles (admin, agent) are assigned per the Atera role mapping matrix.
Production migration in dependency order
We run production migration in strict dependency order: Gorgias Agents first (OwnerId resolution required), then Customers (Ticket.customer_id lookup required), then Contacts (linked to Customer), then Tickets (with technician-to-agent OwnerId resolved, unassigned fallback applied, tags applied, and SLA rules attached per channel), then KB articles (with HTML sanitisation pass applied to flagged articles), then Tags. Custom Fields are provisioned in step 2 so that they are available at the time of ticket and customer import. SLA policies and contracts are exported as structured CSV inventories in this step for post-migration rebuild. Each phase emits a row-count reconciliation report.
Cutover, validation, and rebuild handoff
We freeze Atera writes during the cutover window, run a final delta migration capturing any records created or modified during the migration run, then enable Gorgias as the system of record. We deliver the SLA policy rebuild checklist, contract CSV inventory, integration reconfiguration checklist, and KB article cleanup checklist to the customer's admin team. We support a five-business-day hypercare window where we resolve any record-count discrepancies or import errors raised by the team. We do not rebuild Atera automations or escalation paths inside the migration scope; those are documented for the admin to reconfigure in Gorgias Automate or Rules post-migration.
Platform deep dives
Atera
Source
Strengths
Weaknesses
Gorgias
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 3 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 Atera and Gorgias.
Object compatibility
3 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
Atera: Unlimited on Enterprise; not publicly documented for lower tiers.
Data volume sensitivity
Atera 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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