Helpdesk migration

Migrate from Atera to Gorgias

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

Atera logo

Atera

Source

Gorgias

Destination

Gorgias logo

Compatibility

75%

9 of 12

objects map 1:1 between Atera and Gorgias.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Atera logo

Atera

What's pushing teams away

  • Legacy pricing alignment to 2026 website rates caused sticker shock for long-standing customers on previously negotiated rates.
  • Patch management reliability issues — failed deployments, missed patches, and Windows update conflicts — surfaced repeatedly on Reddit and community forums.
  • SSO and advanced directory sync are gated behind the Enterprise tier, pushing compliance-conscious IT teams toward platforms with SSO on lower tiers.
  • Reporting in lower tiers lacks flexibility, with caps on custom report density and limited dynamic filters compared to dedicated BI tools.
  • Per-action AI overage pricing for Robin AI add-ons created unpredictable monthly bills not reflected in base plan costs.

Choosing

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How Atera objects map to Gorgias

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

maps to

Gorgias

Ticket

1:1
Fully supported

Atera 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

maps to

Gorgias

Customer

1:1
Fully supported

Atera 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

maps to

Gorgias

Customer (person-level)

1:1
Fully supported

Atera 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

maps to

Gorgias

Agent

1:1
Mapping required

Atera 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

maps to

Gorgias

Tag

1:1
Fully supported

Tags 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

maps to

Gorgias

Custom Field

lossy
Mapping required

Atera 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

maps to

Gorgias

SLA Rule (configuration)

lossy
Mapping required

Atera'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

maps to

Gorgias

External documentation

lossy
Mapping required

Atera 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

maps to

Gorgias

Help Center Article

1:1
Mapping required

Atera 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

maps to

Gorgias

Not applicable

1:1
Mapping required

Atera'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

maps to

Gorgias

External documentation

1:1
Mapping required

Atera 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)

maps to

Gorgias

Integration configuration (post-migration)

1:1
Not supported

Integration 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.

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.

Atera logo

Atera gotchas

High

Legacy pricing realignment catches long-term customers

High

Technician license gating blocks bulk technician imports

Medium

Empty technician field on tickets creates unassigned records

Medium

API rate limits and bulk endpoints vary by tier

Low

Superpower pricing lacks public rate card

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • CSV export requires transformation for Gorgias REST API ingestion

    Atera's primary export mechanism on non-Enterprise tiers is CSV-based, but Gorgias ingests data through its REST API with JSON payloads and typed field expectations. We handle the full transformation pipeline: CSV row parsing, field-type coercion (date formats, boolean string values, null handling), JSON serialisation matching Gorgias's API schema, and batch chunking with rate-limit handling on the destination side. Skipping this step results in rejected records or silent data loss. We validate the CSV schema against Atera's documented export format during discovery and flag any custom field columns that require explicit type mapping before ingestion.

  • Technician license gating blocks bulk agent imports

    Atera enforces a strict per-technician seat count. When the agent CSV row count exceeds available licenses, Atera's own migration documentation prescribes a workaround: an existing technician must be temporarily disabled to free a seat, the new technician added, disabled again, and the cycle repeated for each row. We coordinate this choreography with the customer's admin during a pre-scheduled maintenance window, pre-scheduling the disable/enable sequence so that no tickets are orphaned during the import window. We validate the technician count against the Atera plan seat limit during discovery and surface any overage before migration begins.

  • SLA policies and contracts have no Gorgias equivalent and require rebuild

    Atera's SLA policies define named response and resolution time thresholds tied to ticket priority, and contracts hold billable rate structures per customer. Gorgias has SLA rules (channel-scoped, condition-based) but no named SLA inheritance model, and has no contract or billing object. SLA-to-ticket assignments must be reattached manually by the admin post-migration. Contract records export as a CSV inventory rather than a direct data import. We document the full Atera SLA and contract landscape during discovery and deliver it as a structured rebuild checklist.

  • Unassigned tickets create orphan records without fallback routing

    Atera's CSV import treats an empty technician field as an explicit null assignment, resulting in tickets with no owner and unassigned status at cutover. We run a pre-flight validation pass that identifies every ticket with no technician assignment, remaps those rows to a nominated fallback agent nominated by the admin before committing the import batch, and flags any remaining unassignable rows (e.g., referencing a deleted technician with no fallback) for admin resolution.

  • Knowledge base HTML sanitisation may require manual cleanup

    Atera KB articles may contain embedded iframes, complex table layouts, or external asset URLs that do not survive Gorgias's HTML sanitisation pass during import. Articles flagged during pre-flight as high-risk are held from the bulk KB import and delivered as a separate checklist item for the admin to review, sanitise, and republish individually. Standard articles with clean HTML (headings, paragraphs, ordered and unordered lists, basic links and images) import without intervention.

Migration approach

Six steps for a successful Atera to Gorgias data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Atera logo

Atera

Source

Strengths

  • Per-technician pricing with unlimited devices and customers means fleet growth does not inflate the monthly bill.
  • Unified RMM and PSA in one cloud interface covers monitoring, patching, ticketing, and billing without tool switching.
  • Built-in remote access launches directly from within tickets, reducing average handle time per incident.
  • Automated patch deployment with scheduling and approval workflows reduces manual endpoint maintenance overhead.
  • Fast onboarding and G2-rated customer support reduce time-to-value for new MSP customers.

Weaknesses

  • 2026 pricing realignment and AI overage add-ons introduced unpredictability into billing for legacy customers.
  • Patch management reliability issues are documented in community forums, with failed deployments and missed patches reported repeatedly.
  • SSO, audit log retention beyond one year, and custom API access require Enterprise tier commitment.
  • Reporting depth in lower tiers is limited; advanced analytics require Power tier or above.
  • Performance degrades when managing large device fleets through the web interface, per G2 reviews.
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Atera and Gorgias.

  • Object compatibility

    C

    3 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

    Atera: Unlimited on Enterprise; not publicly documented for lower tiers.

  • Data volume sensitivity

    B

    Atera doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Atera to Gorgias migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

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FAQ

Frequently asked questions about Atera to Gorgias data migrations

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

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Most migrations land between three and five weeks for accounts with fewer than 10,000 tickets, 1,000 customers, and 200 agents, with no custom fields on more than three entities and no active KB content requiring HTML sanitisation. Migrations with large KB article libraries, complex custom field schemas across four or more entities, full SLA policy inventories requiring manual rebuild documentation, and delta migration windows after cutover move to six to nine weeks. The technician license choreography adds a discrete maintenance window but does not extend the overall timeline significantly.

Adjacent paths

Related migrations to explore

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